Booz Allen HamiltonRemote
Data Engineer
United States of America
Full Time
2 weeks ago
$62,000 - $141,000 USD
No H1B
Key skills
PythonJavaC++CScalaSQLNoSQLShellETLELTData EngineeringData WarehousingAnalyticsSnowflakeRedshiftDatabricksSparkKafkaHadoopCassandraAWSAzureGoogle CloudMySQLMongoDBAgile
About this role
Booz Allen Hamilton is a leading technology and consulting firm, and they are seeking a Data Engineer to help clients find answers in their data. The role involves building advanced technology solutions and implementing data engineering activities to organize and make disparate data meaningful for various mission-driven projects.
Responsibilities:
- Help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence
- Develop and deploy the pipelines and platforms that organize and make disparate data meaningful
- Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
- Support the assessment, design, developing, and maintenance of scalable platforms for your clients
Requirements:
- 2+ years of experience utilizing programming languages, including C++, Java, or Python
- 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
- Experience creating software for retrieving, parsing, and processing structured and unstructured data
- Experience with developing scalable ETL or ELT workflows for reporting and analytics
- Experience creating solutions within a collaborative, cross-functional team environment
- 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
- Public Trust
- Bachelor's degree
- Experience in application development utilizing SQL or Scala
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience working on real-time data and streaming applications
- Experience with NoSQL implementation using MongoDB or Cassandra
- Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
- Experience with UNIX or Linux, including basic commands and Shell scripting
- Experience with Agile engineering practices