Lead Databricks Data Engineer — Mission-Driven Tech Lead

Booz Allen Hamilton; Bethesda (MD); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced data engineer to help build mission-ready technology by leading data engineering activities and overseeing pipelines and platforms that organize disparate data for meaningful insights.

You will mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, guiding the assessment, design, building, and maintenance of scalable platforms for clients.

Qualifications

• 7+ years of experience in application development.
• 7+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale.
• 5+ years of experience creating software for retrieving, parsing and processing structured and unstructured data.
• 5+ years of experience developing scalable ETL/ELT workflows for reporting and analytics.
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor and operate data platforms.
• Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environment.

Responsibilities

• Oversee development and deployment of data pipelines and platforms that organize disparate data for meaningful insights.
• Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Lead data engineering activities on mission-driven projects, guiding assessment, design, building, and maintenance of scalable platforms.

Skills

Python

SQL

Scala

Java

Data engineering

ETL/ELT

Cloud

Education

Bachelor’s degree

Tools

Spark

Databricks

Hadoop

Kafka

AWS EMR

Redshift

Job description

Booz Allen Hamilton is seeking an experienced data engineer to help build mission-ready technology by leading data engineering activities and overseeing pipelines and platforms that organize disparate data for meaningful insights.

You will mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, guiding the assessment, design, building, and maintenance of scalable platforms for clients.