Data Engineer

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 at OneMagnify. 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:

$56hr to $62/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 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
• 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