Data Engineer
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Role details
Tech stack
Job description
Join a forward-thinking team as a Data Engineer and play a pivotal role in building and enhancing a cutting-edge enterprise data platform utilizing Google Cloud Platform (GCP). You will design resilient, scalable technology solutions and own the development lifecycle, ensuring operational excellence and continuous improvement. This is a fully remote opportunity based out of Eagan, Minnesota, offering flexibility and the chance to work on high-impact projects in a collaborative environment.
Responsibilities
- Design and develop robust ELT data pipelines within GCP to streamline data ingestion and transformation.
- Build scalable solutions using Composer, Dataflow, BigQuery, SQL, and Python to power data movement and orchestration.
- Collaborate closely with architects, analysts, and senior engineers to define and implement scalable platform solutions.
- Ensure high standards of data quality, pipeline performance, and system resiliency.
- Lead and mentor team members by providing guidance, feedback, and technical direction.
- Proactively monitor solutions and contribute to technology roadmap planning.
- Drive continuous innovation and suggest improvements for platform optimization.
Requirements
2-4 years of hands-on engineering experience in Google Cloud Platform (GCP).
- Strong proficiency in Python and SQL.
- Demonstrated experience with Cloud Composer, BigQuery, Dataflow, and building ELT/data pipelines.
- Bachelor’s degree in Computer Science or related field, or equivalent combination of education and experience.
- High School Diploma or GED required.
Preferred Skills
- Prior experience in the healthcare or PBM industry.
- Advanced SQL development skills.
- Familiarity with data warehousing, data modeling, and dimensional design.
- Experience with regulatory compliance (HIPAA, PCI).
- Background in modern cloud-based data platforms and Agile/Product Delivery environments., Interested candidates authorized to work without sponsorship are encouraged to submit their resume and a brief cover letter highlighting relevant GCP and data engineering experience. Background check and drug screening are required., * 2-4 years of Hands-on GCP engineering experience * Healthcare or PBM industry experience * SQL * Python * Google Cloud Platform (GCP) * Cloud Composer * BigQuery * Dataflow * Data pipeline / ELT experience
Benefits & conditions
100% remote work with flexible scheduling, including potential support outside core hours.
- Opportunity to work on enterprise-scale projects and influence platform direction.
- Collaborative, innovative team environment promoting professional growth.
- Minimal travel requirements (up to 5%).
- Competitive contract terms with potential for long-term engagement.
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