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data engineer - aws (snowflake)

data engineer ii

data engineer

Centene

<div><p>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.<br>
</p><b>Position Purpose:</b> Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.<ul><li>
Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)</li>
<li>Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics</li>
<li>Designs, develops, and maintains real-time processing applications and real-time data pipelines</li>
<li>Ensure quality of technical solutions as data moves across Centene&rsquo;s environments</li>
<li>Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions</li>
<li>Develops, constructs, tests, and maintains architectures using programming language and tools</li>
<li>Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated</li><li>
Performs other duties as assigned</li>
<li>Complies with all policies and standards</li></ul><p><b>
Education/Experience:</b> A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 &ndash; 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.<br>
<br>
<b>Technical Skills:</b></p><ul><li>
One or more of the following skills are desired.</li><li>
ETL</li><li>
SQL</li><li>
Snowflake</li></ul>
Pay Range: $63,600.00 - $114,600.00 per year<p>
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.</p><p>
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.</p><p><br>
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</p></div>

Data Engineer II

The Data Sherpas

<div><p><b>Who We Are:</b></p>
<p>
We are a dynamic team focused on building innovative and scalable data solutions on Amazon Web Services (AWS). Our AWS Data Engineer will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.The ideal candidate will bridge the gap between AWS infrastructure and Snowflake Data Cloud, ensuring a seamless flow of data for analytics.</p><p></p><p><b><br>
What We Are Looking For:</b></p>
<p>
We are seeking a highly skilled and experienced AWS Data Engineer who will be responsible for developing and managing data pipelines on AWS. The ideal candidate will bring strong expertise in AWS data services, big data processing, and data modeling to help us provide high-performance data solutions. Experience in optimizing Snowflake performance and managing Snowflake objects within an AWS environment is critical.</p><p></p><p><b><br>
Responsibilities:</b></p>
<p><i>
Data Pipeline Development and Management:</i></p>
<ul>
<li>Design and automate end-to-end data ingestion from APIs, databases, and third-party sources into AWS S3 using Glue, Kinesis, and Lambda.</li>
<li>Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.</li>
<li>Optimize data pipeline performance, scalability, and reliability.</li>
<li>Ensure data processing and ingestion workflows are monitored and meet performance SLAs.</li></ul><br>
<p></p>
<p><i>
Data Storage and Management:</i></p>
<ul>
<li>Design and implement data storage solutions using Amazon S3, Redshift, DynamoDB, and RDS.</li>
<li>Architect and manage the 'S3-to-Snowflake' bridge using Snowpipe and External Tables to ensure near real-time data availability.</li>
<li>Optimize data structures, partitioning, and indexing for performance and cost efficiency.</li>
<li>Ensure data security, integrity, and availability across different AWS storage solutions.</li>
<li>Manage data lifecycle policies and archiving processes.</li></ul><br>
<p></p>
<p><i>
Data Transformation and Processing:</i></p>
<ul>
<li>Develop data transformation processes using AWS Glue, EMR, and Athena.</li>
