Data Engineer

Chenega Services & Federal Solutions, LLC is hiring a Data Engineer to build, optimize, and maintain cloud-based data pipelines, platforms, and data stores for analytics. The role designs ETL/ELT workflows, validates data quality, and collaborates with analysts, product teams, and developers to deliver data solutions for reporting, modeling, and visualization.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud‑based sources
• Build and optimize data storage solutions (data warehouses, data lakes, or lakehouses) that support large‑scale analytics, reporting, and business intelligence needs
• Perform backend SQL and NoSQL testing, including data validation, post‑deployment checks, and troubleshooting of ingestion or schema issues
• Collaborate cross‑functionally with analysts, engineers, and stakeholders to translate requirements into technical data models, workflows, and pipeline specifications
• Develop scripts and automation to convert diverse data types into usable formats, while scaling, monitoring, and operating cloud‑based data platforms

Requirements:

• 3+ years of experience in Data Warehouse development
• 3+ years of experience with data analysis of aggregated data from multiple sources in cloud-based environments
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL or ELT workflows for reporting and analytics using cloud-based technologies
• Experience with using Cloudera or Hadoop technologies to ingest, transform, and process data
• Experience leveraging generative AI coding tools to assist in development
• Ability to perform backend SQL and NoSQL database testing, including post-deployment and data validation testing
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree
• Experience creating solutions within a collaborative and cross-functional team environment
• Experience with AWS Glue, AWS Athena, and Postgres
• Experience with distributed data and computing tools such as Spark, Databricks, Hive, AWS EMR, or Kafka
• Experience working on real-time data and streaming applications
• Experience with NoSQL implementation using MongoDB or Cassandra
• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices