Data Engineer
Booz Allen Hamilton
•
Tampa, FL
0
0
0
0
Not Applicable
Posted April 2, 2026
2 variants
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- As a data engineer at Booz Allen, you’ll help build advanced technology solutions and 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 data for good.
Commitments
The world can’t wait.
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.
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.
This posting will close within 90 days from the Posting Date.
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
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 .
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- 3+ years of experience in a data engineering or analytics engineering role in a professional work environment
- 2+ years of experience with developing and maintaining scalable data stores that supply big data in forms needed for business analysis
- Experience with SQL and a general-purpose programming language, such as Python, Jave, TypeScript, or C++
- Experience with creating programs for retrieving, parsing, and processing structured and unstructured data
- Experience working with digital engagement metric tools, such as Google Analytics
- Experience with developing scalable ETL and ELT workflows for reporting and analytics
- Experience in 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
- Secret clearance
- Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with natural language processing (NLP) or techniques for extracting insights from text and documents
- Experience with working on real-time data and streaming applications, and with NoSQL implementation using MongoDB or Cassandra
- Experience with UNIX and Linux, including basic commands and Shell scripting
- TS/SCI clearance
Preferred Skills
- Experience with Palantir Foundry
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with natural language processing (NLP) or techniques for extracting insights from text and documents
- Experience with working on real-time data and streaming applications, and with NoSQL implementation 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
- TS/SCI clearance
Education
- (Not required) – Bachelor’s degree
- (Not required) – Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or Data Science preferred
Job Number: R0234716
Data 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 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 data to impact important missions—from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you’ll help build advanced technology solutions and 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 data for good.
Join us. The world can’t wait.
You Have:
3+ years of experience in a data engineering or analytics engineering role in a professional work environment
2+ years of experience with developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience with SQL and a general-purpose programming language, such as Python, Jave, TypeScript, or C++
Experience with creating programs for retrieving, parsing, and processing structured and unstructured data
Experience working with digital engagement metric tools, such as Google Analytics
Experience with developing scalable ETL and ELT workflows for reporting and analytics
Experience in 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
Secret clearance
Bachelor’s degree
Nice If You Have:
Experience with Palantir Foundry
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with natural language processing (NLP) or techniques for extracting insights from text and documents
Experience with working on real-time data and streaming applications, and with NoSQL implementation 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
TS/SCI clearance
Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or Data Science preferred
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.
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 $77,500.00 to $176,000.00 (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 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.
Data 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 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 data to impact important missions—from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you’ll help build advanced technology solutions and 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 data for good.
Join us. The world can’t wait.
You Have:
3+ years of experience in a data engineering or analytics engineering role in a professional work environment
2+ years of experience with developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience with SQL and a general-purpose programming language, such as Python, Jave, TypeScript, or C++
Experience with creating programs for retrieving, parsing, and processing structured and unstructured data
Experience working with digital engagement metric tools, such as Google Analytics
Experience with developing scalable ETL and ELT workflows for reporting and analytics
Experience in 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
Secret clearance
Bachelor’s degree
Nice If You Have:
Experience with Palantir Foundry
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience with natural language processing (NLP) or techniques for extracting insights from text and documents
Experience with working on real-time data and streaming applications, and with NoSQL implementation 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
TS/SCI clearance
Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or Data Science preferred
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.
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 $77,500.00 to $176,000.00 (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 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.