<li>Implement data quality checks, validation rules, and monitoring solutions.</li>
<li>Support real-time and batch data processing needs.</li>
<li>Develop and manage complex data transformations using dbt and Snowflake SQL, ensuring code modularity and version control.</li></ul><br>
<p></p>
<p><i>
Data Integration and Automation:</i></p>
<ul>
<li>Integrate data from multiple sources, including APIs, databases, and third-party applications.</li>
<li>Ensure data consistency across different environments and systems.</li></ul><br>
<p></p>
<p><i>
Collaboration and Stakeholder Engagement:</i></p>
<ul>
<li>Work closely with data scientists and analysts to understand data needs and business goals.</li>
<li>Provide technical guidance and best practices to the data engineering and business teams.</li>
<li>Collaborate with security and compliance teams to ensure data governance standards are met.</li></ul><br>
<p></p>
<p><i>
Performance Monitoring and Troubleshooting:</i></p>
<ul>
<li>Monitor data pipeline performance and troubleshoot issues in real-time.</li>
<li>Analyze data pipeline failures and implement fixes to prevent recurrence.</li>
<li>Set up logging and monitoring using CloudWatch and X-Ray.</li></ul><br>
<p></p>
<p><b>
Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field; Master&rsquo;s degree is a plus.</li>
<li>5+ years of experience in data engineering, with a focus on AWS and modern cloud data warehouses (Snowflake experience required).</li>
<li>AWS Certified Data Analytics &ndash; Specialty or AWS Certified Big Data &ndash; Specialty certification is required.</li>
<li>Strong proficiency with AWS services such as S3, Redshift, Glue, Athena, Kinesis, Lambda, and Step Functions.</li>
<li>Hands-on experience with big data tools and frameworks such as Apache Spark, Hadoop, and Flink.</li>
<li>Proficiency in dbt (Core or Cloud) for managing transformation workflows, with a strong understanding of dbt testing and documentation frameworks.</li>
<li>Proficiency in programming languages such as Python, Java, or Scala.</li>
<li>Strong knowledge of SQL, data modeling, and query optimization.</li>
<li>Experience with CI/CD tools and version control (e.g., Git, CodePipeline).</li>
<li>Strong understanding of data governance, security, and compliance requirements.</li>
<li>Ability to manage large-scale data processing and real-time data pipelines.</li>
<li>Excellent problem-solving, analytical, and communication skills.</li></ul><br>
<p></p>
<p><b>
Preferred Skills:</b></p>
<ul>
<li>Experience with data lake architecture and implementation on AWS.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.</li>
<li>Experience with NoSQL databases (e.g., DynamoDB) and key-value stores.</li>
<li>Knowledge of containerization and orchestration using ECS and EKS.</li>
<li>Snowflake Core Certification (Pro) is a significant plus.</li>
<li>Experience with dbt-package management and integrating dbt with AWS-based orchestration tools like Airflow or Step Functions.</li></ul><br>
<p></p>
<p><b>
What We Offer:</b></p>
<ul>
<li>Competitive salary and performance-based incentives.</li>
<li>Comprehensive health, dental, and vision coverage.</li>
<li>401(k) with company matching.</li>
<li>Professional development and training opportunities (including AWS certification).</li>
<li>Flexible work environment and remote work options.</li></ul><br>
<p></p>
<p>
Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services!</p><p></p><p><br>
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.</p><p></p><p><i><br>
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</i></p></div>

