Job description
This is a remote position.
About the role:
You'll tackle problems involving distributed systems, large-scale data processing, and platform scalability while partnering with cross-functional engineering teams to build reliable, performant data infrastructure. This role is ideal for someone who is highly autonomous, thrives in fast-paced environments, and takes ownership from design through production.
What you will be doing:
● Developing and deploying scalable and elegant code
● Work with distributed systems and data pipelines
● Lead and drive projects to completion
● Innovating on creative solutions to difficult problems
● Work with related data infrastructure technologies
What we’re looking for:
● 5+ years of experience in Data Engineering, Software Engineering or a related field
● Hands on experience working with Apache Spark, Databricks, Flink, Beam, or similar large-scale data processing frameworks
● Strong programming skills in Python or any other OOP languages
● Advanced SQL skills and experience designing efficient data models
● Experience working with cloud platforms such as AWS, Azure or Google Cloud
● Experience managing infrastructure using code such as Terraform (IAAS)
Bonus Points!
Experience managing large-scale critical production systems with minimum SLAs of 4 9's
Work Location:
Remote - US - Remote work is limited to the following U.S. states:
CA, CO, GA, ID, IL, KS, MA, MD, MI, MN, NJ, NY, OH, OR, PA, RI, TX, WA
Compensation:
The standard base pay range for this role is $180,000 - $220,000 annually. This range does not include bonuses, equity, or other incentives.
What We Offer
Competitive salary and pre-IPO equity
100% company-paid medical, dental, and vision insurance (employee)
Unlimited PTO and generous leave programs
401(k), learning & development stipend, and home office setup support
Inclusive, high-ownership culture focused on impact, innovation, and growth
Equal Opportunity
Unit21 is an equal opportunity employer. We encourage candidates to apply even if they do not meet every listed requirement. We are committed to building a diverse, inclusive workforce.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.