Sr Data Engineer

Company

Cox Automotive - USA

Job Family Group

Engineering / Product Development

Job Profile

Sr Data Engineer

Management Level

Individual Contributor

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

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.

Job Description

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

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

Drug Testing

To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited.

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.

About Us

Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells – or simply uses – cars. Cox Automotive em