Data Engineer - ETL/ELT & Cloud Pipelines (Remote)

Socket.dev; Georgia; On-site; USD 95,000 - 105,000; Full time

Benefits offered by this job

Remote work within US

Comprehensive benefits package

401(k) plan

Job summary

Chenega Services & Federal Solutions, LLC, is seeking a Data Engineer to design, build, and operate scalable ETL/ELT pipelines and data storage solutions in cloud environments. The role involves validating data quality, performing backend SQL/NoSQL testing, and collaborating with analysts and product teams to deliver analytics-ready data for reporting and visualization.

The position offers remote work within the US and requires 3+ years in data warehouse development and related tech, with a

Qualifications

• Bachelor's degree or higher required.
• Ability to obtain and maintain Public Trust or Suitability/Fitness determination.

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.

Job description

Chenega Services & Federal Solutions, LLC, is seeking a Data Engineer to design, build, and operate scalable ETL/ELT pipelines and data storage solutions in cloud environments. The role involves validating data quality, performing backend SQL/NoSQL testing, and collaborating with analysts and product teams to deliver analytics-ready data for reporting and visualization.

The position offers remote work within the US and requires 3+ years in data warehouse development and related tech, with a