Senior Data Engineer - Databricks at Steampunk
McLean, VA 22102, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

180000.0

Posted On

04 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Integration, Data Marts, Pipelines, Enterprise Architecture, Cloud, Software Development, Data Products, Reliability, Scalability, Sql, Customer Service Skills, Aws

Industry

Information Technology/IT

Description

Overview:
In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.
At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.
For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
Contributions:

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more than just a “Senior Data Engineer”, but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

  • Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
  • Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
  • Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets – Databricks, SQL, PySpark/Python, AWS
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications:

Responsibilities

Please refer the Job description for details

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