Data Engineer

Position: Data Engineer Duration: 12 month contract with extensions/conversion Location: Detroit, MI (Hybrid) PR: $56-62 REQUIRED SKILLS AND EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience • 5+ years of hands-on experience in data engineering development or implementation • Strong SQL skills for data analysis, validation, and troubleshooting • Hands-on experience with Databricks (Delta Lake, Unity Catalog, Spark) • Experience with AWS data services such as Glue, Redshift, S3, Lambda, or Step Functions • Familiarity with APIs and enterprise system integrations NICE TO HAVE SKILLS AND EXPERIENCE • Experience with Databricks MLflow or Feature Store supporting AI/ML pipelines • Familiarity with marketing data ecosystems, including CRM platforms, CDPs, or Martech/Adtech data flows • Exposure to data observability or governance tooling such as lineage tracking, cataloging, or pipeline monitoring • Experience working in a digital agency, marketing services, or consulting environment with multiple concurrent client data environments • Working knowledge of streaming data pipelines or event-driven architectures such as Kafka or Kinesis consulting environment with multiple concurrent client data environments • Working knowledge of streaming data pipelines or event-driven architectures such as Kafka or Kinesis JOB DESCRIPTION We’re looking for a Senior Data Engineer to build and maintain the data pipelines and integrations that power enterprise analytics and client-facing solutions for our automotive client. This is a craft-focused role where the quality of your work directly impacts analytics, AI products, and the insights clients rely on to make business decisions. The ideal candidate enjoys building reliable data infrastructure, understands how data moves across complex enterprise environments, and collaborates closely with architects, analysts, and data scientists to ensure data is clean, trustworthy, and scalable. This is a great fit for a senior-level Data Engineer who values strong fundamentals, cares deeply about data quality, and wants to work on high-impact client data environments. Compensation: $56/hr to $62/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.