Be an Early Applicant
Building a better future for this generation and the next.
The Role
Build and operate metadata-driven AWS and Snowflake data pipelines, ingestion frameworks, governed data models, and quality controls. Own features from source onboarding through production release, implement PII governance and observability, troubleshoot production incidents, modernize legacy code, and support BI and AI workloads. Mentor onshore and offshore engineers, review code, partner with product and architecture teams, and maintain documentation, runbooks, and delivery standards.
Summary Generated by Built In
Cox Automotive's Enterprise Platforms Data & Analytics organization owns the pipelines, Snowflake data layers, and governed data products that feed Finance, Sales, Marketing, Service, and the company's growing portfolio of AI initiatives. Data lands in Snowflake from dozens of enterprise sources through a metadata-driven AWS framework, is modeled into conformed and mart layers, and is exposed to BI tools, downstream applications, and AI agents under strict governance and PII controls.
This engineer is a hands-on technical leader on one of the Data & Analytics delivery pods. You will build and ship production pipelines and governed views, raise the quality bar through validation and peer review, help production support teams resolve complex data incidents, and mentor a mixed onshore and offshore team. The work sits at the point where data engineering meets AI: the datasets you deliver are the foundation for BI today and for AI-assisted analytics tomorrow, and you will use AI-assisted development responsibly to deliver them faster.
WHAT YOU'LL DO:
Main Responsibilities
WHO YOU ARE:
Required Skills
Preferred Experience
USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
This engineer is a hands-on technical leader on one of the Data & Analytics delivery pods. You will build and ship production pipelines and governed views, raise the quality bar through validation and peer review, help production support teams resolve complex data incidents, and mentor a mixed onshore and offshore team. The work sits at the point where data engineering meets AI: the datasets you deliver are the foundation for BI today and for AI-assisted analytics tomorrow, and you will use AI-assisted development responsibly to deliver them faster.
WHAT YOU'LL DO:
Main Responsibilities
- Design, build, and operate metadata-driven ingestion and egress pipelines that land data from enterprise applications, databases, and third-party APIs into Snowflake, using a shared, configuration-driven AWS framework (serverless compute, orchestration, change data capture, object storage, metadata registries, and infrastructure-as-code)
- Own end-to-end delivery of features from refined requirement to production: source onboarding, raw-to-hub modeling, SQL transformations, validation, and release through a controlled multi-environment CI/CD flow
- Build governed consumption layers in Snowflake: conformed and base views, business-specific models, marts, and role-based access, with PII masking and data-quality verification shipped alongside every view
- Extend and harden shared libraries and frameworks (SLA monitoring, asset registration, alerting, connection management, and code generation) so new sources onboard through configuration rather than custom code
- Define and enforce data-quality, reconciliation, and peer-validation standards, including row-count, orphan, duplicate, and freshness checks that gate every promotion to production
- Lead production readiness and support escalations alongside production support teams: diagnose stale or partially loaded tables, replication and ingestion failures, role and permission regressions, authentication changes, and month-end reporting issues
- Drive the migration of legacy code into domain-owned repositories with clear ownership, CI/CD, and catalog metadata
- Use AI-assisted development (coding assistants, spec-driven development, reusable skills) to raise throughput without lowering the review and testing bar, and help formalize guardrails for the team
- Partner with Product Owners, architects, and consuming business and AI teams to translate business questions into reliable, documented, governed datasets that serve both BI and AI workloads
- Mentor junior and offshore engineers, review pull requests against architecture and design standards, and contribute to shared standards for ingestion, modeling, governance, and cataloging
- Produce documentation, runbooks, and operational playbooks, and keep work items, features, and dependencies accurate for the Release Train
WHO YOU ARE:
Required Skills
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
- Must be located in Atlanta GA or be willing to relocate at own expense
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
- Must have a minimum of 4 years experience in Data Engineering, building production ETL/ELT pipelines, with strong Python and advanced SQL
- Snowflake depth: schema and view design, MERGE and history-table patterns, bulk loading and external stages, role-based access, masking policies, warehouse sizing, and query profiling
- REQUIRED: strong experience with AWS data services in production: serverless compute, object storage, workflow orchestration, database migration/CDC, NoSQL, query and catalog services, event scheduling, secrets management, and IAM
