Data Engineer, Junior

Chenega Corporation; Georgia; Hybrid; USD 55,000 - 60,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Prescription

Employee Assistance Program

Disability Insurance

Life Insurance

Job summary

Chenega Services & FederalSolutions, LLC, a Chenega Professional Services’ company, seeks a Data Engineer to build and maintain cloud-based data pipelines, data stores, and analytics-ready datasets.

You will design scalable ETL/ELT workflows, structure storage architectures, and ensure data quality across sources while collaborating with analysts, product teams, and developers to support reporting, modeling, and visualization needs.

Qualifications

• 2+ years of experience in Data Warehouse development.
• Experience with data analysis of aggregated data from multiple sources in cloud-based environments.
• Experience developing scalable data stores that supply big data for business analysis.
• Experience with SQL and Python for retrieving, parsing, and processing data.
• Experience developing scalable ETL or ELT workflows for reporting and analytics in cloud environments.
• Experience with Cloudera or Hadoop technologies.
• Experience leveraging generative AI coding tools to assist in development.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
• Bachelor's degree.

Responsibilities

• Assist in designing, developing, and maintaining scalable ETL/ELT pipelines for ingesting data from multiple cloud-based sources.
• Assist in building data storage solutions (data warehouses, data lakes, or lakehouses) for large-scale analytics.
• Assist in backend SQL and NoSQL testing, data validation, and troubleshooting ingestion or schema issues.
• Collaborate with analysts, engineers, and stakeholders to translate requirements into data models and pipeline specs.
• Develop scripts and automation to transform diverse data types for analytics and visualization.

Skills

Data warehouse development

Data analysis across sources

SQL and Python

ETL/ELT workflows

Cloud-based pipelines

Generative AI coding tools

Education

Bachelor's degree

Tools

AWS Glue

AWS Athena

PostgreSQL

Spark

Databricks

Hadoop / Cloudera

Job description

Summary

Position contingent on contract award - d

details below are subject to change based on final award.

Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & FederalSolutions, 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

• Assist in designing, developing, and maintaining scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud‑based sources.


• Assist in building and optimizingdata storage solutions (data warehouses, data lakes, or lakehouses) that support large‑scale analytics, reporting, and business intelligence needs.


• Assist in performing 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.


• Assist in developing scripts and automation to convert diverse data types into usable formats, while scaling, monitoring, and operating cloud‑based data platforms.

Qualifications

• 2+ years of experience in Data Warehouse development


• Experience with data analysis of aggregated data from multiple sourcesincloud-basedenvironments


• Experience developing andmaintainingscalable data stores that supply big data in forms needed for business analysis


• Experience with SQLand Pythonfor retrieving, parsing, and processing structured and unstructured data


• Experience developing scalable ETL or ELT workflows for reporting and analyticsusing cloud-based technologies


• Experience withusingCloudera or Hadooptechnologies toingest, transform, andprocess data


• Experienceleveraginggenerative AI coding tools toassistin development


• Ability to perform backend SQLand NoSQLdatabase 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

Final salary determination based on skill-set, qualifications, and approved funding.

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 asSpark, 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

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 $55,000.00/Yr. Up to USD $60,000.00/Yr.