Job description

Summary Position contingent on contract award - d etails 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 Teleworking Permitted? Yes Teleworking Details Remote - US Estimated Salary/Wage USD $95,000.00/Yr. Up to USD $105,000.00/Yr.

Requirements

Must-haves

Position contingent on contract award - d etails below are subject to change based on final award.
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.
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

Nice-to-haves

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Keywords to mirror

sqlpythonaiawspostgresagile

Platform: jibe
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Wellness