Databricks Engineer

Job Summary:We are 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. We are seeking a Databricks Engineer to support the migration of customer applications, services and platforms to a Medallion Model. This opportunityrepresents the cornerstone of the future of the organization. Duties: Supporting teams to migrate services, applications and platforms from legacy back-end systems to Databricks. Identifying the optimal path for migration, building the plan for migration and finally, execution of the plan. Data Pipeline migration of legacy pipelines from NiFi to Databricks, complete with validation. Implementing the medallion model for each of the data assets being migrated to Databricks. Develop an SOP for integration of data assets into the Databricks platform focused on efficiency, instrumentation and performance. Optimize development, testing, monitoring and security for data assets being added to the Databricks platform. Develop and implement a strategy for optimizing migration and integration of data assets to the Databricks platform. Develop code using various programming and scripting languages to automate/optimize 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. Skills: Must have an Active Secret (S) clearance and be able to obtain a TS/SCI clearance Must be able to obtain DHS Suitability 8 + years of directly relevant software development experience required. Minimum of 5 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, S3, Athena, etc.) Experience working in a CICD Pipeline factory environment Working knowledge of Databricks, Cloud Relational Database Services, NiFi, AWS Redshift and Elasticsearch Desired Skills: Databricks workflows Databricks Unity Catalog Databricks Autoloader Databricks Delta Live Tables/Delta Lak Databricks Workspace/Notebooks MLflow Apache Spark Experience with collaboration tools including MS Teams, MS Outlook, MS SharePoint, and Confluence Amazon Web Services (AWS) Professional certification or equivalent. Excellent problem-solving and communication skills. Familiarity with CISA: Securing the Software Supply Chain Familiarity with CISA: Cybersecurity Best Practices Familiarity with CISA: Open-Source Software Security Familiarity with NIST SP 800-218, Secure Software Development Framework V1.1: 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 six (18) or more years) may besubstituted for a degree. Job Types: Full-time, Contract Pay: $106,255.44 - $150,000.00 per year Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance Work Location: In person