data engineer

software engineer manager (remote) Jobs in Atlanta

software engineer manager (remote)

sr. project manager

ai engineer

data center chief engineer- atl2 Jobs in Atlanta

data center chief engineer- atl2

senior database engineer

Syms Strategic Group, LLC (SSG)

<div><b>Syms Strategic Group (SSG) </b>is seeking a talented <b>Senior Database Developer
</b><br>
<b>Location: </b>Remote<br>
<b>Department: </b>Veterans Affairs (VA)<br>
<b>Type: </b>Full Time<br>
<b>Min. Experience: </b>Experienced<br>
<b>Security Clearance Level: </b>Public Trust (MBI)<br>
<br>
<b>Military Veterans are highly encouraged to apply!</b><br>
<div><div><div><b>
Essential Duties and Responsibilities</b></div></div><br>
<div><ul><li>
Establish database management systems, standards, requirements, guidelines, and quality assurance for database deliverables such as conceptual design and architecture, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan, and security policy</li><li>
Work with clients to translate business requirements into a logical model that will accurately support and represent the client&rsquo;s entity relationship and flow of data</li><li>
Develop the appropriate database framework to convert the logical model into a physical model, including the creation and maintenance of schemas containing windows, screens, tables, columns, and reports that support the model</li><li>
Make recommendations to maximize opening efficiency, support storage requirements and vendor software updates, enforce data governance, and ensure recovery is maintained</li><li>
Participate in quality assurance and develop test application code in client server environment</li></ul></div><br>
</div>
<div><div><div><b>
Required Skills and Experience</b></div></div><br>
<div><ul><li>
Proven track record of working with complex database systems and data warehousing solutions</li><li>
Experience with database design, architecture, and data modeling</li><li>
Proficiency in Structured Query Language (SQL) programming and query optimization</li><li>
Strong knowledge of database management systems (DBMS) such as Microsoft SQL Server, Oracle, MySQL, or PostgreSQL</li><li>
Experience with performing tuning, indexing, and database query optimization techniques</li><li>
An ability to write and troubleshoot complex SQL queries, stored procedures, and triggers</li><li>
Familiarity with Extract, Transform, and Load (ETL) processes and tools (e.g., SSIS, Informatica, Talend)</li><li>
An understanding of data warehousing concepts and technologies</li><li>
Knowledge of backup and recovery processes</li><li>
Experience with database security, user roles, and permissions</li><li>
Proficiency in scripting languages such as Python or PowerShell for database automation tasks</li><li>
Strong analytical and problem-solving skills</li><li>
Excellent communication and collaboration abilities</li><li>
Capability to work independently and as part of a team</li><li>
Attention to detail and commitment to high-quality work</li><li>
An ability to prioritize multiple tasks and meet deadlines</li><li>
A strong understanding of business processes and requirements gathering</li><li>
An ability to mentor and provide technical guidance to junior developers</li></ul></div><br>
<div><div><b>
Professional Certifications</b></div><div> None required, but advanced certifications in database management systems (e.g., Microsoft SQL Server, Oracle Certified Professional) are preferred</div></div><br>
<div><div><b>
Years of Professional Experience</b></div><div> Eight (8) or more years of professional experience<br>
Eight (8) or more years of experience in SQL development and database management</div></div><br>
<div><div><b>
Desired experience</b></div><div> Electronic Data Interchange X.12 (EDI) Medical Claims<ul><li>
X.12 medical claims (837, 834, 277, etc)</li></ul>
Experience with T-SQL<br>
Experience in a high paced DevOps environment<br>
Experience working with remote U.S. based teams (Not Offshore teams)<br>
Master&rsquo;s degree in Computer Science, Electronics Engineering, or other engineering/technical discipline<br>
Familiarity with cloud database solutions (e.g., Amazon Web Services Relational Database Service (AWS RDS), Azure SQL Database)<br>
Experience with version control systems (e.g., Git)<br>
Familiarity with Agile development methodologies</div></div><br>
<div><div><b>
Formal Education</b></div><div> Bachelor&rsquo;s degree in Computer Science, Electronics Engineering, or other engineering/technical discipline</div></div><br>
<div><div><b>
Citizenship Requirement</b></div><div><b> U.S. Citizenship required for this specific opportunity</b></div></div><br>
<div><div><b>
Security Clearance Requirements</b></div><div> Must possess or qualify for a Public Trust (MBI)</div></div><br>
<div><div><b>
CRITICAL NOTES:
</b></div><ul><li>SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered.</li><li>
Recruiters or Third parties will not be considered.</li><li>
This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ or NY will not be considered.</li><li>
This is a W-2 position
</li><li>All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions.</li><li>
As part of our screening process, you will be requested to provide a link to your LinkedIn profile.</li></ul></div><br>
</div><br>
<b><i>
U.S Citizenship is required for this specific opportunity</i></b>. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.<br>
<br>
Syms Strategic Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information.<br>
<p>
</p><p>gYCvr5kXJh</p></div>

