Job title: Data Engineer
Job type: Contract
Contract Length:12 months
Rate: $60-80 per hour
Role Location: United States
The Company:
A data-driven healthcare organization modernizing our analytics platform to power value-based care. Our team is transitioning from SQL Server to Snowflake as our cloud data warehouse and implementing dbt, Python, and OpenFlow to build reliable, automated data pipelines.
You’ll join a collaborative, high-skill data team that values maintainability, clarity, and thoughtful design - working alongside engineers who specialize in automation, SQL Server administration, and data architecture.
Role and Responsibilities:
We’re seeking an experienced Data Engineer (3+ years) with strong SQL, dbt, and Python skills to design, build, and maintain our data transformation and analytics pipelines in Snowflake.
The ideal candidate has hands-on experience with modern ELT tools, data modeling, and cloud-based platforms - and brings a mindset of automation, testing, and documentation to every project.
You’ll collaborate closely with our data architects and integration engineers to ensure data from OpenFlow pipelines is transformed into trusted, analytics-ready models for reporting and advanced analytics.
- Advanced SQL Development: Write and optimize complex SQL queries and dbt models for data transformation and analysis within Snowflake.
- DBT Model Development: Build, test, and maintain dbt models that convert raw data into actionable insights.
- ETL/ELT Pipeline Management: Design and manage efficient pipelines using dbt, OpenFlow, and Python to process and deliver data across systems.
- SQL Performance Tuning: Optimize query performance, clustering, and cost efficiency in Snowflake.
- Data Quality Assurance: Ensure that transformed data meets accuracy and consistency standards through dbt testing and validation frameworks.
- Collaboration: Work closely with data engineers, analysts, and architecture leads to translate data requirements into scalable transformations.
- Data Documentation: Maintain clear documentation for dbt models, data flows, and dependencies for ongoing visibility and reuse.
- Version Control: Manage dbt and Python projects in Git, following clean, modular, and testable development practices.
- Automation Support: Partner with automation engineers to enhance data ingestion and transformation workflows through OpenFlow.
Job Requirements:
- Proven experience as a dbt Developer or in a similar Data Engineer role.
- Expert-level SQL skills — capable of writing, tuning, and debugging complex queries across large datasets.
- Strong experience with Snowflake or comparable data warehouse technologies (BigQuery, Redshift, etc.).
- Proficiency in Python for scripting, automation, or data manipulation.
- Solid understanding of data warehousing concepts, modeling, and ELT workflows.
- Familiarity with Git or other version control systems.
- Experience working with cloud-based platforms such as AWS, GCP, or Azure.
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Our Commitment to Diversity, Equity, and Inclusion:
Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here