Booz Allen HamiltonRemote
Data Engineer
United States of America
Full Time
1 week ago
$78,000 - $176,000 USD
No H1B
Key skills
PythonJavaScalaSQLNoSQLShellETLELTData EngineeringData WarehousingAnalyticsSnowflakeRedshiftDatabricksSparkKafkaHadoopCassandraAWSAzureGoogle CloudMySQLMongoDBGitHubGitLabBitbucketVersion ControlAgile
About this role
Booz Allen Hamilton is a technology and consulting firm that focuses on delivering advanced solutions to clients. The Data Engineer role involves organizing and processing structured and unstructured data to provide insights for various missions, while collaborating with a multidisciplinary team to build scalable data platforms.
Responsibilities:
- Help clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence
- Build advanced technology solutions and implement data engineering activities on mission-driven projects
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
- Manage the assessment, design, building, and maintenance of scalable platforms for clients
Requirements:
- 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
- 3+ years of experience with Python, SQL, Scala, or Java
- 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics
- Experience creating solutions within a collaborative and cross-functional team environment
- Experience using version control tools such as GitLab, GitHub, or Bitbucket
- Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms
- TS/SCI clearance
- HS diploma or GED
- Ability to obtain a Security+ Certification within 30 days of start date
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience working on real-time data and streaming applications
- Experience with NoSQL implementation, including MongoDB or Cassandra
- Experience with Databricks
- Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
- Experience with Agile engineering practices
- Bachelor's degree in a Data or IT-related field
- Security+ Certification