Senior Database Developer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior Data Engineer to lead the design and development of the scalable, high-performance data architecture that underpins our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Architect and develop scalable, resilient batch and streaming data pipelines using ADF, Databricks, and Spark &mdash; designed for the throughput and reliability CDP demands at population scale.</li></ul>
<ul><li> Design and implement end-to-end data architecture across ADLS, Snowflake, Cosmos DB, and SQL Server, ensuring optimal storage strategies for different customer data workloads.</li></ul>
<ul><li> Define and enforce data modeling standards, data contracts, and schema evolution strategies that protect the integrity of CDP as the single source of truth.</li></ul>
<ul><li> Build and maintain data quality, reconciliation, and observability frameworks &mdash; ensuring every customer profile meets the accuracy and completeness thresholds required for trusted, authoritative data.</li></ul>
<ul><li> Optimize performance, scalability, and cost efficiency of large-scale distributed data systems processing billions of customer records.</li></ul>
<ul><li> Develop and manage data ingestion frameworks for APIs, event streams (Event Hub/Kafka), and enterprise systems &mdash; ensuring no customer touchpoint is missed.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in data engineering and distributed data systems</li></ul>
<ul><li> Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases</li></ul>
<ul><li> Strong experience in cloud-native architectures (Azure preferred)</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Advanced programming: Python, Spark (PySpark/Scala), SQL</li></ul>
<ul><li> Azure ecosystem: ADF, ADLS, Databricks</li></ul>
<ul><li> Data platforms: Snowflake, Cosmos DB, SQL Server</li></ul>
<ul><li> Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains</li></ul>
<ul><li> Experience with API integrations and event-driven architectures at scale</li></ul>
<ul><li> Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring &mdash; with a focus on trust and accuracy</li></ul>
<ul><li> Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)</li></ul>
<ul><li> Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)</li></ul>
<ul><li> Experience implementing data governance, lineage, and access controls in regulated environments</li></ul>
<ul><li> Expertise in performance tuning and cost optimization for population-scale data processing</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for data platforms that must be both authoritative and performant</li></ul>
<ul><li> Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior Data Engineer — Customer Data Platform

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior SDET Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Testing</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior SDET Engineer to own quality engineering for our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and implement scalable test automation frameworks for data pipelines, APIs, and distributed systems &mdash; with quality standards calibrated to CDP's role as the authoritative source of truth</li></ul>
<ul><li> Build data validation frameworks to ensure completeness, accuracy, and consistency of customer profiles across systems (e.g., ADLS, Databricks, Snowflake)</li></ul>
<ul><li> Develop manual and automated tests for batch and streaming data pipelines, including reconciliation, anomaly detection, and data freshness validation</li></ul>
<ul><li> Validate identity resolution outputs &mdash; ensuring deduplication, matching, and golden profile creation meet accuracy thresholds before data reaches downstream consumers</li></ul>
<ul><li> Validate API integrations and microservices, including contract testing and performance validation for systems serving real-time customer experiences</li></ul>
<ul><li> Drive test strategy for cloud-native and data platforms, including CI/CD integration and shift-left practices that catch quality issues before production</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in software quality engineering / SDET roles, preferably in data platforms or cloud environments</li></ul>
<ul><li> Strong experience testing data engineering pipelines and large-scale datasets</li></ul>
<ul><li> Hands-on experience with cloud platforms (Azure preferred) and modern data stack technologies</li></ul>
<ul><li> Experience working in Agile/Scrum environments</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Strong programming skills in Python, Java, or Scala</li></ul>
<ul><li> Experience with data platforms and storage systems: ADLS, Databricks, Snowflake, SQL Server, Cosmos DB</li></ul>
<ul><li> Experience validating ETL/ELT pipelines, including batch and streaming (Kafka/Event Hub)</li></ul>
<ul><li> Hands-on experience with API testing tools (Postman, Rest Assured, PyTest, etc.)</li></ul>
<ul><li> Experience building test automation frameworks from scratch for data-intensive applications</li></ul>
<ul><li> Knowledge of CI/CD pipelines and integration with testing frameworks</li></ul>
<ul><li> Experience with data quality tools, reconciliation techniques, and query-based validation at scale</li></ul>
<ul><li> Exposure to GenAI/LLM validation, Azure AI Foundry, or similar platforms is a strong plus</li></ul>
<ul><li> Familiarity with performance testing and scalability validation for distributed systems processing billions of records</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong understanding of data architecture, distributed systems, and the unique quality challenges of population-scale customer data</li></ul>
<ul><li> Ability to think in terms of data correctness, lineage, and system reliability &mdash; understanding that data quality is the foundation of CDP's authority</li></ul>
<ul><li> Excellent problem-solving and debugging skills in complex, multi-system environments</li></ul>
<ul><li> Strong collaboration skills across engineering, AI/ML, product, and operations teams</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $68,000-$102,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>api testing,selenium,java,data lineage,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 68,000.00 to 102,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior SDET Engineer — Customer Data Platform