- Infrastructure-as-code and release automation: CloudFormation or Terraform, Git branching strategies, and CI/CD pipelines with automated deployment of database objects
- Ingesting from heterogeneous sources: relational databases and change data capture, ERP and CRM systems, SaaS APIs, and flat files
- Data modeling for analytics: dimensional and denormalized models, conformed layers, and the difference between raw, hub, and mart responsibilities
- Data quality and observability: validation frameworks, reconciliation, SLA and freshness monitoring, alerting, and root-cause analysis on late or partial loads
- Data security and governance: PII identification and masking, least-privilege access, and metadata and lineage practices
- Ability to work in an Agile Release Train with an Agile tracking tool, write clear user stories and acceptance criteria, and communicate status and risk to Product and Engineering leadership
- Experience mentoring engineers and reviewing code; comfortable leading work across onshore and offshore teams
Preferred Experience
- Hands-on experience with AI-assisted engineering tools and spec-driven development, including building reusable skills or agents for data tasks
- Familiarity with Snowflake AI features, dynamic tables, and Model Context Protocol (MCP) access patterns for exposing governed data to AI agents
- dbt, Apache Airflow or similar orchestration and integration platforms
- Experience with data catalog and governance tooling
- BI semantic-layer experience and an understanding of how data models feed self-service analytics
- Domain knowledge in automotive, finance, sales, marketing, or contact-center data
- AWS certifications (Solutions Architect, Data Engineer) or SnowPro certification
- Experience in large-scale platform migrations and legacy-code modernization
USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
Skills Required
- Currently authorized to work in the United States for any employer without current or future sponsorship; no OPT, CPT, STEM/OPT, or visa sponsorship
- Located in Atlanta, Georgia, or willing to relocate at personal expense
- Bachelor's degree in Computer Science, Information Systems, a related field, or equivalent practical experience
- Minimum of 4 years of data engineering experience building production ETL/ELT pipelines
- Strong Python and advanced SQL skills
- Deep Snowflake experience, including schema and view design, MERGE and history-table patterns, bulk loading, external stages, role-based access, masking policies, warehouse sizing, and query profiling
- Production experience with AWS data services, including serverless compute, object storage, workflow orchestration, database migration and change data capture, NoSQL, query and catalog services, event scheduling, secrets management, and IAM
- Infrastructure-as-code and release automation experience with CloudFormation or Terraform, Git branching strategies, and CI/CD pipelines
- Experience ingesting heterogeneous sources, including relational databases, change data capture, ERP and CRM systems, SaaS APIs, and flat files
- Experience with dimensional and denormalized data modeling, conformed layers, and raw, hub, and mart responsibilities
- Experience with data-quality and observability frameworks, reconciliation, SLA and freshness monitoring, alerting, and root-cause analysis
- Experience with PII identification and masking, least-privilege access, metadata, and data lineage practices
- Ability to work in an Agile Release Train, use an Agile tracking tool, write user stories and acceptance criteria, and communicate status and risk
- Experience mentoring engineers and reviewing code across onshore and offshore teams
- Hands-on experience with AI-assisted engineering tools and spec-driven development
- Familiarity with Snowflake AI features, dynamic tables, and Model Context Protocol access patterns
- Experience with dbt, Apache Airflow, or similar orchestration and integration platforms
- Experience with data catalog and governance tooling
- BI semantic-layer experience and knowledge of self-service analytics data models
- Domain knowledge in automotive, finance, sales, marketing, or contact-center data
- AWS Solutions Architect, AWS Data Engineer, or SnowPro certification
- Experience with large-scale platform migrations and legacy-code modernization
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
Cox Enterprises Compensation & Benefits Highlights
-
Healthcare Strength — Multiple medical plan options, preventive care, prescription coverage, telehealth, and dental/vision are highlighted alongside HSA/FSA support. Feedback suggests coverage quality and affordability are strengths for many.
-
Retirement Support — A 401(k) with a company match is repeatedly emphasized, and the employer match is often viewed as a notable advantage. Feedback suggests this is a potentially valuable long-term financial benefit.
-
Parental & Family Support — Paid parental leave, fertility coverage, adoption assistance, and subsidized backup childcare form a broad family-support offering. Feedback suggests these programs are a meaningful differentiator for caregivers.
Cox Enterprises Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!
Why Work With Us
Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.
Gallery
.png)
Cox Enterprises Teams
Product & Tech
About our Teams
Cox Enterprises Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
