Senior Data Engineer - Snowflake Coding

We are currently looking for Senior Data Engineer, below is the job description for the position, please review and let me know if you would like to apply. For any reason if you are not available, please pass along the opportunity to you know people, colleagues or friends who are looking for job opportunities. Title: Senior Data Engineer Location: Pleasanton, California (hybrid work) Contract fulltime Role Overview As a Senior Data Engineer at CR, 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 Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Experience: 8+ years in Data Engineering, including 3+ years in Snowflake & dbt. Database Expertise: Deep hands-on experience with dbt (Core/Cloud) — macros, testing, documentation, and packages. Strong expertise in Postgres (schema design, optimization, stored procedures, large-scale workloads). 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. Nice-to-Have (Preferred Qualifications) Experience with finance/accounting datasets Prior experience in SaaS or high-growth technology environments. Familiarity with big data frameworks (Spark, Hadoop, Flink). Experience with open table formats (e.g., Apache Iceberg) and multi-cloud data storage. Skills & Technologies Languages: SQL, Python, Scala/Java/Rust Platforms: Postgres, Snowflake, dbt Orchestration: Airflow, Dagster, Prefect Data Practices: Data modeling, ETL/ELT pipelines, data architecture, observability Domains: Data engineering, analytics, infrastructure, product data systems Job Types: Full-time, Contract Pay: $80.00 - $90.00 per hour Expected hours: 40 per week Application Question(s): How many years experience you have with DBT Location: Pleasanton, CA (Required) Ability to Commute: Pleasanton, CA (Required) Work Location: In person