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p>
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.</p><p></p><p>
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!</p><p></p><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement &amp; Machine Learning team at CNN is accelerating our digital transformation through strategic applications of ML and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. This year we are partnering with teams across the company to democratize AI at CNN. Our &quot;multiplier&quot; approach allows our team to have outsized organizational impact by providing domain expertise, enabling teams, collaborating deeply, and building shared infrastructure.</p><h2 class="jobSectionHeader"><b>
About the Job/Responsibilities</b></h2><p>
The team is composed of multiple squads: the platform squad along with cross-functional squads that leverage the platform to develop products. As a senior engineer on our platform squad, you will work on a team of 4+ engineers and optimize experimentation, development, and production operations for our ML and AI-powered experiences. You will build and maintain pipelines and APIs, provide developer tooling, and partner on integrations.</p><p>
Here are some of the key challenges our team will tackle this year:</p><ul><li><b>
Optimize Site Performance: </b>Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication</li><li><b>
Enhance Data Access: </b>Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development</li><li><b>
Accelerate Experimentation: </b>Partner with our Data &amp; Analytics organization to improve the tooling and coordination involved in A/B testing</li><li><b>
Support Engineering with Foundational Models: </b>As tools like Bedrock emerge, enhance our platform to support them, ensuring we&rsquo;re prepared for the next generation of AI-powered applications</li></ul><p>
Here are some of the things you can expect to do on a day-to-day basis:</p><ul><li>
Work closely with ML engineering to make data easily accessible and understandable</li><li>
Ensure the reliability and minimize the latency of data delivery for ML use cases</li><li>
Create transparency in our data pipelines with comprehensive telemetry</li><li>
Develop and enforce data engineering, security, data quality standards through automation</li><li>
Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture</li><li>
Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable</li><li>
Ensure that code is readable, maintainable, scalable, observable, and resilient</li><li>
Independently own and execute on projects within your squad</li><li>
Collaborate effectively with engineers across the team to deliver projects scale and integrate ML and AI features into the website, mobile app, and editorial tools</li><li>
Contribute to the design of components and systems and represent your thoughts in architecture reviews</li><li>
Be responsive to incidents and participate effectively in incident retrospectives</li><li>
Champion improvements to developer experience, integrations, and testing processes</li><li>
Support, coach, mentor, and provide valuable feedback to junior engineers on your squad</li></ul><p>
Here is the approach we value:</p><ul><li>
Author, review, and optimize production-quality code that adheres to industry standards and best practices (IaC, CICD, etc.)</li><li>
Demonstrate a passion for software engineering, with a strong sense of responsibility for the code you and your team write</li><li>
Take ownership of issues and be a strong advocate for your team and the products</li><li>
Embrace failure as a learning opportunity&mdash;use research and experimentation to ultimately choose the best solutions that meet company goals</li><li>
Follow a progressive development methodology, moving from proof-of-concept to prototype to production release</li><li>
Enhance the effectiveness of your squad, the team, and our partners by sharing your knowledge, communicating about complex technologies and problems in simple terms, and driving technical decisions</li><li>
Collaborate across functions, squads, teams, and organizations to best serve our users</li></ul><h2 class="jobSectionHeader"><b>
The Essentials</b></h2><p>
We&rsquo;re looking for someone with:</p><ul><li>
5+ years progressively complex experience designing, building, and shipping products</li><li>
3+ years experience in data engineering roles or backend roles with a data focus</li><li>
2+ years experience building data pipelines with IaC</li><li>
2+ years experience with Python</li><li>
2+ years experience in one of Golang, Java, C++</li><li>
2+ years experience with Kafka or equivalent</li><li>
Proficiency with Postgres or equivalent</li><li>
Proficiency with DynamoDB or equivalent</li><li>
Proficiency with Terraform or equivalent</li><li>
Deep understanding of common software data structures and algorithms and experience in modern data engineering technologies and best practices</li><li>
A proven track record of building real-time products for web scale that are highly available and performant</li><li>
A collaborative mindset, understanding that great results come from teamwork and a positive culture</li></ul><h2 class="jobSectionHeader"><b>
The Nice to Haves</b></h2><ul><li>
Experience with ML feature stores</li><li>
Practical experience developing and maintaining ML data pipelines and tooling</li><li>
Understanding of experimentation frameworks and A/B testing methodologies</li><li>
Practical experience with recommendations, search and/or personalization</li></ul><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.<p></p><p>
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</p></div><p></p>

