Remote Data Engineer - Big Data Pipelines for Impact

Booz Allen Hamilton; Ashburn (VA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design, build, and optimize data pipelines across diverse data sources, enabling insights for mission-critical initiatives. You will shape scalable data platforms and collaborate with analysts, developers, and data consumers in an agile setting.

In this role, you will leverage Spark/Databricks, ETL/ELT workflows, and cloud data architectures (data lakes, data mesh, data fabric) to deliver robust data solutions for complex projects and clients.

Qualifications

• 3+ years of experience in a data engineer, database engineer, or data architect role.
• Experience with ETL, data ingestion and data pipeline integration.
• Experience in facilitating large-scale analysis of relational data using advanced graphics, visualization techniques, and high-performance computing.
• Experience building scalable data pipelines, including with Apache Spark or Databricks, developing ETL/ELT workflows, and supporting cloud platforms including data lakes, data mesh, and data fabric.
• Experience in big data, pipeline design, ETL, warehousing, R/RStudio, and query tools.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor’s degree

Responsibilities

• Implement data engineering activities on mission-driven projects.
• Develop pipelines and platforms that organize disparate data.
• Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Manage assessment, design, building, and maintenance of scalable platforms for clients.

Skills

Years of experience in data engineer /

Education

Bachelor’s degree

Tools

Apache Spark

Databricks

R/RStudio

SQL

Job description

Booz Allen Hamilton is seeking a Data Engineer to design, build, and optimize data pipelines across diverse data sources, enabling insights for mission-critical initiatives. You will shape scalable data platforms and collaborate with analysts, developers, and data consumers in an agile setting.

In this role, you will leverage Spark/Databricks, ETL/ELT workflows, and cloud data architectures (data lakes, data mesh, data fabric) to deliver robust data solutions for complex projects and clients.