Senior Data Engineer: Build Scalable Pipelines

GAP Solutions Inc; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

GAP Solutions Inc. in Atlanta, GA seeks an experienced Data Engineer to design and maintain enterprise-grade ETL/ELT pipelines, data models, and lakehouse architectures. You will ingest, clean, and transform large datasets from diverse sources and collaborate with cloud engineers to deploy data solutions on Azure.

The role emphasizes data governance, security, and scalable analytics, with identity as a US citizen or green card holder a stated requirement. On-site work in ATL or DC is required.

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.
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

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

Skills

Python

SQL

Data engineering

ETL/ELT pipelines

Cloud platforms

Data governance & security

Databases (Relational/NoSQL)

On-site work readiness

Education

Bachelor's degree in computer science, Engineering, Information Systems, or related field

Tools

Azure Data Factory

Databricks

Job description

GAP Solutions Inc. in Atlanta, GA seeks an experienced Data Engineer to design and maintain enterprise-grade ETL/ELT pipelines, data models, and lakehouse architectures. You will ingest, clean, and transform large datasets from diverse sources and collaborate with cloud engineers to deploy data solutions on Azure.

The role emphasizes data governance, security, and scalable analytics, with identity as a US citizen or green card holder a stated requirement. On-site work in ATL or DC is required.