Data Engineer

Data Engineer at Booz Allen Hamilton in Atlanta, GA is responsible for building and deploying data pipelines and platforms that organize disparate data for mission-driven projects.

Responsibilities

• Design and deploy pipelines and data platforms that transform diverse data into actionable information.
• Collaborate with a cross-functional team of analysts, data engineers, developers, and data consumers in a fast-moving, agile environment.
• Advance analytical exploration and data examination while supporting the assessment, design, development, and maintenance of scalable client data platforms.

Requirements

• 3+ years of experience in Data Warehouse development
• 3+ years of experience analyzing aggregated data from multiple sources in cloud-based environments
• 2+ years of experience building and maintaining scalable data stores that support big data for business analysis
• Proficiency in SQL and Python for retrieving, parsing, and processing structured and unstructured data
• Experience designing scalable ETL or ELT workflows for reporting and analytics using cloud technologies
• Ability to create scripts and programs that convert varied data types into usable formats and support scaling, monitoring, and operation of data platforms
• Capability to perform backend SQL and NoSQL testing, including post-deployment validation
• Eligibility to obtain and maintain a Public Trust or Suitability/Fitness determination as required by the client
• Bachelor's degree

Technologies

• SQL
• Python
• AWS Glue
• AWS Athena
• Postgres
• Cloudera
• Spark
• Databricks
• Hadoop
• Hive
• AWS EMR
• Kafka
• MongoDB
• Cassandra
• AWS Redshift
• MySQL
• Snowflake
• UNIX
• Linux
• Shell scripting

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Nice If You Have

• Experience collaborating within a collaborative, cross-functional team
• Experience with AWS Glue, AWS Athena, and Postgres
• Experience with distributed data and computing tools such as Cloudera, Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working on real‑time data and streaming applications
• Experience with NoSQL implementations using MongoDB or Cassandra
• Experience with data warehousing technologies such as AWS Redshift, MySQL, or Snowflake
• Experience with UNIX and Linux environments, including shell scripting
• Experience with Agile engineering practices

Vet Data and Security

• Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client

Compensation

USD 77,500 - 176,000 per year