Senior Palantir Developer at Logic2020 Inc
Seattle, WA 98134, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Sep, 25

Salary

151000.0

Posted On

11 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Company Description
We’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.
Job Description
As a Data Engineer joining Logic20/20’s Advanced Analytics practice, you’ll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation.
You’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals.
You will work closely with your team, including analysts, dashboard developers, and technical project managers to design solutions and work together to deliver a world-class solution.
You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for a future state.

Responsibilities
  • Design and develop cloud ELT and data pipelines
  • Develop CI/CD pipelines and other DataOps fundamentals
  • Communicate at the appropriate level to both business and technology teams to understand business needs and pain points
  • Be creative in meeting the client’s core needs with their technology
  • Explain technical benefits and deficits to non-technical audiences
  • Learn new data tools and best practices
    Qualifications
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