Data Engineer - AWS (Snowflake)

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p><br>
<p></p>
<p>Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE?<i>?</i> Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p>We are looking for an experienced Databricks Data Engineer with strong DevOps expertise to join our data engineering team. The ideal candidate will design, build, and optimize large-scale pipelines on the Databricks Lakehouse Platform on AWS, while driving automated CI/CD and deployment practices. This role requires strong skills in PySpark, SQL, AWS cloud services, and modern DevOps tooling. You will collaborate closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions.</p><br>
<p></p>
<ul><li><b>Role: Databricks Data Engineer (DevOps)</b></li>
<li><b>Location: Los Angeles CA</b></li>
<li><b>Experience: 8+ Years</b></li>
<li><b>Job Type: Fulltime /Contract</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<ul><li>Designing and implementing Databricks-based Lakehouse architectures on AWS</li>
<li>Clear separation of compute vs. serving layers</li>
<li>Ability to design low-latency data/API access strategies (beyond Spark-only patterns)</li>
<li>Strong understanding of caching strategies for performance and cost optimization</li>
<li>Data partitioning, storage optimization, and file layout strategy</li>
<li>Ability to handle multi-terabyte structured or time-series datasets</li>
<li>Skill in requirement probing, identifying what matters architecturally</li>
<li>A player-coach mindset: hands-on engineering + technical leadership</li>
<li>Strong hands-on experience with Databricks, including:</li>
<li>Delta Lake ,Unity Catalog ,Lakehouse Architecture ,Delta Live Pipelines ,Databricks Runtime ,Table Triggers ,Databricks Workflows</li>
<li>Proficiency in PySpark, Spark, and advanced SQL.</li>
<li>Expertise with AWS cloud services, including:S3 ,IAM Glue / Glue Catalog ,Lambda Kinesis (optional but beneficial)Secrets Manager</li>
<li>Strong understanding of DevOps tools:Git / GitLabCI/CD pipelines</li>
<li>Databricks Asset Bundles</li>
<li>Familiarity with Terraform is a plus.</li>
<li>Experience with relational databases and data warehouse concepts.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using Databricks on AWS.</li>
<li>Develop high-performance data processing workflows using PySpark/Spark and SQL.</li>
<li>Integrate data from Amazon S3, relational databases, and semi/non?structured sources.</li>
<li>Implement Delta Lake best practices including schema evolution, ACID, OPTIMIZE, ZORDER, partitioning, and file-size tuning.</li>
<li>Ensure architectures support high-volume, multi-terabyte workloads</li>
<li><b>DevOps &amp; CI/CD</b></li>
<li>Implement CI/CD pipelines for Databricks using Git, GitLab, GitHub Actions, or AWS-native tools.</li>
<li>Build and manage automated deployments using Databricks Asset Bundles.</li>
<li>Manage version control for notebooks, workflows, libraries, and environment configuration.</li>
<li>Automate cluster policies, job creation, environment provisioning, and configuration management.</li>
<li>Support infrastructure-as-code via Terraform (preferred) or CloudFormation.</li>
<li><b>Collaboration &amp; Business Support</b></li>
<li>Work with data analysts and BI teams to prepare curated datasets for reporting and analytics.</li>
<li>Collaborate closely with product owners, engineering teams, and business partners to translate requirements into scalable implementations.</li>
<li>Document data flows, technical architecture, and DevOps/deployment workflows.</li>
</ul>
<p><b>Expertise You'll Bring:</b></p>
<ul><li><b>Performance &amp; Optimization</b></li>
<li>Tune Spark clusters, workflows, and queries for cost efficiency and compute performance.</li>
<li>Monitor pipelines, troubleshoot failures, and maintain high reliability.</li>
<li>Implement logging, monitoring, and observability across workflows and jobs.</li>
<li>Apply caching strategies and workload optimization techniques to support low-latency consumption patterns.</li>
<li><b>Governance &amp; Security</b></li>
<li>Implement and maintain data governance using Unity Catalog.</li>
<li>Enforce access controls, security policies, and data compliance requirements.</li>
<li>Ensure lineage, quality checks, and auditability across data flows.</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let's unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&quot;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&quot;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Los Angeles, CA, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Databricks,DevOps</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>8 to 16 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>168721</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Databricks Data Engineer (DevOps)

