We are seeking to hire a Sr. Data Engineer for an on-site role in Dulles, VA. Must have an Active Secret (S) clearance, be able to obtain a TS/SCI clearance, and DHS Suitability
Please review the job description below and apply if this is something that interests you
Epic Systems is supporting a U.S. Government customer on a large mission critical development and sustainment program to design, integrate, build, deliver, and operate a network operations environment including introducing new cyber capabilities to address emerging threats. Epic is seeking a Databricks Engineer to support the migration of customer applications, services and platforms to a Medallion Model. This opportunity represents the cornerstone of the future of the organization.
Job Title: Sr. Data Engineer
Work Location: Dulles, VA (Onsite)
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 mission customers.
• 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 and the customer.
Required Skills:
• Active Secret (S) clearance. Must be able to obtain a TS/SCI clearance
• Must be able to obtain DHS Suitability
• 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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