We are looking for a highly motivated Open Source Golang Engineer to join Voltron Data’s Open Source Engineering team. On the team, you’ll have the opportunity to help support and grow several open source projects used by hundreds of companies worldwide. You will work closely with the Voltron Data team and the Apache Arrow community to help with maintaining the Apache Arrow and Parquet Golang implementations along with subprojects such as Arrow Flight and Arrow Database Connectivity (ADBC). You will also be directly involved with the community, managing GitHub pull requests, issues, and StackOverflow questions.
- Addressing high priority tasks for Golang development for ADBC, Flight RPC / Flight SQL, Substrait and apache Arrow
- Enhancing library quality and reliability
- Adding new features and APIs to improve the ease and efficiency of development on the libraries
- Answering user tickets (bugs, feature requests), helping contributors, reviewing Pull Requests
- Writing and improving prose documentation, tutorials, etc.
- Spreading Apache Arrow awareness by potentially authoring blog posts and attending conferences
Below is a rough timeline of where you can expect to be at different points during your career path starting in this position.
- Spending time learning about the Apache Arrow memory layout and Go implementation
- Familiarizing yourself with the ADBC, Arrow Flight and FlightSQL specifications
- Learning and embracing the Apache development process
- Implementing new enhancements and updates to the Arrow Flight and FlightSQL implementations
- Participating in peer code review of all PRs related to Go for the Apache Arrow and ADBC projects
- Significant experience with Golang
- Prior experience with data engineering / data science
- Familiarity and experience with crafting new APIs and implementing protocols
- Open source development practices and social dynamics
- Build systems and continuous integration
- Binary protocols, binary representation issues
- Performance profiling with Golang
- The Apache Arrow format and one or more of its implementations with significant share in the ecosystem (C++, Python, Rust, Java, etc…)
- Interoperability between Go and C++ via CGO shared libraries
US Compensation - The salary range for this role is between $150,000.00 - $200,000.00. We have a global market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the exact base pay will vary based on factors such as actual work location, skills and experience of the candidate. This position is also eligible for additional incentives such as equity awards.
• Work from Anywhere - Payroll and Benefits in 150+ Countries
• Unlimited PTO
• Medical, Dental, and Vision
• Retirement [USA Only]
• Home Office Budget
• Continuing Education Budget
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
To All Agencies: Please, no phone calls or emails to any employee of Voltron Data outside of the Talent Acquisition team. Voltron Data's policy is to only accept resumes from agencies via the Voltron Data Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Talent Acquisition team. Any resume submitted outside of this process will be deemed the sole property of Voltron Data and in the event a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid
What We Do
Voltron Data is a globally remote company focused on advancing the Apache Arrow Ecosystem. We believe in building more bridges across the ecosystem to accelerate efficient development of data tools.