Senior Data Engineer

Honeywell

<div><p>As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will design and implement scalable data architectures and pipelines that enable next-generation AI capabilities, including large-scale machine learning models, intelligent automation, and real-time analytics. You will work closely with cross-functional teams to transform high-volume IoT telemetry into reliable, actionable insights that support Honeywell&rsquo;s connected industrial solutions.<br>
</p><p><br>
You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.<br>
</p><p></p><p><b>KEY RESPONSIBILITIES
</b></p><p><b>Data Engineering &amp; AI Pipeline Development:
</b></p><ul><li>Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
</li><li>Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
</li><li>Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
</li><li>Lead the architecture and development of scalable data platforms on Databricks
</li><li>Drive the integration of GenAI capabilities into data workflows and applications
</li><li>Optimize data processing for performance, cost, and reliability at scale
</li><li>Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
</li></ul><p><b>DataOps:
</b></p><ul><li>Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
</li><li>Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
</li><li>Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
</li><li>Design and maintain automated documentation for data lineage and AI model provenance
</li></ul><p><b>Collaboration &amp; Innovation:
</b></p><ul><li>Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
</li><li>Mentor team members and provide technical leadership on complex data engineering challenges
</li><li>Establish data engineering best practices, including modular code design and reusable frameworks
</li><li>Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape</li></ul></div>
<br><div><p><b>YOU MUST HAVE
</b></p><ul><li>Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
</li><li>Extensive experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow for batch and streaming pipelines from
</li><li>Event Hub or Kafka sources
</li><li>Strong hands-on proficiency with PySpark for distributed data processing and transformation
</li><li>Strong experience working with cloud platforms such as Azure, GCP and Databricks, especially in designing and implementing AI/ML-driven data workflows
</li><li>Proficient in CI/CD practices using Databricks Asset Bundles (DAB), Git workflows, GitHub Actions, and understanding of DataOps practices including data quality testing and observability
</li><li>Hands-on experience building RAG applications with vector databases, LLM integration, and agentic frameworks like LangChain, LangGraph
</li>Natural analytical mindset with demonstrated ability to explore data, debug complex distributed systems, and optimize pipeline performance at scale<br>
<li>
</li></ul><p></p><p><br>
<b>WE VALUE
</b></p><ul><li>Experience building RAG and agentic architecture solutions and working with LLM-powered applications
</li><li>Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
</li><li>Knowledge of MLOps practices and experience building data pipelines for AI model deployment
</li><li>Experience with time-series databases and IoT data modeling patterns
</li><li>Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
</li><li>Strong background in data quality implementation for AI training data
</li><li>Experience working with distributed teams and cross-functional collaboration
</li><li>Knowledge of data security and governance practices for AI systems
</li>Experience working on analytics projects with Agile and Scrum Methodologies<br>
<li>
</li></ul><p></p><p><b>US PERSON REQUIREMENT
</b></p><p>Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.<br>
</p><p></p><p><br>
<b>BENEFITS OF WORKING FOR HONEYWELL
</b></p><p>In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.<br>
</p><p></p><p><br>
<b>ABOUT HONEYWELL
</b></p><p>Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.<br>
</p><p></p><p><br>
<b>THE BUSINESS UNIT
</b></p><p>Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell&rsquo;s domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights, uniting real-time data across assets, people, and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper, you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all, we are not imagining the future; we&rsquo;re building it.<br>
</p><p></p><p><br>
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/7/2026</p></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr Data Engineer

