Data Engineer - Consultant
ReleadyOakland, California, United States • San Diego, California, United States • Long Beach, California, United States • Sacramento, California, United States • California, United States
Posted May 19, 2026
140000 - 170000 USD
Full Time
About the Company
Releady is a women‑owned talent solutions firm that delivers end‑to‑end technology, data analytics, and digital marketing services, from cloud infrastructure and cybersecurity to creative development and QA. We partner with organizations to design custom, scalable solutions that drive innovation and measurable results, while our contract, contract‑to‑hire, and direct‑hire models provide flexibility for both clients and professionals. A core strength lies in our diverse, purpose‑driven culture that places people at the center of every engagement, fostering inclusive growth and impactful outcomes. Releady’s commitment to remote work and autonomy empowers employees to thrive personally and professionally while contributing to collective success.
Job Description
This Data Engineer Consultant position is with a healthcare insurance industry client where you'll join their Data Engineering development team. You'll be responsible for the design, development, testing, and deployment of enterprise data solutions using both on-premises and cloud technologies.
Requirements
- Design, develop, and implement data integration pipelines and data warehouse solutions using Snowflake, dbt Cloud, and Azure technologies (ADLS, Synapse)
- Build and optimize production-ready data workflows, ensuring high performance, reliability, and scalability
- Create and maintain data pipelines following Data Vault architectural principles for warehouse modeling
- Work with Collibra for data governance, quality assurance, and metadata management
- Leverage Refuel.ai for data mastering and Striim for data validation processes
- Assist in troubleshooting and resolving data pipeline issues by analyzing end-to-end workflows
- Collaborate with client stakeholders to translate requirements into effective data solutions
- Support data visualization and reporting needs through Tableau
- Implement CI/CD practices using Git repositories and modern DevOps tools
- Participate in an Agile/DevSecOps pod model alongside solution architects, data modelers, analysts, and business partners