Zenlayer

<div><p>Zenlayer Inc. is looking for Internet Data Center (IDC) Engineers/Technicians to station at its data center located in Downtown Los Angeles.<i> </i>The job requires physical strength and shift flexibility to accommodate full IDC service coverage.</p><br>
<p></p>
<p><b>
Duties &amp; Responsibilities:</b></p>
<ul>
<li>Strong working knowledge with servers and network hardware/components, copper and fiber infrastructure installations and testing, data center product support applications, software (Windows, Linux, SSH, RDP, Putty, etc.) configurations and data center infrastructure management (DCIM) related tools.</li>
<li>Complete cabling and installation in server, router, switch according to work orders as well as MACs (Moves/Adds/Changes) orders in designated data centers, including devices receiving, labeling, racking, powering and network connection, configuration, troubleshooting and break-fixing.</li>
<li>Maintain a safe and secure operation environment by reporting any violations to the direct supervisor, adhere to security and safety of data protection protocols, error logging practices and support operating procedures.</li>
<li>Maintain asset management and compliance with audit, daily log tracking, fulfilling documentation, retention practices and inventory checking.</li>
<li>Provide smart-hands assistance at various sites within specified SLA (Service Level Agreement) response time.</li>
<li>Provide status reporting regarding data center service availability, performance, and capacity utilization.</li>
<li>Coordinate equipment/material receiving, shipping and RMA processing support when required.</li>
<li>Provide general cleaning on raised floor, cabinet/rack exterior surfaces, work benches and other areas as needed on a regular basis.</li>
<li>On-call duties as needed. Traveling for on-site service support or deployment when needed.</li></ul><br>
<p></p>
<p><b>
Required Qualifications:</b></p>
<ul>
<li>Must be action oriented &ndash; understand task priority and the urgency of meeting deadlines. Well-known who, when, how to troubleshoot networking systems onsite and hands-on hardware updates. Not only do you have a team player mentality, but you are ready to infuse passion into your work in internet networking.</li>
</ul><ul><li><b>Fluent in Mandarin Chinese (listen, speak, read, and write)</b></li>
<li>Knowledge of networking, servers and OS. Understand TCP/IP.</li>
<li>Ability to use IDC hand tools.</li>
<li>Ability to lift heavy loads up to 50 lbs. Must be able to work at heights from a ladder and in noisy or confined space.</li>
<li>Ability to travel 20%+ of time when required.</li>
<li>Must be self-motivated, detail oriented, positive in approach, professional and help create, develop and implement project process improvements.</li>
<li>Excellent communication skills.</li>
<li>Ability to rotate shifts including holidays, off hours (i.e., graveyard shift), weekend and vacation.</li></ul><br>
<p></p>
<p><b>
Preferred Qualification:</b></p>
<ul>
<li>Bachelor&rsquo;s or higher degree preferred.</li>
<li>More than 1 year of above IDC experience.</li>
<li>Previous managerial position in this category.</li>
</ul><ul><li>Any above-describe IDC qualifications, certifications or rewards.</li></ul><br>
<p></p>
<p><b>
About Zenlayer:</b></p>
<p>
Zenlayer (www.zenlayer.com) is a global edge cloud services company headquartered in Los Angeles, with branches and affiliates in Shanghai, Singapore and multiple international locations. Businesses utilize Zenlayer&rsquo;s platform to deploy applications closer to the users and improve their digital and AI experience. Zenlayer offers edge computer networking and application services up to 300 locations globally.</p><p></p><p><b><br>
Additional Information:</b></p>
<ul>
<li>Schedule: Full-time</li>
<li>Job Type: Regular</li>
<li>Work Location: Downtown Los Angeles, CA</li>
<li>Benefit Eligibility: Yes</li>
<li>Salary: Compensation package will be commensurate with experience.</li>
<li>Zenlayer offers a competitive compensation package, including health, dental and vision insurance, paid holidays, vacation, personal and sick days, 401(k) plan, wellness benefits, etc.</li>
<li><b>Candidates with US work eligibility will be prioritized as we will not be able to consider candidates who require via sponsorship at this time.</b></li></ul></div><p></p>

Data Center Engineer (Mandarin Bilingual)

