Data Engineer

Data Engineer

The Opportunity 
Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What's more, you'll have the chance to grow Booz Allen's DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment.

We're looking for someone like you to ensure our clients meet their mission by impacting a results-driven national security organization. This is an opportunity to support data engineering activities on some of the most mission-driven projects in the industry. Driving innovation, you'll have the chance to architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, and build data models. Perform analytical exploration and examination of data. Lead the assessment, design, building, and maintenance of scalable platforms. Guide your clients to solve their most pressing challenges. Ready to drive innovation using cutting-edge data tools and techniques?  

Join us. The world can’t wait.  

You Have:   

• 4+ years of experience utilizing programming languages, including Python, SQL, and PySpark

• 2+ years of experience with building, maintaining, and developing production data pipeline tools, including Apache Airflow or Luigi

• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis 

• Experience creating software for retrieving, parsing, and processing structured and unstructured data 

• Experience with developing scalable ETL and ELT workflows for reporting and analytics 

• Experience with secure data transfer protocols and working within and across government network environments, including NIPR, SIPR, or JWICS

• Experience creating solutions within a collaborative, cross-functional team environment 

• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms 

• TS/SCI clearance  

• Bachelor’s degree 

Nice If You Have:   

• Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 

• Experience with geospatial data formats, including Shapefile, GeoJSON, or KML

• Experience with geospatial processing libraries, including GDAL, Geopandas, or PostGIS

• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud 

• Experience with Version Control, including Git and collaborative development workflows

• Experience working on real-time data and streaming applications  

• Experience with NoSQL implementation using MongoDB or Cassandra 

• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake 

• Experience with Agile engineering practices  

• TS/SCI clearance with a polygraph 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.