
Big Data Engineer
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in Virginia.
• AdvanSix is looking for a Big Data Engineer to develop and manage our enterprise Unified Data Layer (UDL).
• Design and implement batch/CDC/streaming pipelines, create curated/semantic layers, and enhance run-state through testing, CI/CD, security, and observability.
• Collaborate closely with the data team and the broader IT organization.
• Create and deliver scalable, secure data pipelines and data models that effectively link operational systems to analytics.
• Construct ingestion pipelines (batch, CDC, streaming) from sources including S/4HANA/DataSphere, PHD/historian, LIMS, TMS, HSE, and others.
• Enforce data contracts, manage schema/versioning, handle SCD, implement partitioning, and optimize performance.
• Create dimensional/semantic models that support certified Power BI datasets and APIs for applications/agents.
• Integrate OT data through OPC UA/MQTT and work with plant controls on change management, signal quality, and downtime scheduling.
• Incorporate data quality rules, unit/integration tests, and validation checks.
• Streamline build/test/deployment processes using Git-based CI/CD.
• At least 5 years of experience in data engineering, specifically in building production pipelines at scale (batch/CDC/streaming).
• Proficient with the Azure data stack: Databricks or Fabric/Synapse, ADF/Pipelines, ADLS/OneLake, Azure SQL/SQL MI, and Key Vault.
• Strong skills in SQL and Python/PySpark, with a good understanding of Spark Structured Streaming and performance optimization.
• Experience in implementing tests/observability (freshness, schema, expectations) and utilizing Git-based CI/CD.
• Familiar with SAP S/4HANA structures and the semantic modeling in SAP DataSphere.
• Knowledge of OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, and basics of ISA-95/99.
• Understanding of Power BI consumption (semantic models, RLS) and APIs for downstream AI/ML applications/agents.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development and continuous learning.
• Collaborative and inclusive work environment.
Agility Robotics
AGGRANDIZE
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