Remote job
Data Engineer (Spark)
Job details
About this role
Role overview
Join a data engineering team building and improving modern, large-scale data platforms. This remote role focuses on using Apache Spark and Databricks to help organizations scale their big-data infrastructure, solve demanding data and platform problems, and deliver production-ready solutions for both established enterprises and startups.
Responsibilities
- Design, build, and improve modern data-platform capabilities using Apache Spark and related technologies. - Help customers scale big-data infrastructure to support substantial workloads. - Investigate and resolve complex data-engineering and infrastructure challenges. - Develop practical solutions for mission-critical systems operating at significant scale. - Explore and apply emerging technologies and methods across the data-engineering ecosystem. - Participate actively in creating innovative solutions rather than limiting the work to routine implementation.
Requirements
- Strong professional background in data engineering. - Hands-on experience with Apache Spark and/or Databricks. - Ability to work on complex data and infrastructure problems at scale. - Strong problem-solving skills and an interest in modern data-platform engineering. - Capacity to contribute independently while collaborating on technically ambitious projects.
Benefits and work setup
- Full-time, remote position. - Exposure to a range of large-scale data-platform projects and varied customer environments.