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Senior Data Engineer
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Senior Data Engineer
role at Booz Allen.
The Opportunity As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to help support our nation's warfighters.
How You'll Contribute
Use your data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data methodologies, and generate cross-functional solutions through analysis and visualization of large data sets.
Contribute to impactful work and guide decision-making across multiple organizations.
Apply communication skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages and Microsoft Office Suite.
Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
Apply data visualization through different formats.
Grow your communication and technical skills by creating data-centric solutions across mission areas.
You Have
3+ years of experience in a data engineering, application development, or data science field.
3+ years of experience with designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale.
3+ years of experience with Python, SQL, Scala, or R.
2+ years of experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS.
Experience working in IC or DOD environments.
Experience creating solutions within a collaborative, cross-functional team environment.
TS/SCI clearance with a polygraph.
Bachelor's degree in a Computer Science, Data Science, or Mathematics field.
Nice If You Have
Experience with Palantir tools, such as Foundry or Gaia.
Experience with Large Language Models, including both applied and theoretical.
Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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 with polygraph is required.
Compensation Salary range: $77,600.00 to $176,000.00 (annualized USD). Compensation is determined by location, education, experience, and organizational requirements. The posting will close 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
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.
Seniority Level Mid-Senior level
Employment Type Part-time
#J-18808-Ljbffr
Senior Data Engineer
role at Booz Allen.
The Opportunity As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to help support our nation's warfighters.
How You'll Contribute
Use your data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data methodologies, and generate cross-functional solutions through analysis and visualization of large data sets.
Contribute to impactful work and guide decision-making across multiple organizations.
Apply communication skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages and Microsoft Office Suite.
Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
Apply data visualization through different formats.
Grow your communication and technical skills by creating data-centric solutions across mission areas.
You Have
3+ years of experience in a data engineering, application development, or data science field.
3+ years of experience with designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale.
3+ years of experience with Python, SQL, Scala, or R.
2+ years of experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS.
Experience working in IC or DOD environments.
Experience creating solutions within a collaborative, cross-functional team environment.
TS/SCI clearance with a polygraph.
Bachelor's degree in a Computer Science, Data Science, or Mathematics field.
Nice If You Have
Experience with Palantir tools, such as Foundry or Gaia.
Experience with Large Language Models, including both applied and theoretical.
Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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 with polygraph is required.
Compensation Salary range: $77,600.00 to $176,000.00 (annualized USD). Compensation is determined by location, education, experience, and organizational requirements. The posting will close 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
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.
Seniority Level Mid-Senior level
Employment Type Part-time
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