Codoxo

<div>
 <p>
  PLEASE NOTE BEFORE APPLYING:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE
  </u>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    This is for a Full Time Role with Codoxo, NOT C2C
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Position Summary
   </em>
  </strong>
  :
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Engineer supports the design, development, and maintenance of scalable data pipelines that power analytics, reporting, and machine learning initiatives. Working under the guidance of senior engineers, this role contributes to building reliable ETL workflows, optimizing database performance, and integrating structured and unstructured data sources.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position partners closely with data scientists, analysts, and cross-functional stakeholders to ensure timely, accurate, and secure data delivery. By strengthening foundational data infrastructure, the Junior Data Engineer helps advance analytics maturity, enable AI initiatives, and promote data-driven decision-making across the organization. The role consistently leverages AI tools to enhance productivity, code quality, and solution effectiveness.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Key Responsibilities
   </em>
  </strong>
  <em>
   :
  </em>
 </p>
 <ul>
  <li>
   Assist in designing, building, and maintaining scalable ETL/ELT data pipelines.
  </li>
  <li>
   Develop and optimize batch and streaming workflows using tools such as AWS Glue, Spark, and Airflow.
  </li>
  <li>
   Support data integration across multiple structured and unstructured data sources.
  </li>
  <li>
   Write clean, efficient, and maintainable code in Python, PySpark and SQL.
  </li>
  <li>
   Monitor, troubleshoot, and improve pipeline reliability and performance.
  </li>
  <li>
   Optimize database performance, particularly in PostgreSQL and cloud-based environments.
  </li>
  <li>
   Maintain and support AWS-based infrastructure (EC2, S3, Glue, etc.).
  </li>
  <li>
   Implement data validation, quality checks, and monitoring processes.
  </li>
  <li>
   Ensure compliance with data governance, security, and regulatory standards.
  </li>
  <li>
   Collaborate with data scientists and analysts to translate data requirements into scalable engineering solutions.
  </li>
  <li>
   Document data flows, architecture decisions, and technical processes.
  </li>
  <li>
   Use AI-assisted development tools to improve speed, testing coverage, and code quality.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Qualifications:
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience).
  </li>
  <li>
   2+ years of experience in data engineering, software engineering, or related technical roles (internships included).
  </li>
  <li>
   Proficiency in Python, PySpark and SQL required.
  </li>
  <li>
   Familiarity with ETL/ELT concepts and data pipeline architecture.
  </li>
  <li>
   Experience working with relational databases such as PostgreSQL.
  </li>
  <li>
   Basic understanding of cloud computing concepts, preferably AWS.
  </li>
  <li>
   Exposure to distributed data processing frameworks such as Spark.
  </li>
  <li>
   Experience working in Linux environments and basic shell scripting.
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Ability to work collaboratively in a team environment under mentorship.
  </li>
  <li>
   Strong written and verbal communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience working with medical claims data strongly preferred.
  </li>
  <li>
   Hands-on experience with AWS services such as EC2, S3, Glue, and IAM.
  </li>
  <li>
   Experience with workflow orchestration tools such as Apache Airflow.
  </li>
  <li>
   Exposure to data warehousing concepts and dimensional modeling.
  </li>
  <li>
   Familiarity with CI/CD pipelines and version control (e.g., Git).
  </li>
  <li>
   Understanding of data security, governance, and compliance best practices.
  </li>
  <li>
   Experience supporting machine learning pipelines or analytics platforms.
  </li>
  <li>
   Demonstrated use of AI tools (e.g., code assistants, automation platforms) to improve development efficiency.
  </li>
  <li>
   Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to careers@codoxo.com with the subject
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits for You
  </strong>
 </p>
 <ul>
  <li>
   Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Annual Professional Development stipend
  </li>
  <li>
   Annual home office stipend
  </li>
  <li>
   401K Match (after 90 days)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We are an Equal Opportunity Employer
  </strong>
  :
 </p>
 <p>
  Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.
 </p>
</div>


