{"id":4041440,"url":"https://alion.io/job/cox-sr-data-engineer","title":"Sr Data Engineer","company":{"id":2331569,"name":"Cox","domain":"grupocox.com","url":"https://alion.io/company/grupocox","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":101500,"max":169100,"currency":"USD","period":"year","gross":null,"usd_annual":169100},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Airflow","optional":true},{"name":"dbt","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T22:15:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Company\nCox Automotive - USAJob Family Group\nEngineering / Product DevelopmentJob Profile\nSr Data EngineerManagement Level\nIndividual ContributorFlexible Work Option\nHybrid - Ability to work remotely part of the weekTravel %\nYes, 5% of the timeWork Shift\nDayCompensation\nCompensation 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\nCox 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.\nThis 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.\nWHAT YOU'LL DO:\nMain Responsibilities\nDesign, 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)\nOwn 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\nBuild 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\nExtend 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\nDefine and enforce data-quality, reconciliation, and peer-validation standards, including row-count, orphan, duplicate, and freshness checks that gate every promotion to production\nLead 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\nDrive the migration of legacy code into domain-owned repositories with clear ownership, CI/CD, and catalog metadata\nUse 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\nPartner 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\nMentor junior and offshore engineers, review pull requests against architecture and design standards, and contribute to shared standards for ingestion, modeling, governance, and cataloging\nProduce documentation, runbooks, and operational playbooks, and keep work items, features, and dependencies accurate for the Release Train\nWHO YOU ARE:\nRequired Skills\nApplicants 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.\nMust be located in Atlanta GA or be willing to relocate at own expense\nBachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience\nMust have a minimum of 4 years experience in Data Engineering, building production ETL/ELT pipelines, with strong Python and advanced SQL\nSnowflake 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\nREQUIRED: 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\nInfrastructure-as-code and release automation: CloudFormation or Terraform, Git branching strategies, and CI/CD pipelines with automated deployment of database objects\nIngesting from heterogeneous sources: relational databases and change data capture, ERP and CRM systems, SaaS APIs, and flat files\nData modeling for analytics: dimensional and denormalized models, conformed layers, and the difference between raw, hub, and mart responsibilities\nData quality and observability: validation frameworks, reconciliation, SLA and freshness monitoring, alerting, and root-cause analysis on late or partial loads\nData security and governance: PII identification and masking, least-privilege access, and metadata and lineage practices\nAbility 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\nExperience mentoring engineers and reviewing code; comfortable leading work across onshore and offshore teams\nPreferred Experience\nHands-on experience with AI-assisted engineering tools and spec-driven development, including building reusable skills or agents for data tasks\nFamiliarity with Snowflake AI features, dynamic tables, and Model Context Protocol (MCP) access patterns for exposing governed data to AI agents\ndbt, Apache Airflow or similar orchestration and integration platforms\nExperience with data catalog and governance tooling\nBI semantic-layer experience and an understanding of how data models feed self-service analytics\nDomain knowledge in automotive, finance, sales, marketing, or contact-center data\nAWS certifications (Solutions Architect, Data Engineer) or SnowPro certification\nExperience in large-scale platform migrations and legacy-code modernization\nDrug Testing\nTo 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\nThe 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\nThrough 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 employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. 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