Data Engineer

The Opportunity:

Are you a data professional ready to join a dynamic team cracking the government's most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, Advana is the place for you!

Booz Allen is seeking experienced Data Engineers to join our Advana team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

What You'll Do:

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
• Maintain documentation for software applications, workflows, and processes.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

You Have:

• 3+ years of experience within Data Engineering, Data Science, Data Analytics, Software Engineering, or DevOps
• Experience with developing scalable ETL workflows or developing data pipelines
• Experience with working with large datasets and leveraging big data technologies to process and analyze data efficiently
• Experience with distributed data computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, Jupyter Notebooks or Kafka
• Experience with programming languages, including C++, JavaScript, JSON, SQL, or Python
• Experience creating solutions within a collaborative, cross-functional team environment
• Knowledge of data modeling and visualization, database design principles, and data governance practices
• 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
• Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with Qlik, Qlik Sense, QVD, QlikView, or Qlik Production Application Standards (QPAS)
• Experience with DoD or IC related clients
• Experience with Advana platform
• Experience with Agile engineering practices
• TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly 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, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.