data engineer

senior data engineer

associate data scientist

data analyst

data center engineer, senior Jobs in Atlanta

data center engineer, senior

data pipeline engineer

Equifax

<div><p>Equifax is seeking a driven Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. If you are a data enthusiast with a knack for databases and a talent for extracting meaningful insights from complex data, we encourage you to apply.
</p><p>You will partner with internal stakeholders to design and deliver analytical solutions in an automated and mature fashion.
</p><p>Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
</p><p><b>This position is based out of our Atlanta, Georgia (OAC) office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.
</b></p><p><b>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
</b></p><p><b>This position is </b><b>not </b><b>open to third-party vendors or C2C.<br>
</b><br>
</p><p><b>What you will do
</b></p><ul><li><p>Integrate, consolidate, cleanse and structure data for use by our analysts.
</p></li><li><p>Analyze, understand and prepare complex and new data sources and incorporate them into project design.
</p></li><li><p>Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
</p></li><li><p>Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable.
</p></li><li><p>Perform design, creation, and interpretation of large and highly complex datasets.
</p></li><li><p>Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines.
</p></li><li><p>Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
</p></li><li><p>Develop and implement data quality checks and troubleshoot data anomalies.
</p></li><li><p>Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
</p></li></ul><p><b>What experience you will need
</b></p><ul><li><p>BS degree in a STEM major or equivalent discipline.
</p></li><li><p>5-7 years of experience in data related profession, with a minimum of 2 years as a data engineer.
</p></li><li><p>Extensive experience in SQL is a must, as well as strong knowledge of Python.
</p></li><li><p>Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
</p></li></ul><p><b>What could set you apart
</b></p><ul><li><p>A master's degree in a related field is a strong plus.
</p></li><li><p>Experience developing code using AI tools such as Gemini, Chat GPT, Claude, Co - Pilot, etc.
</p></li><li><p>Background in credit risk or finance.
</p></li><li><p>Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop).
</p></li><li><p>Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts (ie AirFlow), as well as basic knowledge of other cloud environments.
</p></li><li><p>Advanced Git or equivalent usage and CI/CD integration skills.
</p></li></ul><p>#LI-Hybrid
</p><p>#LI-KD1</p></div>

Data Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><h1 class="jobSectionHeader"><b>
Position Summary</b></h1><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
As a Data Engineer, you will:</p><ul><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul><p></p><p><b>
Preferred Qualifications
</b></p><ul><li>Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Understanding of software development methodologies including waterfall and agile</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$64,890.00 - $173,040.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

