Sr. Data Engineer (GCP)

Job Description Insight Global is seeking a senior‑level, hands‑on data engineering professional to design, build, and operate data pipelines that extract data from Oracle Health (Cerner) systems and ingest it into Google Cloud Platform (GCP). This role is critical to ensuring the Commonwealth of Virginia maintains ownership, access, and governance of healthcare data for analytics and public health use. This is a highly technical individual‑contributor role. The selected candidate will serve as the primary technical owner of Oracle Health → GCP data ingestion. Key Responsibilities

•  Design and implement automated, recurring data pipelines from Oracle Health systems into GCP central repository
•  Build and optimize BigQuery-based data repositories
•  Develop GCP Cloud Functions and supporting Python code for ingestion and orchestration
•  Ensure data completeness, reliability, and cost efficiency
•  Operate as the primary technical owner of the ingestion pipelines The hourly pay rate for this role is $55-70/hr and based on experience.

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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Insight Global's Workforce Privacy Policy:

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

•  Senior-level experience in data engineering or data warehouse architecture
•  Deep hands-on experience with

Google Cloud Platform:

expertise in BigQuery & experience building GCP Cloud Functions

•  Advanced proficiency in Python for data engineering and automation.
•  Experience designing and operating large-scale data pipelines (recurring and automated data loads, incremental and full data extracts, error handling, logging, and monitoring)
•  Ability to work independently and own complex technical deliverables
•  Experience working with relational source systems (Oracle or similar), including complex schemas and large datasets.
•  Ability to operate as the primary technical owner of a data pipeline, from initial build through ongoing support.
•  Strong problem‑solving skills and comfort working in environments with vendor constraints and evolving requirements.
•  Experience with Oracle Health Patient Accounting
•  Exposure to Oracle Health Autonomous AI Agent