Big Data Engineer

Responsibilities Design and build enterprise‑scale data pipelines ingesting information from business systems, operational technology environments, and industrial data sources into a unified analytics platform. Develop and optimize data models, semantic layers, and curated datasets that support reporting, APIs, AI, and advanced analytics. Work closely with plant and controls teams to securely integrate OT data using industry‑standard architectures while ensuring production systems remain protected. Focus on maintaining high data quality, security, governance, monitoring, and reliability through testing, observability, lineage tracking, and access controls. Drive CI/CD automation, performance optimization, and cloud cost management to ensure scalable and efficient data platform operations. Requirements Minimum 5 years in data engineering building production pipelines at scale (batch/CDC/streaming). Hands‑on with Azure data stack: Databricks or Fabric/Synapse, ADF/Pipelines, ADLS/OneLake, Azure SQL/SQL MI, Key Vault. Experience implementing tests/observability (freshness, schema, expectations) and Git‑based CI/CD. Familiarity with SAP S/4HANA structures and SAP DataSphere semantic modeling. Understanding of Power BI consumption (semantic models, RLS) and APIs for downstream AI/ML apps/agents. Strong SQL and Python/PySpark; comfort with Spark Structured Streaming and performance tuning. OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, ISA‑95/99 basics. Preferred Qualifications Time‑series/data‑quality tooling (e.g., Great Expectations or equivalent patterns), feature/metric stores. MDM concepts (keys, survivorship), lineage/catalog tooling. TMS/WMS, LIMS, Historian, HSE domain exposure; Lean/Six Sigma mindset; FinOps awareness. Compensation 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 such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract, and business needs. This range may be modified in the future. Benefits We offer comprehensive benefits including medical, dental, and 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. Equal Opportunity Statement 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. #J-18808-Ljbffr