{"id":1316487,"url":"https://alion.io/job/omc-data-engineer","title":"Data Engineer","company":{"id":720301,"name":"Omnicom","domain":"omc.com","url":"https://alion.io/company/omnicom","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":95000,"currency":"USD","period":"year","gross":null,"usd_annual":95000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"GCP","optional":true},{"name":"Jira","optional":true},{"name":"Linux","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T23:41:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Agency:\nHearts & ScienceJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AnalyticsJob Description:\nRole Overview\nThis role will be reporting to the Senior Director, Data Engineering and be part of Data Engineering Team who build, enhance and optimize ETL (Extract, Transform, Load) jobs, implement automated data warehouse solutions, conduct QA and manage day-to-day tasks. The candidate must have data warehouse, data pipeline design/development, SQL, AWS Cloud and Big Data Technologies experience. As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with our Analytics, Data Science, IT and Investment teams to build batch and real-time data solutions. This is a very hands-on position, requiring extensive experience developing workflows in Python, willingness to dive into legacy code repositories and maintain complex data transformation processes on AWS cloud. Good decision-making, time management, prioritization and escalation skills are traits needed to ensure continued success in this role.\nKey Responsibilities:\nContribute to the growth of the enterprise data warehouse (EDW) by working alongside stakeholders to produce accurate information within database objects used in reporting, strategic planning and decision making\nAssist the Senior Director in developing long-term strategies and capacity planning for meeting future data warehouse and data automation needs\nMeet with end-users and data SMEs to clarify requirements and business rules needed to design, develop and implement ETL/ELT processes\nCollaborate with peer Data Engineers to build upon and support our CI/CD pipelines hosted within our extensive GIT repository\nMentor our emerging Data Analysts, including providing feedback and suggestions for their planned workflows prior to deployment into production\nRespond, investigate and correct reported data inaccuracies within the EDW compared to source and business-expected results\nEstablish relationships with external and internal POCs to ensure seamless inbound and outbound Data Delivery expectations are met\nImplement and support backend maintenance processes that enforce ongoing data optimization and corporate retention policies while ensuring the historical data needs of the client are met\nDocument and maintain all the processes and procedures pertaining to ETL and data warehouse usage/development, contributing to the team knowledgebase when applicable\nQualifications\nEducation & Technical Experience Requirements\nBachelor’s in Computer Science or similar technical degree within a STEM field\n3+ years of hands-on experience in building data pipelines using traditional ETL tech stack, platform APIs and big data technologies\n3+ years of experience in programming languages including as Python and working within a Linux based environment\nExperience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, S3 and Redshift\nCan speak to concepts and designs/benefits to multiple audiences as well as interpret high level business requirements from conversation\nAble to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures\nWorking experience within the advertising/media industry with knowledge of basic media math\nExperience in Social Media Datasets such as Twitter, Facebook, Instagram is a plus\nExperience in Google Campaign Manager, Xandr, or Adobe Analytics datasets is a plus\nExperience with Google Cloud products is a plus\nExperience with Microsoft PowerAutomate is a plus\nExperience using Project Management tools such as Jira is a plus\nExperience creating data visualizations and using tools such as Tableau is a plus\n\nNew York: $50,000.00-$95,000.00Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.\nOmnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.\nLink to Recruitment Privacy Notice: https://www.omc.com/privacy-notice\nFor US Job Seekers:\nIt is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. 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