Data Engineer
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026.
Overview
Position contingent on contract award - details below are subject to change based on final award.
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for an Data Engineer. In this role, the Data Engineer, you’ll provide specialized Data Engineering support to build, optimize, and maintain cloud-based data pipelines, platforms, and data stores that enable analytics across large, diverse datasets. This role includes designing scalable ETL/ELT workflows, structuring data storage architectures, and ensuring reliable data ingestion from multiple structured and unstructured sources. You’ll support mission-driven analytics efforts by transforming raw data into analysis-ready formats, performing backend SQL/NoSQL testing, and validating data quality throughout the pipeline lifecycle. In this position, you will collaborate with analysts, product teams, and developers to understand evolving data requirements, define technical specifications, and implement end-to-end solutions supporting reporting, modeling, and visualization needs.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.
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.
Qualifications
- 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
Nice If You Have:
- 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
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection