Innovation at the Pace of Need™
Data Engineer
Location
North Carolina
Posted
9 days ago
Salary
$122.2K - $211.3K / year
Job Description
Job Requirements
- Active SECRET clearance required
- Bachelor's Degree in a STEM or related field
- Minimum 3-years of demonstrated experience with enterprise data management solutions and platforms in the areas of master data management, data quality management, data governance, metadata management, Extract-Transform-Load (ETL), data warehousing, and data lakes
- Minimum 2-years of experience modeling and managing structured and unstructured data including photos/images, physical specifications/technical diagrams
- Experience leading legacy data integration and remediation (facades, strangler approaches, etc )
- Deep understanding of different integration patterns and best practices such as events, synchronous vs asynchronous messaging, peer-to-peer, publish-to-subscribe, distributed logs, and RESTful APIs
- Must possess and maintain an active Secret Security Clearance.
- Demonstrated experience working with relational( sql ) database management systems, normalizing complex data to optimize for writing and reading as well as designing efficient queries for operational and analytical purposes.
- Demonstrated experience working with messaging platforms (Kafka, Rabbitmq , Redis queueing) to create data pipelines that allow applications to operate as loosely coupled components and facilitate easy on-boarding of new features.
- Has worked with message encoding languages such as Protobuf , Avro, JSON, and can select appropriate solution for a given message stream.
- Demonstrated experience working with specific non-relational databases such as Apache Druid, Cassandra, and AWS Simple Storage Solution(S3).
- Should be able to explain when to use these solutions and instead of relational database solutions.
- Some experience working with distributed, high-volume database solutions such as Apache Hadoop, Apache Spark.
- Proficiently in scripting data transformations jobs and writing API servers with Python
- Has worked with domain experts in a field they did not have proficiency to deliver value to customers
- Demonstrated experience working with Kubernetes (k8s) and containerization (docker).
Benefits
- High Fringe/Full-Time
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