Data Engineer

Data Engineer

at Uptake (View all jobs)

Remote

What We Do:

Uptake is the premier Industrial AI company, providing a predictive analytics SaaS platform that empowers major industry leaders to optimize performance, reduce asset failures, and enhance safety. At Uptake, we combine our strengths — machine learning, analytics, data visualization, and software development — to deliver actionable insights that make the industry more reliable, productive, safe, and secure.

What You’ll Do:

As a Data Engineer on Uptake’s Delivery Hosting team, you'll work with Uptake's cross-functional Delivery practice & Product teams which include data scientists, product owners, engineers, and customer success managers, as well as interface directly with a team of offshore engineering resources.

Key Responsibilities:

• Design and implement data ingestion workflows, real-time ETL and batch processing of data to support data science models
• Work with customer success/support teams and with data science teams to develop data expertise and resolve issues relating to data quality
• Define best practices and design for the management of data
• Partner with Data Scientists to build and maintain internal data modeling, processing and visualization tools
• Translate requests from customers to technical solutions for data
• Collaborate with the product team for writing stories, with offshore team members to guide and direct them. Own data ingestion for Uptake.

Qualifications:

• 2+ years experience working as a Data Engineer
• Ability to write efficient SQL queries
• Ability to architect data solutions
• Experience managing data ETL processes and making data available through service applications and databases.
• 1+ years experience with NoSQL databases
• 3+ years experience with programming languages (Python (preferred), Java, and/or Scala)
• Familiarity with a variety of data processing technologies
• Ability to debug data-related issues quickly and fix them efficiently.
• Excellent communication skills, including documentation
• Experience with REST APIs and making data available through microservices.
• Experience using version control (Git, Mercurial, SVN, etc.) for collaborative code development.
• Familiarity with of microservice architecture and Docker