Seneca Holdings
Seneca Holdings
Seneca Holdings — Сенека ұлтының инвестициялық бөлімі. Ол Ұлттың ұзақ мерзімді экономикалық өзін-өзі қамтамасыз етуін нығайтатын табысты кәсіпорындарды дамытып, басқарады. Компанияның әртараптандырылған портфеліне федералдық үкіметке келісімшарт негізінде қызмет көрсету, қоршаған ортаны қорғау шешімдері және денсаулық сақтау саласына қатысты қызметтер кіреді. Seneca Holdings Сенека қауымдастығы мен болашақ ұрпақтарды қолдайтын тұрақты мүмкіндіктерге басымдық береді.

Senior Data Engineer - Databricks and AWS (Remote)

Build scalable Databricks and AWS data pipelines for federal government contracting. Deliver analytics-ready data while meeting FISMA High and multi-tenant compliance standards.

Сипаттама

  • Build and maintain scalable data pipelines in an AWS-hosted Databricks E2 environment
  • Source data from relational databases, APIs, external providers, and real-time streams
  • Create pipelines that cleanse, transform, and aggregate data for analytics and reporting
  • Develop and manage Bronze, Silver, and Gold layers in a Databricks medallion architecture
  • Prepare source-to-target mappings and perform unit testing
  • Write advanced SQL aggregations and investigate data anomalies, quality problems, and inconsistencies
  • Implement real-time and near-real-time ingestion with AWS DMS and other AWS-native services
  • Develop processing solutions with Python or R, Spark, PySpark, and Pandas
  • Manage code, version control, and deployments through GitLab and CI/CD pipelines
  • Work with cross-functional teams in an Agile delivery environment
  • Maintain compliance with FISMA High and multi-tenant security, governance, and regulatory requirements
  • Use AI automation tools to support pipeline development, testing, validation, and delivery

Талаптар

  • Demonstrated hands-on experience as a Data Engineer or Databricks Developer building production data pipelines
  • Strong knowledge of Databricks on AWS, including E2 architecture, cluster configuration, job orchestration, and workspace administration
  • Practical experience using Apache Spark, PySpark, and Pandas for distributed data processing at scale
  • Strong Python programming ability; R experience is advantageous
  • Experience using Databricks Auto Loader for scalable incremental file ingestion
  • Hands-on experience with AWS Database Migration Service for change data capture and real-time replication
  • Strong command of Delta Lake and Delta tables, including schema evolution, time travel, OPTIMIZE, Z-ORDER, and VACUUM
  • Experience working with Amazon RDS and other relational sources in extraction and integration workflows
  • Advanced SQL expertise covering complex joins, window functions, aggregations, and query performance tuning
  • Understanding of medallion architecture and modern data lakehouse principles
  • Experience using GitLab and CI/CD pipelines for automated testing, builds, and deployment of data engineering code
  • Experience contributing to Agile or Scrum projects

Артықшылықтар

  • Competitive compensation
  • Medical, dental, vision, life, and disability coverage
  • Optional critical illness, hospital, and accident coverage
  • Health savings and flexible spending accounts
  • 401(k) retirement plan
  • Paid leave programs
  • Flexible work-life balance
  • Professional development opportunities
  • Performance and recognition programs
  • Collaborative workplace
  • Financial and non-financial benefits for Seneca Nation members

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