Data Engineer

Mod Op

<div><p><b>About Mod Op</b></p><p>
Mod Op is a full-service advertising agency able to offer clients a full suite of solutions. Mod Op can offer you access to low-cost, high-quality health care options and a team of enthusiastic, collaborative and motivated coworkers who see career development and personal development as intertwined.</p><p></p><p><br>
At Mod Op, we&rsquo;re more than just an agency&mdash;we&rsquo;re a team of forward-thinking professionals who are passionate about driving client success. We believe in fostering meaningful relationships, collaborating across disciplines, and delivering impactful solutions that help businesses grow. If you are a strategic thinker with a passion for building lasting client partnerships, we&rsquo;d love to hear from you. Join us and be part of a company that values innovation, creativity, and excellence in everything we do.</p><p></p><p><b><br>
About the role</b></p><p>
As a <b>Junior AI/ML Engineer (Data &amp; Cloud Platforms) with 1&ndash;2 years of experience</b>, you will support the development of scalable data systems and contribute to AI and machine learning initiatives. This role combines <b>data engineering, cloud technologies, and machine learning implementation</b> to help build intelligent data-driven solutions.</p><p>
You will work with <b>AWS, GCP, and Azure cloud services</b>, integrate with CRM and marketing platforms, and support analytics and AI solutions through tools such as <b>Google Looker and Tableau</b>. The role will involve working with both data pipelines and machine learning workflows to enable advanced analytics and automation.</p><p>
The position operates under a <b>hybrid work model</b>, requiring <b>in-office presence at the Atlanta, GA location two days per week</b>, with the remaining days worked remotely.</p><p></p><p><b><br>
What you'll do</b></p><p><b>
Data Pipeline Development:</b><br>
Assist in designing, developing, and maintaining scalable <b>ETL/ELT pipelines</b> across cloud platforms such as <b>GCP, AWS, and Azure</b>, using services like <b>Dataflow, Cloud Composer (Airflow), Azure Synapse, and AWS Data Pipelines</b>.</p><p><b>
Data Integration:</b><br>
Work with structured and unstructured data sources, including <b>CRM systems, marketing platforms, APIs, and internal business systems</b>, to support analytics and AI-driven applications.</p><p><b>
Database Management:</b><br>
Develop and optimize queries for <b>SQL and NoSQL databases</b> such as <b>Teradata,</b> <b>BigQuery, Cassandra, and cloud data warehouses</b>.</p><p><b>
Machine Learning Implementation:</b><br>
Support the development and deployment of machine learning models using <b>Python and data science libraries (Pandas, NumPy, Scikit-learn)</b> and cloud AI services such as <b>GCP Vertex AI, AWS SageMaker, or Azure ML</b>.</p><p><b>
AI-Enabled Data Workflows:</b><br>
Assist in building data pipelines that support <b>predictive analytics, automation, and AI-driven insights</b>.</p><p><b>
Data Visualization:</b><br>
Build and maintain dashboards using <b>Google Looker and Tableau</b> to help business and marketing teams understand and act on data insights.</p><p><b>
Collaboration:</b><br>
Work closely with <b>data engineers, analysts, data scientists, and marketing teams</b> to understand business requirements and support the development of data and AI solutions.</p><p></p><p><b><br>
Required Qualifications</b></p><p><b>
Cloud Platforms:</b><br>
Hands-on experience with <b>GCP, AWS, or Azure</b>, particularly in data engineering or machine learning environments.</p><p><b>
Programming Skills:</b><br>
Strong proficiency in <b>Python</b> with experience using data processing and machine learning libraries such as <b>Pandas, NumPy, and Scikit-learn</b>.</p><p><b>
Database Experience:</b><br>
Experience working with <b>SQL and NoSQL databases</b>, including platforms such as <b>BigQuery, Teradata, Cassandra, or similar technologies</b>.</p><p><b>
Data Visualization:</b><br>
Experience building dashboards and reports using <b>Google Looker or Tableau</b>.</p><p><b>
Machine Learning Knowledge:</b><br>
Basic understanding of <b>machine learning workflows, model training, evaluation, and deployment in cloud environments</b>.</p><p><b>
Data Automation &amp; Transformation:</b><br>
Experience with <b>Alteryx or similar tools</b> for workflow automation and data preparation.</p><p></p><p><b><br>
Preferred Qualifications</b></p><p>
Experience with <b>data warehousing platforms</b> such as <b>Snowflake or Redshift</b>.<br>
Exposure to <b>Apache Spark, Airflow, or other orchestration tools</b>.<br>
Familiarity with <b>MLOps</b> <b>practices and cloud-based ML platforms</b>.<br>
Understanding of <b>data governance, security, and compliance practices</b>.<br>
Relevant certifications such as <b>Google Cloud Professional Data Engineer or Machine Learning certifications</b>.</p><p></p><p><br>
Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</p></div>

Junior AI/ML Engineer (Data & Cloud Platforms)

Explore 178+ Senior database engineer in Atlanta this April. Find roles across top companies and apply now to boost your career.