Data Engineer, Mid

Booz Allen; McLean (VA); Sur place; USD 62 000 - 141 000; Plein temps

Résumé du poste

Booz Allen is seeking a Data Engineer to design, develop, test, and maintain data pipelines and processing workflows using Databricks and Python to transform complex data into usable information. You will collaborate with engineers and stakeholders and participate in Agile development to deliver scalable data solutions. U.S.

citizenship is required due to the government client. Responsibilities include building and optimizing pipelines, integrating data from multiple sources, and contributing to

Qualifications

• 3+ years of experience in data engineering, database development, or data warehousing.
• Experience developing data pipelines using Python, and Apache Spark or PySpark.
• Experience with Git or GitHub for source-code management and collaborative development.
• Experience with Jenkins, SQL, including complex queries, joins and aggregations, CTEs, window functions, query optimization, and performance tuning, and relational databases.
• Knowledge of data warehousing concepts, including ETL/ELT, fact and dimension tables, star and snowflake schemas, slowly changing dimensions, and data integration.
• Knowledge of data modeling, including conceptual, logical, and physical data models, and data governance, including data ownership and stewardship, metadata, data lineage, data security, data classification, and data standards.
• Knowledge of CI/CD pipelines, including automated builds, testing, and deployments.
• Ability to develop and support Spark-based processing workflows.
• Public Trust

Responsabilités

• Develop and maintain data pipelines and automated data processing workflows.
• Build data transformations and processing workflows using Databricks, SQL, and Python.
• Integrate data from multiple sources and formats.
• Automate repetitive data processing and operational tasks.
• Test, troubleshoot, and optimize data pipelines for reliability and performance.
• Collaborate with senior engineers and technical teams to implement data solutions.
• Participate in Agile development, code reviews, testing, and deployment activities.
• Contribute to technical documentation and data engineering best practices.

Connaissances

Data engineering

Python

Agile development

Data modeling

CI/CD

Formation

Bachelor's degree

Outils

Databricks

Python

Apache Spark / PySpark

Git / GitHub

Jenkins

SQL

Description du poste

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As a data engineer, you know that reliable data is critical to building modern applications and enabling informed decision-making. We’re looking for a data engineer like you to help develop and automate data pipelines that transform complex data into usable, reliable information.

As a data engineer on our team, you’ll work with experienced engineers and technical teams to design, develop, test, and maintain data pipelines and data processing workflows. You’ll use modern data engineering technologies such as Databricks and Python to integrate, transform, and move data across enterprise environments.

This is an opportunity to grow your data engineering expertise while working with cloud technologies, automation, and modern data platforms. You’ll collaborate with developers, data engineers, and stakeholders to solve technical challenges and deliver scalable solutions. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You’ll Work On:

• Develop and maintain data pipelines and automated data processing workflows.
• Build data transformations and processing workflows using Databricks, SQL, and Python.
• Integrate data from multiple sources and formats.
• Automate repetitive data processing and operational tasks.
• Test, troubleshoot, and optimize data pipelines for reliability and performance.
• Collaborate with senior engineers and technical teams to implement data solutions.
• Participate in Agile development, code reviews, testing, and deployment activities.
• Contribute to technical documentation and data engineering best practices.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

• 3+ years of experience in data engineering, database development, or data warehousing
• Experience developing data pipelines using Python, and Apache Spark or PySpark for processing large datasets
• Experience with Git or GitHub for source-code management and collaborative development
• Experience with Jenkins, SQL, including complex queries, joins and aggregations, CTEs, window functions, query optimization, and performance tuning, and relational databases, including database development, troubleshooting, and performance considerations
• Knowledge of data warehousing concepts, including ETL/ELT, fact and dimension tables, star and snowflake schemas, slowly changing dimensions, and data integration, and data quality concepts, including data validation, completeness, accuracy, consistency, duplicate detection, and data reconciliation
• Knowledge of data modeling, including conceptual, logical, and physical data models, and data governance, including data ownership and stewardship, metadata, data lineage, data security, data classification, and data standards
• Knowledge of CI/CD pipelines, including automated builds, testing, and deployments
• Ability to develop and support Spark-based processing workflows
• Public Trust

Nice If You Have:

• Experience with Databricks or similar cloud-based data platforms
• Experience with Amazon Web Services (AWS)
• Experience with AWS services such as S3, Glue, Lambda, or similar technologies
• Experience with data lake or Lakehouse environments
• Experience with DevSecOps practices, Infrastructure-as-Code, or automated data quality checks
• Experience working with large or complex datasets
• Experience working in federal or other highly regulated environments
• Ability to effectively use approved AI-assisted development tools such as GitHub Copilot, ChatGPT, Amazon Q, or similar tools, to improve productivity, troubleshoot issues, generate and review code, create documentation, and accelerate learning while following organizational security and data-protection standards

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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.

Data Engineer, Mid

The Opportunity:

As a data engineer, you know that reliable data is critical to building modern applications and enabling informed decision-making. We’re looking for a data engineer like you to help develop and automate data pipelines that transform complex data into usable, reliable information.

As a data engineer on our team, you’ll work with experienced engineers and technical teams to design, develop, test, and maintain data pipelines and data processing workflows. You’ll use modern data engineering technologies such as Databricks and Python to integrate, transform, and move data across enterprise environments.

This is an opportunity to grow your data engineering expertise while working with cloud technologies, automation, and modern data platforms. You’ll collaborate with developers, data engineers, and stakeholders to solve technical challenges and deliver scalable solutions. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You’ll Work On:

• Develop and maintain data pipelines and automated data processing workflows.
• Build data transformations and processing workflows using Databricks, SQL, and Python.
• Integrate data from multiple sources and formats.
• Automate repetitive data processing and operational tasks.
• Test, troubleshoot, and optimize data pipelines for reliability and performance.
• Collaborate with senior engineers and technical teams to implement data solutions.
• Participate in Agile development, code reviews, testing, and deployment activities.
• Contribute to technical documentation and data engineering best practices.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

• 3+ years of experience in data engineering, database development, or data warehousing
• Experience developing data pipelines using Python, and Apache Spark or PySpark for processing large datasets
• Experience with Git or GitHub for source-code management and collaborative development
• Experience with Jenkins, SQL, including complex queries, joins and aggregations, CTEs, window functions, query optimization, and performance tuning, and relational databases, including database development, troubleshooting, and performance considerations
• Knowledge of data warehousing concepts, including ETL/ELT, fact and dimension tables, star and snowflake schemas, slowly changing dimensions, and data integration, and data quality concepts, including data validation, completeness, accuracy, consistency, duplicate detection, and data reconciliation
• Knowledge of data modeling, including conceptual, logical, and physical data models, and data governance, including data ownership and stewardship, metadata, data lineage, data security, data classification, and data standards
• Knowledge of CI/CD pipelines, including automated builds, testing, and deployments
• Ability to develop and support Spark-based processing workflows
• Public Trust
• Bachelor's degree

Nice If You Have:

• Experience with Databricks or similar cloud-based data platforms
• Experience with Amazon Web Services (AWS)
• Experience with AWS services such as S3, Glue, Lambda, or similar technologies
• Experience with data lake or Lakehouse environments
• Experience with DevSecOps practices, Infrastructure-as-Code, or automated data quality checks
• Experience working with large or complex datasets
• Experience working in federal or other highly regulated environments
• Ability to effectively use approved AI-assisted development tools such as GitHub Copilot, ChatGPT, Amazon Q, or similar tools, to improve productivity, troubleshoot issues, generate and review code, create documentation, and accelerate learning while following organizational security and data-protection standards

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.