Job Location: San Diego, CA
Job Detail:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there are more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients create and maintain an optimal data pipeline architecture, assemble large complex data sets, automate manual processes, and design and implement optimal extract, transform, and loading processes. You will build analytical tools to monitor and provide decision support working with analytic products and services teams to identify new data requirements to support analysis utilizing ML.
As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use big data for good.
Join us. The world can’t wait.
You Have:
- 3+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at an enterprise scale
- 3+ years of experience with creating software for retrieving, parsing, and processing structured and unstructured data
- 3+ years of experience with building scalable ETL/ELT workflows for reporting and analytics
- Experience with creating solutions within a collaborative, cross-functional team environment
- Ability to develop scripts and programs for converting types of data into usable formats
- Ability to support project team to scale, monitor, and operate data platforms
- Secret clearance
- Bachelor’s degree
Nice If You Have:
- Experience with Python, SQL, Scala, or Java
- 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 with working on real-time data and streaming applications
- Experience with NoSQL implementation, including MongoDB or Cassandra
- Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
- Experience with Agile engineering practices
Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Preferred dress code
Business (business suit, tie)
What is a virtual interview?
Virtual interviews help employers connect with job seekers when they are not in the same physical location. Since hiring is a human process, employers would like to talk with you online (chat, video or phone) to see if you meet the requirements for the job.
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