Fox Corporation

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Senior Software Engineer, you will play a pivotal role in building next-generation AI-driven applications, services, and tools that transform how ad sales operates. You will leverage your experience in AI/ML and data systems to develop intelligent workflows that unlock new revenue opportunities and optimize business outcomes.</div><div></div><div>
You will work across a modern, distributed ecosystem&mdash;designing orchestration layers that connect system-of-record data with AI/ML models, microservices, and custom applications. This includes building agent-driven workflows, retrieval systems, and scalable services that power decisioning, automation, and insight generation across the ad sales lifecycle.</div><div></div><div>
Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be critical as we build a flexible, extensible platform that enables rapid innovation and measurable business impact.</div><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Innovative Environment: Build AI-powered systems that directly impact revenue and business performance.</div></li><li><div>
Collaborative Culture: Partner with product, data, and business teams to shape next-gen workflows.</div></li><li><div>
Career Growth: Work on high-visibility initiatives with strong ownership and advancement opportunities.</div></li><li><div>
Impactful Work: Help redefine how data and AI drive decision-making in a core business function.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
Balanced Skill Set: Able to navigate complex systems and trade-offs across engineering, data, and business contexts.</div></li><li><div>
Strong Communicator: Clearly articulate technical concepts and influence cross-functional stakeholders.</div></li><li><div>
Business-Oriented: Passionate about translating business problems into scalable technical solutions.</div></li><li><div>
Curious Builder: Energized by emerging AI capabilities and applying them to real-world workflows.</div></li></ul><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Design and implement scalable AI/ML-driven applications that support core ad sales workflows.</div></li><li><div>
Build intelligent orchestration layers that integrate data systems, models, and services.</div></li><li><div>
Develop agent-based and retrieval-driven systems to power automation and decision support.</div></li><li><div>
Prototype new approaches and productionize solutions that drive measurable business impact.</div></li><li><div>
Collaborate closely with product, data, and business stakeholders to define and deliver solutions.</div></li><li><div>
Maintain high engineering standards while operating in a fast-paced, iterative environment.</div></li><li><div>
Mentor and support other engineers on the team.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Experience in Software Engineering, Data Science, or ML Engineering.</div></li><li><div>
Strong understanding of distributed systems and scalable architecture.</div></li><li><div>
Experience building data-driven applications leveraging AI/ML models.</div></li><li><div>
Familiarity with modern AI techniques, including LLMs and retrieval-based systems.</div></li><li><div>
Experience designing APIs (REST or GraphQL) and microservices.</div></li><li><div>
Proficiency in building batch and streaming data pipelines on cloud platforms.</div></li><li><div>
Experience working in cloud environments such as AWS, GCP, or Databricks.</div></li><li><div>
Ability to work efficiently and deliver in a fast-paced, product-driven environment.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration frameworks or workflow engines.</div></li><li><div>
Background in ad tech, sales systems, or revenue optimization platforms.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Experience building internal platforms or decisioning systems for business teams.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div>
If you're excited about applying AI to transform business workflows and drive real revenue impact, we&rsquo;d love to hear from you.</div><div></div><div>
#Ll-Hybrid</div><div>
#Ll-KD1</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-186,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Senior Software Engineer, Data Products

