Senior Data Engineer (IICS & Redshift) (Independent Contractor)

This is a short-term, project-based engagement best suited to an experienced 1099 independent contractor who's comfortable moving fast in an ambiguous, fast-paced environment.
You'll be working within the client's data integration and warehousing stack, helping build and maintain pipelines that move and shape data for downstream reporting. You'll work closely with client-side stakeholders as well as the CompassX team, so clear communication and the ability to translate technical work into business context matters as much as the engineering itself. You'll collaborate closely with a small group of engineers and analysts, so the ability to work autonomously while staying tightly aligned with the team is essential.

What You'll Do
Design, build, and maintain ETL/ELT pipelines using IICS to integrate data from source systems into the warehouseDevelop and optimize data models and structures within Amazon RedshiftWrite production-quality SQL and Python to transform, validate, and automate data workflowsBuild and support Power BI data models that feed reporting and dashboards for business stakeholdersImplement data quality checks and validation logic to ensure accuracy and traceability across pipelinesDocument data flows, models, and pipeline logic to support handoff and long-term maintainabilityWork closely with client-side stakeholders as well as the CompassX team, translating technical work into business contextCollaborate with a small group of engineers and analysts, working autonomously while staying tightly aligned with the team
What You'll Bring
Hands-on experience with IICS (Informatica Intelligent Cloud Services) for data integrationExperience working with Amazon Redshift as a data warehouse platformStrong SQL skills and solid grounding in ETL/ELT pipeline designProficiency in Python for data engineering workflowsExperience building Power BI data models, ideally including a strong grasp of data modeling best practices for reporting layersComfort working with cloud-based data infrastructure (AWS preferred, given the Redshift environment)An eye for data quality and validation — this is a pharma environment, so accuracy and traceability matterStrong communication skills, with experience collaborating directly with client stakeholdersBonus: familiarity with Veeva, particularly in a pharma or life sciences context