CINC

<p>At CINC, we power the elite of real estate. TruBase is our premier data analytics platform designed to turn massive streams of real estate market data into actionable insights for top-tier teams and real estate institutions. As a Data Engineer II, you will be the backbone of this platform&mdash;architecting the systems that ingest, transform, and serve high-velocity property data, lead interactions, and market trends at scale. You are building for users who demand sub-second latency and institutional-grade data integrity.</p><p><b>Essential Responsibilities</b></p><ul><li>Architect Distributed Systems: Design and scale fault-tolerant systems that balance consistency and availability.</li><li>Database Engineering: Evaluate and implement database technologies based on workload needs. You will own schema design, indexing strategies, and query optimization to ensure low-latency data access.</li><li>High-Throughput ETL/ELT: Build, monitor, and maintain &quot;correct-by-design&quot; pipelines. You&rsquo;ll ensure data integrity across the lifecycle of our high-volume data flows.</li><li>System Observability &amp; Profiling: Proactively identify bottlenecks by analyzing memory, CPU, and network usage. You will implement distributed tracing and profiling to keep the system lean.</li><li>Technical Leadership: Drive innovation through Proof-of-Concepts (PoCs), document architectural decisions, and provide technical mentorship to junior engineers.</li></ul><p><b>Technical Competencies &amp; Experience</b></p><p><b>Core Requirements</b></p><ul><li>Distributed Systems: Deep understanding of idempotence, consistency models, and consensus protocols.</li><li>Database Internals: Functional knowledge of storage engines (B+ Trees vs. LSM trees), storage formats (Columnar vs. Row), and tiering.</li><li>Performance Engineering: Proficiency in debugging and profiling tools (e.g., strace, py-spy, Flamegraphs) to optimize IO and CPU usage.</li><li>Data Streaming: Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or Kinesis.</li><li>Modern Tooling: Expertise in Python or TypeScript, plus experience with Kubernetes and CI/CD for data workflows.</li><li>Database Diversity: Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB).</li></ul><p><b>Preferred (Nice-to-Have)</b></p><ul><li>Experience with lower-level languages (e.g., Rust, Go, or C++).</li><li>Deep understanding of serialization codecs and compression (Protobuf, FlatBuffers).</li><li>Knowledge of AWS Cloud Architecture and Data Governance frameworks.</li></ul><p><b>How We Measure Success</b></p><ul><li>System Reliability: Maintaining high uptime and scalability metrics under peak loads.</li><li>Performance Gains: Measurable improvements in query latency and pipeline throughput.</li><li>Architectural Integrity: Delivery of clean, well-documented code and system designs.</li><li>Team Growth: Positive impact on the technical growth and velocity of the broader engineering team.</li></ul><p><b>Other Information:</b></p><p>Supervisory Responsibility: This position has no direct reports.</p><p>Reports to: Team Lead</p><p>Position Type/Expected Hours of Work</p><ul><li>This is a full-time position; days and hours of work are Monday through Friday, 40 hours a week.</li><li><i>(Hybrid, Atlanta Area &mdash; 2 Days/Week in Office)</i></li><li>Work Authorization:Applicants must be legally authorized to work in the United States for any employer. We are unable to provide visa sponsorship (e.g., H-1B, OPT extensions) at this time.</li></ul><p><i>This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.</i></p><p>Pay: $135,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>People with a criminal record are encouraged to apply</p><p>Application Question(s):</p><ul><li>Do you understand that this role requires 2 days per week in office at our office location in Atlanta, GA?</li></ul><p>Ability to Commute:</p><ul><li>Atlanta, GA 30339 (Required)</li></ul><p>Work Location: Hybrid remote in Atlanta, GA 30339</p>

Data Engineer - II

NiCE Actimize

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><p><b>
Overview</b></p>
<p><b>
We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
<p><b>Required Technical Background</b></p><br>
<p></p>
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><p></p><div><p><b><i><br>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Senior Software Engineer,CX – Platform Data

Cortland

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Cortland Asset Management , LLC has a full-time opening for Lead Data Engineer in Atlanta, GA 30326. Duties are to design the architecture of a data platform. Develop, customize and manage integration tools, databases, and analytical systems. Build data pipelines, test reliability and performance of the system. Responsible to manage data and meta-data and structure it appropriately in a database management system. Improve awareness and democratize data across organization by publishing data catalogs. Provide data access tools for advanced and business users to extract data, view data, and visualizations. Responsible for performance optimization at database layer and data ingestion frameworks. Build continuous integration and deployment models and automate release pipelines. Support deployment of machine learning models using the CI/CD pipelines. Work closely with infrastructure team to build a secure and reliable eco-system. Work with business teams to solve real business problems using data and provide needed insights. Bachelor&rsquo;s Degree or its foreign equivalent in Comp. Science, Engineering, Math, Stats., or related quantitative field. Plus 5 years&rsquo; experience in job offered or closely related technical position. Experience must include the following: 2 years with Azure Cloud Technologies (Data Factory, PowerShell, Data Lake and Data Lake Analytics); 5 years with Data Modeling and ETL tools, Business Intelligence platforms, API Integration, and Object-Oriented Programming (OOP) and utilizing modern technologies (Python, Git, Jenkins, Octopus Deploy, Tensorflow, Domo, ArcGIS, E/R Studio, RedGate DLM Automation and 1 year with Azure HDInsight + Spark, Azure Databricks, Azure Stream Analytics. Email resumes to: careers@cortland.com.
</div>


