Swish Data is looking for a Databricks Engineer Level III to support implementation, adoption, data products (Hadoop, Juniper & other Enlighten-based apps) to Databricks, and long-term Center of Excellence operational support. The candidate will have a strong foundational experience in Databricks architecture and deployment patterns experience. In addition, candidate also has experience recommending and implementing best practices for efficient solution development on top of Databricks platform in both data science and data engineering domains. 1-2 days in Alexandria VA per week required.

REQUIREMENTS:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5 – 7+ years of experience as a Databricks Architect/Engineer, with a strong understanding of Databricks architecture and deployment patterns
• Deep knowledge of data science and data engineering concepts and techniques
• Proficiency in programming languages such as Python, Scala, or SQL, etc.
• Experience with big data processing frameworks like Apache Spark
• Strong problem-solving and analytical skills.
• Ability to work independently and in an integrated team-oriented environment working several integration teams such as ODA, Cloud Team, Power Apps, etc.
• Candidate to have excellent communication / collaborative skills
• Cloud AWS / Azure certification(s) related to data engineering, data warehousing or data-lake is a plus.
• Databricks certification(s) is a plus
• DoD IAT Level II certification
• Clearance Level – DoD Secrete or DHS or any agency Public Trust equivalent
  Swish Data will accept applicants until September 2024 or until the role is filled.
  Job Type: Full-time
  Pay: $150,000.00 - $175,000.00 per year

Experience:

• Databricks: 3 years (Required)

Security clearance:

• Secret (Required)

Work Location: Remot

• As a part of the team drive Databricks platform architecture development and optimize / fine-tune Databricks architecture to ensure high performance and scalability
• Implement security measures and best practices to protect data processed and stored using Databricks
• Support the team through the design, development, and deployment of Databricks solutions
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions based on the existing ecosystems
• Think out of the box and continuously improve the solution landscape by keeping up to date with the latest Databricks related technologies