Data Engineer, Senior

Socket.dev; Atlanta (GA); On-site; USD 110,000 - 120,000; Full time

Job summary

Chenega Services & FederalSolutions, LLC is seeking a Senior Data Engineer to design and maintain scalable data pipelines and enterprise-grade data platforms. You will build data warehouses and lakehouses, ingest large datasets from APIs and relational sources, and ensure data quality and governance across analytics workflows.

You will collaborate with cloud engineers and data scientists to deliver secure, scalable data solutions on Azure, Databricks, and related technologies while supporting

Qualifications

• 8+ years in data engineering or related fields
• 6+ years with Python and SQL building scalable ETL/ELT pipelines
• 2+ years with Azure Data Factory or equivalent cloud data services
• 1+ years with modern data processing frameworks like Databricks
• Experience integrating data from APIs, files, and relational sources
• Knowledge of relational and NoSQL databases, data modeling, and schema design
• Knowledge of data governance, security, and compliance in enterprise data environments
• Ability to work on-site in Atlanta, GA or Washington, DC
• Bachelor’s degree in computer science, engineering, information systems, or equivalent

Responsibilities

• Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
• Build and optimize data models, warehouses, and lakehouse environments (e.g., Databricks)
• Ingest, clean, validate, and transform large-scale datasets from APIs and data sources
• Establish data quality, metadata management, and governance controls
• Collaborate with cloud engineering teams to deploy data solutions on Azure
• Monitor and improve pipeline performance with logging, alerts, and CI/CD
• Document data architecture and pipeline logic to support team collaboration

Skills

Python & SQL

ETL/ELT pipelines

Data modeling

Azure Cloud

Databricks

Education

Bachelor's degree in CS/Engineering/IS

Tools

Azure Data Factory

Databricks

Job description

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 & FederalSolutions, LLC, a Chenega Professional Services' company, is looking for a Senior Data Engineer.In this role, the Senior Data Engineer,you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions.

You will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization’s analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-level data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making. You will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.

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, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
• Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
• Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
• Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
• Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
• Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
• Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability

Qualifications

• 8+ years of experience in data engineering, software engineering, or database architecture
• 6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
• 2+ years of experience with cloud data ecosystems like Azure Data Factory
• 1+ years of experience with modern data processing frameworks like Databricks
• Experience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
• Knowledge of relational and NoSQL databases, data modeling, and schema design
• Knowledge of data governance, security, and compliance principles for enterprise data environments
• Ability to support on-site work in Atlanta, GA or Washington, DC
• Bachelor’s degree in computer science, Engineering, Information Systems, or a related, quantitative field

Nice If You Have:

• Experience with supporting key data engineering efforts in a government related environment
• Experience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals
• Knowledge of IT infrastructure practices and data access methodologies
• Knowledge of advanced data security practices, governance policies, and compliance frameworks
• Certifications such as Azure Data Engineer Associate

Estimated Salary/Wage

USD $110,000.00/Yr. Up to USD $120,000.00/Yr.