<div><div><b>OVERVIEW OF THE COMPANY</b></div><div></div><h2 class="jobSectionHeader"><b>
JOB DESCRIPTION</b></h2><div>
As a Software Engineer, you will help build an intelligent execution layer that redefines how ad sales operates. This is not a traditional application role. You will develop systems that sit above core platforms, using AI, ML, and data to drive smarter decisions, automation, and measurable revenue lift.</div><div></div><div>
You will work on a greenfield problem space, designing how agents, models, and services interact to power workflows across planning, optimization, and activation. This includes building abstraction layers on top of system-of-record data and enabling flexible, AI-driven applications that evolve with the business.</div><div></div><div>
You will operate in a distributed, multi-cloud environment including AWS, GCP, and Databricks, contributing to systems that are both experimental and production-critical.</div><div></div><div><b>
A SNAPSHOT OF YOUR RESPONSIBILITIES</b></div><ul><li><div>
Build intelligent systems that connect data, models, and services into cohesive workflows.</div></li><li><div>
Develop orchestration layers that enable agent-driven automation and decisioning.</div></li><li><div>
Design APIs and services that expose data and intelligence in flexible, reusable ways.</div></li><li><div>
Rapidly prototype new ideas and translate them into production-grade systems.</div></li><li><div>
Work closely with product and business partners to identify high-leverage opportunities.</div></li><li><div>
Continuously improve system performance, scalability, and adaptability.</div></li></ul><div></div><div><b>
WHAT YOU WILL NEED</b></div><ul><li><div>
Strong foundation in software engineering and distributed system design.</div></li><li><div>
Experience building data-driven or ML-powered applications in production environments.</div></li><li><div>
Familiarity with modern AI systems, including LLMs and retrieval-based architectures.</div></li><li><div>
Experience designing APIs and working within service-oriented or microservices architectures.</div></li><li><div>
Comfort working with cloud infrastructure such as AWS, GCP, or Databricks and data pipelines.</div></li><li><div>
Ability to move between ambiguity and execution, building with both speed and intent.</div></li><li><div>
Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.</div></li></ul><div></div><div><b>
NICE TO HAVE, BUT NOT A DEALBREAKER</b></div><ul><li><div>
Experience with agent orchestration or workflow frameworks.</div></li><li><div>
Familiarity with vector databases and retrieval systems.</div></li><li><div>
Exposure to decisioning systems, optimization problems, or revenue-focused platforms.</div></li><li><div>
Proficiency in Python, Java, or similar languages.</div></li><li><div>
Experience with CI/CD and infrastructure-as-code.</div></li></ul><div></div><div><b>
ABOUT YOU</b></div><ul><li><div>
You think in systems, not just features.</div></li><li><div>
You are motivated by impact, not just implementation.</div></li><li><div>
You can navigate ambiguity and help define the right solution, not just build it.</div></li><li><div>
You communicate clearly and work effectively across engineering, product, and business.</div></li><li><div>
You are curious about how AI can fundamentally change how work gets done.</div></li></ul><div></div><div><b>
WHY JOIN US?</b></div><ul><li><div>
Own high-leverage problems with direct revenue impact.</div></li><li><div>
Build in a greenfield space with modern AI and ML tooling.</div></li><li><div>
Work on systems that will define how the business operates going forward.</div></li><li><div>
Collaborate with a team that values speed, clarity, and technical rigor.</div></li></ul><div></div><div>
If you want to build systems that do not just support the business but reshape it, we would love to talk.</div><div></div><div>
#Ll-KD1</div><div>
#Ll-Hybrid</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $92,000.00-140,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Software Engineer, Data Products

