Data Ingest Engineer

Data Ingest Engineer

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.   

As a Data Ingestion Engineer, you have a strong understanding of data integration, transformation, and loading processes, with experience in building and maintaining ETL pipelines. You will work closely with data scientists, frameworks, and other engineering teams to ensure a smooth, end-to-end flow of data from various sources across the enterprise. You’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.  

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.  

Work with us to use big data for good.

Join us. The world can't wait.

You Have:

• 2+ years of experience as an ETL Engineer, including Fullstack Development

• Experience with ETL tools and event-driven architectures, including Kubernetes, Kafka, and Spring Boot, and with Docker and containerization concepts for ETL jobs

• Experience in Java programming, Typescript for front-end development, and writing complex SQL queries for data extraction, transformation, and reporting

• Experience with data warehousing concepts and platforms, such as Snowflake and Amazon Redshift, and with databases such as Postgres, Solr, Accumulo, or Iceberg

• Experience integrating structured and unstructured data from various sources such as APIs, databases, or flat files, and with web services and communication protocols

• Experience with version control and CI/CD technologies including Git, Gitlab Pipelines, and Jenkins

• Knowledge of scripting languages such as Python or Shell scripting for automation of ETL tasks

• Ability to troubleshoot and optimize ETL processes

• TS/SCI clearance

• Bachelor’s degree

Nice If You Have:

• Experience with building end-to-end data pipelines across secure environments

• Experience working in or with the DoD

• Experience with Airflow and Spark a plus

• Knowledge of machine learning concepts and their integration with data pipelines

• Knowledge of non-functional automation testing tools, including SoapUI or Postman

• Knowledge of monitoring and logging frameworks such as Prometheus, Grafana, or Elastic stack

• Possession of strong analytical skills

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 $75,600.00 to $172,000.00 (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.