Databricks Data Engineer

Booz Allen Hamilton•Ashburn, VA

1d•$99,000 - $225,000

About The Position

Databricks Data Engineer The Opportunity As a Databricks data engineer, you’ll use your skills to help implement data engineering activities on some of the most mission-driven projects in the industry. You’ll support the development and deployment of modern data pipelines and platforms that transform raw data into meaningful, actionable insights. You’ll work with a multi-disciplinary team of data engineers, analysts, developers, and data consumers in a fast-paced, agile environment. In this role, you’ll grow your technical skills while supporting the design, build, and maintenance of scalable data platforms leveraging Databricks and cloud-native technologies. This position is located in Ashburn, Virginia Join us. The world can’t wait.

Requirements

3+ years of experience with data engineering concepts and delivery in academic or professional environments
3+ years of experience working with Databricks, Apache Spark, or distributed data processing frameworks
3+ years of experience working with Python and PySpark development
3+ years of experience with SQL and working with structured and semi-structured data
Experience with data pipelines, workflow orchestration, or process automation
Experience working in cloud environments, including Azure, AWS, or GCP
Experience supporting data architectures, including data lakes, data warehouses, or data marts
Ability to work in a collaborative, fast-paced, ambiguous, and ever-changing environment
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree and 5+ years of experience in Enterprise IT, or 8+ years of experience in Enterprise IT in lieu of a degree

Nice To Haves

Experience with Databricks platform capabilities, including Unity Catalog and MLflow
Experience implementing Lakehouse architectures and Medallion data patterns, including Bronze, Silver, or Gold
Experience with infrastructure-as-code tools, including Terraform or CloudFormation
Experience designing cloud-based data architectures or deploying production-grade machine learning workloads
Experience with big data ecosystem tools, including Delta Live Tables, Azure Data Factory, AWS Glue, Kafka, or similar
Experience with Spark SQL and performance tuning
Experience with data governance, data cataloging, or data quality management practices
Experience with data visualization tools, including Power BI or SSRS
Databricks certification