Data Engineer

We offer a robust benefits package and a culture that prioritizes professional growth and mission-driven work. This onsite role in Atlanta, GA supports collaborative, cross-team efforts that span mission-focused projects in the region, with opportunities to engage with teams in Washington, DC. Our comprehensive benefits include health, life, disability, financial and retirement plans, paid leave, professional development, tuition assistance, work-life programs, and dependent care, along with a recognition awards program that honors exceptional performance and values-driven contributions.

Responsibilities

• Develop and deploy data pipelines and platforms that organize disparate data into meaningful, actionable insights.
• Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Support analytical exploration and data examination while contributing to the assessment, design, development, and maintenance of scalable platforms for clients.

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 developing and maintaining scalable data stores that supply big data for business analysis
• Experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL or ELT workflows for reporting and analytics using cloud-based technologies
• Ability to develop scripts and programs to convert various data types into usable formats and support the project team to scale, monitor, and operate data platforms
• Ability to perform backend SQL and NoSQL database testing, including post-deployment and data validation testing
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• 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 to have

• Experience creating solutions within a collaborative and cross-functional team environment
• 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, including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices

Vetting

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

Compensation

Salary range: USD 77,500 - 176,000 per year. Booz Allen offers a comprehensive benefits package and a recognition programs that acknowledges exceptional performance and alignment with our values. The organization supports health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Identity verification

As part of the hiring process, you will be asked to complete an identity verification process that uses biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Interview and assessment sessions may require you to be on camera, and the employer may take your photo to verify identity and prevent fraud.

Candidate AI Usage Policy

Artificial intelligence is part of Booz Allen's daily work, and the company promotes responsible and ethical use of AI tools. However, the candidate process should reflect your own skills and knowledge. The use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Work model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration with colleagues and customers as required by the role.

Commitment to non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.