Remote Otter LogoRemoteOtter

Data Engineer - Remote

Posted 3 days ago
Software Development
Full Time
USA

Overview

As a Data Engineer at Basis Technologies, you will play a key role in creating the best developer experience for data and application engineers by implementing and maintaining deployment and ETL pipelines for data products.

In Short

  • Integrate diverse data sources and vendor products for analytical and operational use.
  • Automate repetitive and complex ETL deployment tasks.
  • Implement monitoring solutions for data pipeline performance.
  • Ensure code quality through reviews and adherence to best practices.
  • Develop, deploy, and maintain scalable data pipelines.
  • Participate in the team's support rotation.
  • Adhere to established development and CI/CD practices.

Requirements

  • 2+ years of relevant experience in data engineering.
  • Strong programming skills in Python or Java.
  • Proficiency with SQL and relational databases.
  • Experience with Snowflake services.
  • Familiarity with CI/CD engines like Jenkins.
  • Experience with source control systems (Git).
  • Ability to work independently and manage multiple tasks.
  • Commitment to creating inclusive environments.

Benefits

  • Flexible work options including remote, hybrid, or on-site.
  • Opportunity to work with cutting-edge technology.
  • Supportive and inclusive company culture.
Basis Technologies logo

Basis Technologies

Basis Technologies is a leading provider of innovative software solutions that automate digital media operations for agencies and brands. With a comprehensive all-in-one platform, the company facilitates seamless planning, reporting, and financial reconciliation across various digital channels, including direct, programmatic, search, and social media. Headquartered in Chicago, Basis Technologies fosters a culture of inclusivity and growth, empowering passionate individuals to drive meaningful change. The company offers flexible work options across the U.S. and Canada, including remote, hybrid, and on-site opportunities, while its Business Intelligence & Data Operations team focuses on leveraging big data to enhance decision-making and solve complex business challenges.

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