Data Engineer - Consultant (Remote)

This Senior Data Engineer 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. Reporting to the client's Manager of Data Engineering Development, you'll build and maintain data pipelines and warehousing solutions utilizing their modern cloud-based tech stack centered around Snowflake, dbt Cloud, and Azure.

• Duration: 6+ months contract
• Location: Remote, but must reside in California, Arizona, Washington, Oregon, Nevada. Working hours will be PST. Preference for California.
• Rate: $60/hr - $85/hr DOE

***Must be able to work in the United States without sponsorship***

• 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

• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 5+ years of experience in data engineering or related roles
• Strong proficiency in SQL and database technologies including Snowflake, Oracle, and SQL Server
• Hands-on experience with dbt Cloud for data transformation and pipeline development
• Demonstrated experience with Azure cloud technologies, particularly ADLS and Synapse
• Knowledge of Data Vault modeling principles and implementation techniques
• Experience with data governance and data quality tools, particularly Collibra
• Familiarity with data visualization platforms, especially Tableau
• Understanding of version control systems (Git, Bitbucket) and CI/CD practices
• Experience with scheduling systems like Tidal or Control-M
• Working knowledge of Agile methodologies and DevOps principles applied to data pipelines
• Preferred Skills:
  • Experience with data observability platforms and data quality monitoring
  • Knowledge of Python, R, KNIME, or Alteryx for data science applications
  • Experience with Refuel.ai and Striim technologies
  • Background in data migration from traditional databases (Oracle, SQL Server) to cloud platforms
  • Experience with enterprise scheduling tools like Tidal