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Senior Data Engineer

Insight Global

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At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Contract
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Relevant Cloud, Data Engineering, Or Databricks Certification

Job overview

Insight Global is seeking a Senior Data Engineer for a long-term contract supporting a healthcare client’s Pharmacy Benefit Management business. The role designs, develops, tests, debugs, and supports data pipelines and reliable data products across Azure and GCP. The team uses Databricks, Python, PySpark, and Spark SQL, and prefers experience with Generative AI, agentic development, and RAG. The position is fully remote, with possible annual extensions and full-time conversion.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringPythonPySparkSQLSpark SQLAzure Data ServicesDatabricksGCPMicroservices ArchitectureREST APIsContainerizationKubernetesKafkaEvent-Driven ArchitectureDistributed SystemsData AnalyticsHealthcarePharmacy Benefit ManagementGenerative AIAgentic DevelopmentRAG ArchitecturesCloud Data Engineering

Qualifications

10+ Years Data Engineering Experience8+ Years Azure and Databricks Experience5+ Years GCP ExperienceRelevant Cloud, Data Engineering, or Databricks Certification

Full job description

Job Description

Insight Global is seeking a Senior Data Engineer for a long-term contract opportunity supporting a large healthcare client's Pharmacy Benefit Management (PBM) business within its Analytics & Behavioral Change organization. This team sits at the intersection of technology, finance, and business strategy, using data and analytics to drive automation and business insights.

This individual will contribute to the Connected PBM Ecosystem, a strategic portfolio initiative focused on onboarding the next generation of clients into the ecosystem, modernizing legacy and manual processes, and accelerating automation and access to business insights.

This is a hands-on engineering role responsible for understanding requirements, designing and developing new data pipelines, enhancing existing solutions, testing, debugging, and supporting reliable data products at scale. The environment spans Azure and GCP, with significant use of Databricks, Python, PySpark, Spark SQL, and related data engineering frameworks.

The team also leverages Claude Code for AI-assisted development. Knowledge of Generative AI, agentic development, RAG, and broader AI concepts is preferred, as upcoming initiatives are expected to incorporate GenAI capabilities and provide opportunities to drive additional automation and efficiency.

This is a fully remote role with the potential for ongoing annual extensions and full-time conversion. When feasible, the client prefers to conduct technical interviews onsite in Chicago, NYC, or Irving, TX. Candidates who cannot interview onsite will be required to complete ID verification and provide verifiable managerial references as part of Insight Global's prescreening process.

Skills and Requirements

  • 10+ years of Data Engineering experience, with a strong track record of designing, building, and supporting large-scale, reliable data solutions
  • Advanced hands-on experience with Python, PySpark, and SQL/Spark SQL
  • 8+ years of experience with Azure data services and Databricks
  • 5+ years of hands-on experience with GCP
  • Strong experience designing and building microservices-based architectures, such as REST APIs, containerization, Kubernetes, Kafka, event-driven architectures, and or scalable distributed systems
  • Strong data analytics mindset with the ability to translate business requirements into scalable technical solutions
  • Healthcare industry experience
  • Pharmacy Benefit Manager (PBM) / Pharmacy Benefit Management domain experience
  • Experience with Generative AI, agentic development, and RAG architectures
  • Ability to interview in person in Chicago, NYC, or Irving, TX
  • Relevant cloud, data engineering, or Databricks certifications

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [email protected].

How this job compares

Set against the 5,785 open Data Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • Texas median$115–206K/yr282 salary ranges
  • Texas median$65–75/hr22 hourly ranges
Openings
Olive Jobs lists 438 open Data Engineer jobs in Texas and 5,785 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 10 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,025 postings).
Education
2,227 of the 5,785 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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