Booz Allen Hamilton ir vadības un tehnoloģiju konsultāciju uzņēmums, kas sniedz valdības un komerciālajiem klientiem progresīvas tehniskās un stratēģiskās zināšanas. Uzņēmuma darbība aptver nacionālo drošību, aizsardzību, izlūkošanu, civilo pārvaldi un kritisko infrastruktūru. Tas apvieno komandas, kas specializējas mākslīgajā intelektā, kiberdrošībā, mākoņdatošanā, digitālajā pārveidē, inženierijā, kā arī misiju un operāciju atbalstā. Uzņēmums īpaši pievēršas sarežģītiem un augstu drošības līmeni prasošiem izaicinājumiem militārajām, izlūkošanas un federālajām iestādēm, kā arī atsevišķiem komerciālajiem sektoriem.
SQL Data Engineer, Bethesda
Build scalable Databricks pipelines and analytics datasets for Booz Allen’s federal health and regulatory science work. Collaborate across technical teams to deliver secure data solutions that support mission-critical decisions.
Apraksts
- Create and improve data solutions for federal health programs, regulatory science, and other high-impact missions.
- Build scalable pipelines, data models, and analytics-ready datasets with advanced SQL and Databricks.
- Work with data engineers, analysts, software developers, data scientists, and client stakeholders.
- Integrate data and strengthen its quality.
- Deliver secure, high-performing data solutions.
- Develop, tune, and troubleshoot SQL queries, stored procedures, views, functions, and data transformations.
- Support data engineering, analytics, and mission-critical decision-making.
Prasības
- Bring 5+ years of experience developing, optimizing, and troubleshooting complex SQL solutions—including queries, stored procedures, views, functions, and data transformations—in Oracle SQL, PostgreSQL, and Databricks SQL.
- Have 2+ years of experience with Databricks Workspace, notebooks, jobs, workflows, Apache Spark, Delta Lake, and cluster configuration.
- Know relational databases, data modeling, dimensional modeling, data warehousing, and the design and implementation of medallion architecture patterns.
- Have experience integrating data from databases, cloud data platforms, APIs, JSON, XML, and flat files.
- Build data engineering solutions in Python and manage code with Git or comparable source control.
- Implement automated testing, data validation, reconciliation, and data-quality processes.
- Translate solutions across SQL dialects and database environments.
- Work independently in an Agile, collaborative, client-focused setting; troubleshoot complex issues, raise questions proactively, and alert management early to risks and recommended actions.
- Obtain Public Trust.
- Hold a bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Biostatistics, or Mathematics.
- Undergo a government investigation; eligibility requirements set by the U.S. government client may apply, and a Public Trust determination is required.
Priekšrocības
- Health coverage
- Life insurance
- Disability coverage
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards for exceptional performance and strong demonstration of company values