Data Engineer, Mid Jobs

$60,400 - $137,000/Yr

Booz Allen Hamilton - Washington, DC

posted about 2 months ago

Part-time,Full-time - Mid Level
Washington, DC
Professional, Scientific, and Technical Services

About the position

As a Data Engineer at Booz Allen, you will be at the forefront of advanced technology, tackling complex data challenges that are critical to our clients' missions. Your role will involve developing and deploying data pipelines and platforms that transform disparate data sources into meaningful insights. You will work within a multi-disciplinary team that includes analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. This position offers a unique opportunity to enhance Booz Allen's DataOps capabilities while contributing to mission-driven projects, particularly in the realm of law enforcement modernization. In this role, you will architect data systems, build ETL (Extract, Transform, Load) pipelines, and perform data ingestion. Your responsibilities will include conducting analytical exploration and examination of data, as well as leading the assessment, design, building, and maintenance of scalable data platforms. You will guide clients in solving their most pressing challenges by leveraging cutting-edge data tools and techniques. This is a chance to drive innovation and make a significant impact in the field of data engineering, ensuring that our clients can effectively protect civilians and meet their operational goals.

Responsibilities

  • Develop and deploy data pipelines and platforms.
  • Architect data systems and build ETL pipelines.
  • Perform data ingestion and transformation.
  • Conduct analytical exploration and examination of data.
  • Lead the assessment, design, building, and maintenance of scalable data platforms.
  • Collaborate with a multi-disciplinary team to enhance DataOps capabilities.

Requirements

  • 3+ years of experience as a Data Engineer or Software Engineer.
  • Experience with data architecture and data modeling.
  • Knowledge of Data ETL tools.
  • Knowledge of data ingestion, transformation logic, and querying data.
  • Ability to quickly learn technical concepts.
  • Ability to communicate with multiple functional groups.

Nice-to-haves

  • Experience with Agile methodologies.

Benefits

  • Health insurance coverage.
  • Life insurance coverage.
  • Disability insurance coverage.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development opportunities.
  • Tuition assistance programs.
  • Work-life balance programs.
  • Dependent care support.
  • Recognition awards for exceptional performance.
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