IT Data Engineer

The IT Applications Data Engineer designs and optimizes high-performance data pipelines and data infrastructure to enable enterprise AI, machine learning, and advanced analytics.

• Build, test, and maintain highly scalable data pipelines for batch and real-time consumption using cloud-native services and distributed processing frameworks.
• Construct and manage systems in the modern data stack (including Databricks
  , Snowflake
  , or equivalent cloud warehouse/lakehouse solutions) to support accessibility and performance.
• Develop production-grade code in Python or Scala to cleanse, transform, and load complex, high-volume data into structured models defined by the Data Architect.
• Implement data quality controls, data lineage tooling, and pipeline monitoring to ensure integrity and rapid detection of failures.
• Optimize database performance, query efficiency, and cost management across secure cloud storage and processing services.
• Enable Data Science by providing efficient data access, supporting feature engineering workflows, and integrating model-ready data into MLOps
  .
• Help define and enforce Data Ops and Dev Sec Ops practices for automated data pipeline testing, deployment, and security.
• Maintain documentation for data flows, data dictionaries, and operational runbooks for production data infrastructure.
• Collaborate with application development teams and API developers to establish secure, efficient ingestion points from source systems.
• Work with Data Architects to model new sources so new data assets align with enterprise data standards and architectures.

• Bachelor’s degree in an engineering/science/information technology discipline and minimum 2 years of relevant experience.
• OR Master’s degree in an engineering/science/information technology discipline.
• OR applicants without a bachelor’s degree may be considered based on a combination of at least 10 years of completed education and/or relevant experience.
• Minimum 2 years of relevant experience, including at least 1 year focused on enterprise data pipelines and ELT/ETL processes.
• Expert proficiency in SQL and Python or Scala for data manipulation, transformation, and automation.
• Demonstrated experience with distributed processing frameworks (e.g.,
  Apache Spark
  , Databricks
  , Snowflake
  ) and cloud data services (e.g.,
  Azure Data Factory
  , AWS Glue
  ).
• Master’s degree (MS) plus minimum 3 years of relevant experience.
• Relevant certifications (examples:
  Databricks Certified Data Engineer
  , Snowflake Certification
  , Azure Data Engineer Associate
  ).
• Experience with streaming technologies for near real-time ingestion (e.g.,
  Kafka
  , Azure Event Hubs
  ).
• Experience with data modeling concepts (e.g.,
  Dimensional Modeling
  , Data Vault
  ) as implemented in data warehousing solutions.

• Python, Scala, SQL
• Databricks, Snowflake
• Apache Spark
• Azure Data Factory, AWS Glue
• Kafka, Azure Event Hubs
• MLOps
• ELT, ETL
• Data Ops, Dev Sec Ops
• Dimensional Modeling, Data Vault

• Comprehensive health coverage
• Robust retirement planning
• Education reimbursement
• Opportunities for continuous learning

• Amarillo, TX (Onsite) - Pantex Plant

• Requires a Q clearance
  ; all qualified candidates will be considered regardless of current clearance status.
• Must be able to obtain and maintain a Department of Energy Q clearance
  .
• Position may require entry into Materials Access Areas (MAA) and participation in the Human Reliability Program (HRP).
• If HRP is required, candidate must complete a counterintelligence-scope polygraph per 10 CFR 709
  .
• Medical requirements may apply.
• Pantex is a drug-free workplace; pre-placement physical, drug screening, and background investigation required for candidates accepting an offer.
• U.S. citizenship is required for security clearance applicants.
• Employees are subject to random drug testing without advance notification.

Career level: Senior Associate to Specialist

Organization: Mission Systems )

Job specialty: System Development

DOE Order 426.2A requirements: Not Applicable