Manufacturing Data Engineer

Kforce has a client that is seeking a Manufacturing Data Engineer in Foster City, CA.

Responsibilities:

• Build batch and streaming ingestion into Delta Lake using Auto Loader, Lakeflow Declarative Pipelines, Lakeflow Connect or Structured Streaming, including CDC feeds from AWS DMS and SAP SLT
• Design and maintain bronze, silver and gold (medallion) layers that follow MOPS naming conventions and data dictionary standards
• Build incremental dbt models on Databricks (dbt-databricks), using MERGE and upsert patterns, SCD Type 2, and handling for late or out-of-order records
• Model manufacturing data for analytics, such as a single source of truth per unit (SFC), work orders, nonconformances, station results and first-pass yield, and feed the semantic layer used by analysts
• Process large and semi-structured data, such as JSON test payloads, using PySpark and Databricks SQL
• Tune pipeline performance and cost through liquid clustering or partitioning, OPTIMIZE, VACUUM, file sizing and right-sized job compute
• Own data quality with dbt tests, Lakeflow expectations and Lakehouse Monitoring, including freshness SLAs and alerting
• Orchestrate workloads with Databricks Workflows or Airflow
• Migrate existing Redshift models and pipelines to Databricks: translate SQL, run in parallel, reconcile results and cut over
• Partner with analysts and manufacturing stakeholders on requirements, and document lineage, data contracts and table definitions in Unity Catalog
• Build and maintain CI/CD for MOPS jobs, pipelines and dbt models with Databricks Asset Bundles and GitHub Actions, across dev, staging and prod
• Manage MOPS-owned catalogs, schemas, volumes and grants in Unity Catalog, following the central platform team's governance model
• Configure job compute and SQL warehouses within central cluster policies; Manage MOPS service principals, secret scopes and OAuth machine-to-machine auth for Airflow and dbt
• Bachelor's degree in Computer Science, Information Systems, Engineering or a related field, or equivalent practical experience, plus 6+ years in data engineering
• Strong SQL and Python, including PySpark
• Hands-on production experience on Databricks: Delta Lake, Unity Catalog permissions, Workflows or jobs, and Spark performance tuning
• Production experience with dbt, including incremental models and tests
• Solid grasp of dimensional modeling, the medallion pattern, and CDC and incremental loading
• Experience deploying data code through Git-based workflows and CI/CD (e.g., GitHub Actions, Databricks Asset Bundles or similar)
• Working knowledge of AWS data services (S3, IAM, DMS or Kinesis) and infrastructure as code (e.g., Terraform)

Preferred Qualifications:

• Databricks Certified Data Engineer Associate or Professional; AWS certification (e.g., Solutions Architect Associate) a plus
• Experience preparing data for Databricks AI/BI dashboards, Genie, or ML and LLM use cases
• Background in manufacturing or industrial data, such as quality, yield, traceability or MES
• Understanding of data governance and compliance as they relate to data pipelines

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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