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USM Jobs / Sr. Data Engineer
High Contract

JB060450 - Sr. Data Engineer Apply

  • Start Date:
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  • Skills Data Engineering, EL..
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Title: Senior Data Engineer
Location: Pleasanton, California (hybrid work)
Job type: Contract
Rate: $80/hr on C2C
 
Role Overview:
As a Senior/Lead Data Engineer, you will lead the design, development, and ownership of core data infrastructure—from pipelines to storage to data products. You’ll be a strategic partner across teams, ensuring that our data systems are robust, scalable, and optimized for performance. With executive visibility and deep cross-functional collaboration, the solutions you build will directly influence product strategy and operational excellence.
This is a unique opportunity to build from the ground up while working with cutting-edge technologies such as Postgres SQL, dbt, Snowflake, and modern orchestration frameworks.
 
Key Responsibilities:
·         Architect, design, and implement scalable ELT pipelines using Snowflake, dbt, and Postgres.
·         Optimize data models in both Snowflake (cloud DW) and Postgres (transactional/operational data).
·         Implement advanced Snowflake features (Snowpipe, Streams, Tasks, Dynamic Tables, RBAC, Security).
·         Design and maintain hybrid pipelines (Postgres → Snowflake) for seamless data integration.
·         Establish data quality and testing frameworks using dbt tests and metadata-driven validation.
·         Implement CI/CD workflows (Git, GitHub Actions, or similar) for dbt/Snowflake/Postgres projects.
·         Drive observability, monitoring, and performance tuning of pipelines (logs, lineage, metrics).
·         Provide technical leadership and mentorship to engineers and analysts.
·         Collaborate with Finance, Product, Marketing, and GTM teams to deliver trusted, business-critical data models.
·         Support financial data processes (consolidation, reconciliation, close automation).
·         Evaluate and experiment with emerging AI and data technologies, providing feedback to influence product direction.
 
Requirements:
·         Experience: 8+ years in Data Engineering, including 3+ years in Snowflake & dbt.
·         Database Expertise:
o   Deep hands-on experience with dbt (Core/Cloud) — macros, testing, documentation, and packages.
o   Strong expertise in Postgres (schema design, optimization, stored procedures, large-scale workloads).
o   Advanced knowledge of Snowflake (data modeling, performance tuning, governance).
·         Programming: Proficient in SQL and Python, including API integrations and automation.
·         Orchestration & ETL: Hands-on with Airflow, Dagster, Prefect (or similar), and ETL/ELT tools like Fivetran, Nifi.
·         Data Architecture: Strong understanding of data warehousing, dimensional modeling, medallion architecture, and system design principles.
·         Cloud: Experience with AWS (mandatory); GCP or Azure is a plus.
·         DevOps: Experience with Git/GitOps CI/CD pipelines for data workflows.
·         Leadership: Proven ability to mentor teams, collaborate cross-functionally, and deliver impact in fast-paced environments.
·         Communication: Excellent written and verbal communication skills.