Azure Data Engineer, Lead
The DHS Cube program is seeking an experienced Data Engineer for its data management, data integration, and business intelligence program. This high-visibility mission support data program is managed within Headquarters for the DHS and our numerous client stakeholders. Over the next year and beyond, this program will be looking to take on new challenges, including modernizing their business intelligence technologies through a move to cloud services, improving the data quality through the development of confidence scorecards, and development of a data governance or data standards prototype.
As part of this role, our Azure ETL Engineer will be responsible for moving ETL pipelines from one framework to a new framework. The role will also perform ETL testing and troubleshooting, including testing the unit data models, system performance testing, uploading, downloading, or querying speed tests, and data flow validations. In this role, you will also be building repeatable documentation assets to enable implementation teams to take advantage of pre-built assets, identifying data storage requirements, determining the storage needs of the customer, and ongoing development of a repository of ETL knowledge and utilizing that to enhance the quality, speed, and productivity of the team. As a senior member of the team, you’ll also be supporting more mid-level engineers with the testing and QA of their code along with an expectation of enhanced code velocity, design thinking, and the ability to work independently and provide feedback to the Data Architect on required design updates throughout the process.
Join us. The world can’t wait.
8+ years of experience in a role encompassing industry standard ETL development techniques
8+ years of experience with data integration, and database technologies, including Oracle, Postgres, Cosmos, or SQL
3+ years of experience with Azure Cloud SaaS solutions and managed services serverless technologies, including Azure Data Factory, Synapse Analytics, Logic Apps, or ADLS
Experience with data analysis and profiling of source data while developing or building robust ETL processes
Knowledge of disparate data sources and targets
Knowledge of data validation, cleansing, transformation, consolidation, de-duplication, aggregation, de-aggregation, and enrichment
Knowledge of API development and testing
Nice If You Have:
Experience with Agile and Scrum methodologies
Experience with Azure Platform CI/CD or DevOps
Experience with reporting tools, including Tableau or Power BI
Experience with industry standard ETL tools such as SQL, scripting languages, data modelling techniques, or relational and NoSQL database engineering and configuration, including document store, Azure Cosmos, or AWS DynamoDB
Knowledge of data transactional requirements, business logic pertaining to commit and rollback cycles, and how to implement to preserve the integrity of related data elements in government, financial and similar systems
Ability to build ETL processes that apply to data migration and data integration scenarios to know their key differences
Ability to adapt to a rapidly changing product and respond strategically to client needs
Ability to balance multiple efforts simultaneously and meet strict deadlines
Ability to have a desire for learning and development, and a passion for exploratory analysis or exploratory learning
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS suitability is required.
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Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
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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 $93,300.00 to $212,000.00 (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.
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If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
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