Senior Consultant Data Engineer; DHS Public Trust

Senior Consultant Data Engineer (DHS Public Trust)

Excella is a leading provider of Agile software development and data and analytics solutions to clients in the federal, commercial and non‑profit sectors. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact.

Senior Data Engineers at Excella play a key role in designing and building modern data solutions, including data lakes and cleansed data repositories. They develop robust, scalable, and sustainable data pipelines using batch and streaming technologies and collaborate with cross‑functional teams, including Architects, Data Scientists, and Dev Ops, to ensure data availability, quality, and integration.

• Develop and manage data processes to ensure availability and usability.
• Create and automate data pipelines and platforms.
• Write clean, efficient, and well‑documented code to support data engineering solutions.
• Monitor and ensure data quality through automated testing frameworks.
• Collaborate with Architects, Product Owners, Data Scientists, and Dev Ops to design, build, and maintain scalable data solutions.
• Research data acquisition sources and evaluate suitability.
• Integrate data management solutions into client environments.
• Identify and mitigate risks to data while ensuring data recovery plans.
• Build and maintain data repositories, including data warehouses, data lakes, and operational data stores.

• Active DHS Public Trust clearance is required due to the immediate need of the position.
• 3+ years of professional experience in data engineering or related fields.
• Proven ability to build robust, scalable data pipelines and production‑grade ETL/ELT systems.
• Strong proficiency in SQL, Python, and orchestration tools like Airflow and dbt.
• Hands‑on experience with big data technologies such as Spark, Kafka, and file formats like Parquet, Delta Lake, and Iceberg.
• Deep experience with cloud data platforms (e.g., AWS Glue, S3, Redshift, EMR, Big Query, or Azure equivalents).
• Solid understanding of data modeling, performance optimization, and designing secure, well‑structured data stores.
• Familiarity with data lake and analytical architecture patterns, including Star Schema, schema‑on‑read, and data quality frameworks.
• Experience with CI/CD, Git, infrastructure‑as‑code (e.g., Terraform), and No
  
  SQL databases.
• Effective communicator with experience working in Agile environments (Scrum/Kanban) and collaborating across technical and non‑technical teams.
• Strong problem‑solving skills, a growth mindset, and a passion for learning new technologies.

Excella is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.