Lead Data Engineer - Atlanta, GA

Waystar

<div><div>ABOUT THIS POSITION</div><div></div>
Our client base is constantly growing and we&rsquo;re looking for great software engineers to make our team better. As a Software Engineer, you&rsquo;ll be a technical contributor for our Aware platform. You&rsquo;ll be challenged often and will find yourself working on all areas of the application domain across the full app delivery stack.<br>
<br>
Design and implement highly resilient, scalable, and performant solutions that solve complex healthcare problems using VueJS, NodeJS, Java, AWS and more.<br>
<br>
Participate in technical and product discussions with leaders across our engineering, product, and business teams.<br>
<br>
Self-reliance, without supervision, while showcasing best design/communication/solution practices in daily works.<br>
<br>
Ensure continuously improve our standard of engineering excellence<div></div><div>
WHAT YOU'LL DO</div><div><div><div>
Minimum Requirements:</div></div><div><ul><li><div>
BS in Computer Science or related area</div></li></ul></div><div><ul><li><div>
3+ years of software development experience.</div></li></ul></div><div><ul><li><div>
Strong foundation in computer science principles, including algorithms, data structures, and system design building scalable web applications and backend services</div></li></ul></div><div><ul><li><div>
Solid understanding of software engineering best practices, such as version control, testing, and continuous integration</div></li></ul></div><div><ul><li><div>
Java</div></li></ul></div><div><ul><li><div>
Spring</div></li></ul></div><div><ul><li><div>
NodeJS</div></li></ul></div><div><ul><li><div>
JavaScript/TypeScript</div></li></ul></div><div><ul><li><div>
At least one modern frontend framework (VueJS, React, or Angular)</div></li></ul></div><div><ul><li><div>
SQL and relational databases</div></li></ul></div><div><ul><li><div>
REST API</div></li></ul></div><div><ul><li><div>
Automated testing (JUnit, TestNG, Jest, Vitest, or similar)</div></li></ul></div><div><ul><li><div>
Familiarity with web technologies, APIs, and distributed systems</div></li></ul></div><div><ul><li><div>
Familiarity with Shift Left and test automation</div></li></ul></div><div><ul><li><div>
Effective communication skills and ability to work both independently and in a team</div></li></ul></div><div><ul><li><div>
Highly self-motivated with a strong sense of ownership; proactively identifies opportunities, takes initiative without being asked, and follows through with persistence.</div></li></ul></div></div><div></div><div>
WHAT YOU'LL NEED</div><ul><li><div><div><div>
Preferred Requirements:</div></div><div><ul><li><div>
Experience with generative AI, machine learning, and predictive algorithms</div></li></ul></div><div><ul><li><div>
Familiarity with statistics and healthcare domain</div></li></ul></div></div><div><div><ul><li><div>
Expertise with distributed event streaming platforms like Kafka</div></li></ul></div><div><ul><li><div>
Experience with data pipeline technologies</div></li></ul></div></div></li></ul><div></div><div><div>
ABOUT WAYSTAR</div><div></div><div>
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.</div><div>
Waystar&rsquo;s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic &amp; fun.</div><div></div><div>
Waystar products have won multiple Best in KLAS&reg; or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book&trade; surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit <div>waystar.com</div> or follow <div>@Waystar</div> on Twitter.</div></div><div></div><div>
WAYSTAR PERKS</div><ul><li>
Competitive total rewards (base salary + bonus, if applicable)</li><li>
Customizable benefits package (3 medical plans with Health Saving Account company match)</li><li>
We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays</li><li>
Paid parental leave (including maternity + paternity leave)</li><li>
Education assistance opportunities and free LinkedIn Learning access</li><li>
Free mental health and family planning programs, including adoption assistance and fertility support</li><li>
401(K) program with company match</li><li>
Pet insurance</li><li>
Employee resource groups</li></ul><div></div><div>
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</div><div>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div></div>

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