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Data Engineer presso Bespoke Technologies, Inc.

Bespoke Technologies, Inc. · Dulles, Stati Uniti d'America · Onsite

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BT-134 – Data Engineer
Skill Level: Principal I – ESW05
Location: Dulles (Hybrid) (fully on-site, no remote option)


**MUST HAVE A SECRET SECURITY CLEARANCE TO APPLY. Those who do not have a Secret clearance (or higher) will not be considered.**



Bespoke Technologies is seeking a Senior Data Engineer working to support the migration of applications, services and platforms to a Medallion Model.

Responsibilities:
  • Data Pipeline Developer: design, develop and implement, end-to-end data ingestion and processing pipelines using various Cloud and Platform Technologies.
  • Transform incoming bronze data (RAW) into silver (clean) and finally projections into gold tier. (Medallion model)
  • Schedule, orchestrate and monitor automated/semi-automated data pipelines.
  • Perform mapping and integration of data assets in support of the execution of multiple clients.
  • Develop and maintain the data engineering team process improvement plan.
  • Develop code using various programming and scripting languages to automate data ingestion, pipeline orchestration and improve data management processes.
  • Ingest transparency, leveraging technologies such as AWS CloudWatch to identify places for measuring and gathering performance information on automated data pipelines.
  • Ensure Data Engineering Team Standard Operating Procedures are appropriately captured and communicated across the team.
  • Ensure technical correctness, timeliness and quality of delivery for the team.
  • Demonstrate excellent oral and written communication skills to all levels of management.

Required Skills:
  • Active Secret (S) clearance.
  • 8+ years of software engineering experience.
  • Minimum of 4 years of experience performing data engineering work in a cloud environment.
  • Experience with relational, noSQL and/or file-based storage (e.g. Databricks, Elastic, Postgres, etc.)
  • Experience with DevOps tools such as Jenkins, Docker, Ansible, Puppet, Chef, Splunk, etc.
  • Working knowledge of Databricks, Cloud Relational Database Services and Elasticsearch

Desired Skills:
  • Experience with Databricks workflows, Databricks Unity Catalog, Databricks Autoloader, and Databricks Delta Live Tables and Apache Spark.
  • Basic working knowledge with Apache Niagara Files (NiFi)
  • Experience with collaboration tools including MS Teams, MS Outlook, MS SharePoint, and Confluence
  • Amazon Web Services (AWS) Professional certification or equivalent.

Desired Certifications:
  • DoD 8570.1-M Compliance at IAT Level I (e.g., Certified Information Systems Security Professional (CISSP)) certification highly desired
     
Required Education:
  • Bachelor’s degree in Software Engineering, Computer Science or a related discipline is required. [Ten (10) years of experience (for a total of eighteen (18) or more years) may be substituted for a degree.]
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