Divergent

<div>
 Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.
 <br/>
 <br/>
 Purpose
 <br/>
 <br/>
 The Manufacturing Engineer bridges design and production, optimizing designs for manufacturability while enhancing processes to support high-reliability hardware. This role guides new concepts through prototype, enables rapid iteration, troubleshoots complex manufacturing issues, and matures designs into production to uphold Divergent's standards for quality and reliability.
 <br/>
 <br/>
 The Role
 <br/>
 <br/>
 Program/Product Ownership
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 <ul>
  <li>
   End-to-end manufacturing ownership of multiple development and production products
  </li>
  <li>
   Technical lead for all manufacturing processes
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   <br/>
  </li>
 </ul>
 Manufacturing Process Development and Optimization:
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 <br/>
 <ul>
  <li>
   Develop, Implement, and refine scalable manufacturing processes aligned with Divergent's technology development.
  </li>
  <li>
   Drive improvements in yield, cycle times, and first-pass quality through data-driven continuous improvement initiatives.
  </li>
  <li>
   Identify and implement automation opportunities to streamline workflows, enhance data collection, and improve process repeatability.
  </li>
  <li>
   Stay current on emerging manufacturing technologies, integrating innovative solutions to advance Divergent's competitive position.
   <br/>
   <br/>
  </li>
 </ul>
 New Product Introduction and Rapid Iteration:
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 <br/>
 <ul>
  <li>
   Lead new concepts and product designs through the factory, ensuring efficient troubleshooting and rapid iteration to meet aggressive timelines.
  </li>
  <li>
   Implement Design for Manufacturability (DFM) strategies early in the design process, collaborating cross-functionally to optimize manufacturing outcomes.
  </li>
  <li>
   Introduce new equipment, tooling, and processes, conducting rigorous testing and validation to support high-reliability manufacturing.
   <br/>
   <br/>
  </li>
 </ul>
 Compliance and Quality Assurance:
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 <br/>
 <ul>
  <li>
   Develop and maintain comprehensive manufacturing documentation, including work instructions and process plans, ensuring compliance with quality standards like AS9100.
  </li>
  <li>
   Ensure all manufacturing processes adhere to industry regulations and internal quality management systems.
  </li>
  <li>
   Lead efforts to resolve hardware nonconformance issues promptly, implementing corrective actions to prevent recurrence.
  </li>
  <li>
   Act as a technical lead in troubleshooting and resolving manufacturing issues, supporting production and quality teams.
   <br/>
   <br/>
  </li>
 </ul>
 Leadership and Team Development:
 <br/>
 <br/>
 <ul>
  <li>
   Provide technical guidance to manufacturing staff, fostering a culture of excellence, collaboration, and continuous learning.
  </li>
  <li>
   Lead cross-functional product/program teams.
  </li>
  <li>
   Support the Director of Manufacturing Engineering in team growth initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to lawfully access information and technology that is subject to US export controls.
  </li>
  <li>
   Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field.
  </li>
  <li>
   Significant exposure to aerospace or defense industries.
  </li>
  <li>
   Proficiency in CAD software (e.g., Siemens NX, AutoCAD) and strong understanding of Geometric Dimensioning and Tolerancing (GD&amp;T).
  </li>
  <li>
   Experience with Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and Enterprise Resource Planning (ERP) systems.
  </li>
  <li>
   Hands-on experience with advanced manufacturing techniques, including additive manufacturing, robotics, or automation.
  </li>
  <li>
   Proven track record of leading complex projects from concept through production, focusing on high-performance materials and high-reliability applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a relevant engineering discipline.
  </li>
  <li>
   Lean Six Sigma certification or equivalent expertise in continuous improvement methodologies.
  </li>
  <li>
   Familiarity with quality management systems like AS9100 or ISO 9001.
  </li>
  <li>
   Demonstrated ability to thrive in a high-tech, fast-paced startup environment with a passion for disrupting traditional manufacturing paradigms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E03 - E06 as evaluated through our interview process.
 <br/>
 <br/>
 <ul>
  <li>
   Engineer / E03: $91,800 - $126,200
  </li>
  <li>
   Engineer / E04: $106,000 - $145,750
  </li>
  <li>
   Senior / E05: $122,400 - $168,300
  </li>
  <li>
   Lead / E06: $141,400 - $194,400
   <br/>
   <br/>
  </li>
 </ul>
 Pay Range: $91,800 USD - $194,400 USD
 <br/>
 <br/>
 <strong>
  What We Offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
  </li>
  <li>
   Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
  </li>
  <li>
   Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
  </li>
  <li>
   Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
  </li>
  <li>
   Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Equal Employment Opportunity
   <br/>
   <br/>
  </em>
 </strong>
 <em>
  Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act.
  <br/>
  <br/>
 </em>
 <em>
  EEO Poster
  <br/>
  <br/>
 </em>
 <em>
  In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.
  <br/>
  <br/>
 </em>
 <strong>
  <em>
   E-Verify: Right to Work
   <br/>
   <br/>
  </em>
 </strong>
 <em>
  Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate&rsquo;s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.
  <br/>
  <br/>
 </em>
 <em>
  Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)
  <br/>
  <br/>
 </em>
 <strong>
  <em>
   Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)
   <br/>
   <br/>
  </em>
 </strong>
 <em>
  Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.
  <br/>
  <br/>
 </em>
 <strong>
  <em>
   No agencies, no solicitations, and no calls please.
  </em>
 </strong>
</div>


Manufacturing Engineer (All Levels)

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