Data Engineer

Chenega Professional Services Strategic Business Unit

Georgia

Remote

USD 95,000 - 105,000

Full time

40 hours ago

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Benefits offered by this job

Remote work (US)

Medical insurance

Dental insurance

Vision insurance

401k

Job summary

Chenega Services & Federal Solutions, LLC is hiring a Data Engineer to design and maintain scalable ETL/ELT pipelines across cloud-based sources. You will build data storage solutions and validate data quality for analytics and reporting, collaborating with analysts and product teams.

The role emphasizes backend SQL/NoSQL testing, data modeling, and automation. A Public Trust clearance is preferred, with remote-US telework options and a comprehensive benefits package.

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 for business analysis.
Experience with SQL and Python for data retrieval, parsing, and processing.
Experience developing scalable ETL/ELT workflows in cloud-based technologies.
Experience with Cloudera or Hadoop technologies for data ingestion and processing.
Experience leveraging generative AI coding tools to assist development.
Ability to perform backend SQL and NoSQL data testing including validation.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
Bachelor's degree.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for ingesting data from multiple cloud-based sources.
Build and optimize data storage solutions (data warehouses, data lakes, lakehouses) for analytics and BI.
Perform backend SQL and NoSQL testing, data validation, and troubleshooting post-deployment issues.
Collaborate with analysts, engineers, and stakeholders to translate requirements into data models and pipelines.
Develop scripts to convert diverse data types into usable formats while scaling cloud data platforms.

Skills

SQL

Python

ETL/ELT

Cloud data pipelines

Data validation

NoSQL testing

Public Trust

Generative AI coding tools

Education

Bachelor's degree

Tools

AWS Glue

AWS Athena

Postgres

Spark

Databricks

Hive

Kafka

MongoDB

Cassandra

AWS Redshift

Job description

Summary 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 a 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 analyticsusing 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.

Paid Time Off