Data Engineer, Senior
Booz Allen Hamilton2 months ago
Base Salary
$78k - $176k/yr
Responsibilities
- Design, build, deploy, operationalize, and maintain scalable data warehouses, data lakes, platforms, and systems.
- Develop and automate ETL/ELT pipelines and large-scale batch, streaming, and event-processing workflows.
- Parse and organize structured, unstructured, and event-streaming data from disparate sources.
- Assess, design, tune, and maintain data lake architectures to improve cloud storage and pipeline performance.
- Implement data catalog, data usage, governance, and lifecycle management solutions.
- Use analytical exploration and data examination to help clients derive meaningful insights from data.
- Work with and guide multidisciplinary teams of analysts, data engineers, developers, and data consumers.
- Create and improve continuous automation across multiple technical stacks and automate delivery pipelines.
Requirements
- At least 6 years of experience designing data warehouses or data lakes, RESTful API models, event processing, or business intelligence for software systems.
- Experience building scalable ETL or ELT pipelines and automating large-scale batch and streaming data workflows.
- Experience coding with Postgres, SQL, Python, Scala, Spark, or Java.
- Experience using Apache Spark, Apache NiFi, or Databricks.
- Experience tuning data lake architecture for cloud storage and pipeline performance.
- Experience with data catalog, data usage, governance, and lifecycle management solutions.
- Top Secret clearance is required.
- Bachelor’s degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years of equivalent data systems experience in lieu of a degree.
- Preferred: 4+ years architecting and designing large-scale enterprise data and analytics systems.
- Preferred: 4+ years using and developing data systems with AWS and Microsoft Azure cloud data products.
- Preferred: Experience with Apache Spark, Apache NiFi, Airflow, Databricks, Snowflake, Redshift, or BigQuery.
- Preferred: Experience with federal information system policies, including NIST 800.53 and FISMA, data security, access controls, and data protection techniques.
- Preferred: Experience automating delivery pipelines with tools such as Jenkins or GitHub.
- Preferred: Experience with Elasticsearch, OpenSearch, Solr, MongoDB, or Cosmos DB.
- Preferred: Experience with AI or ML pipelines and processes.
- TS/SCI clearance with a polygraph and a master’s degree are preferred.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Full-time and part-time employees regularly working at least 20 hours per week are eligible for Booz Allen benefit programs, with select offerings for those below the threshold.
- The posting states a remote, hybrid, or onsite work model may require work at a Booz Allen or customer facility depending on the position and role needs.
Tech Stack
Amazon RedshiftApache AirflowApache SparkAWSAzureDatabricksElasticsearchGoogle BigQueryJavaJenkinsMongoDBPostgreSQLPythonScalaSnowflakeSQL
Categories
Data Engineering
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).