Data Engineer

🔥 We’re looking for a highly skilled Data Expert!🔥

Product | Remote

About the role

We’re looking for an experienced Data Engineer to bring structure, reliability, and governance to our data ecosystem.

This is a hands-on, ownership-focused role where you will take full responsibility for ensuring that our data is consistent, trustworthy, and actionable.

Your main mission will be to stabilize and improve existing pipelines, enforce data standards, and maintain reliable datasets for analytics and business decisions. You’ll play a key role in shaping how teams trust and use data across the organization.

What you’ll do

• Build and maintain data pipelines and ETL processes
• Design and optimize data models for analytics and reporting
• Work with event-driven architectures and standards like AsyncAPI and CloudEvents
• Collaborate with engineers to improve data quality, consistency, and governance
• Use observability and tracing tools (e.g., OpenTelemetry) to monitor and improve performance
• Build and maintain datasets for analytics and reporting

You’re a great fit if you have 

• 5+ years of commercial experience, including 3+ years in data engineering
• Experience leading or significantly improving data governance processes
• Experience with data migrations in production
• Strong SQL and data modeling skills
• Familiarity with columnar or analytical databases (ClickHouse, Postgres, etc.)
• Understanding of observability, monitoring, and validation of data pipelines
• Ability to audit systems independently and identify weak spots
• Strong attention to detail and clear communication skills
• English proficiency: Upper-Intermediate or higher

Nice to have

• Exposure to BA tooling or visualization platforms
• Familiarity with Node.js / React / JavaScript / TypeScript 

How we’ll know you’re doing a great job

• Data pipelines are trusted, observable, and performant
• Metrics and dashboards are used across teams — not just built once
• Teams make better product decisions faster because of your insights
• Data pipelines are trusted, observable, and performant
• You’re the go-to person for clarity when questions arise about “what the data says”

About Redocly

Redocly builds tools that accelerate API ubiquity. Our platform helps teams create world-class developer experiences — from API documentation and catalogs to internal developer hubs and public showcases. We're a globally distributed team that values clarity, autonomy, and craftsmanship. You'll work alongside people who love developer experience, storytelling, and building tools that make technical work simpler and more joyful.

Headquarter – Austin, Texas, US. There is also an office in Lviv, Ukraine.

Redocly is trusted by leading tech, fintech, telecom, and enterprise teams to power API documentation and developer portals. Redocly’s clients range from startups to Fortune 500 enterprises.

https://redocly.com/

Working with Redocly

• Team: 4-6 people (middle-seniors)
• Team’s location: Ukraine&Europe
• There are functional, product, and platform teams and each has its own ownership, and line structure, and teams themselves decide when to have weekly meetings.
• Cross-functional teams are formed for each two-month cycle, giving team members the opportunity to work across all parts of the product.
• Methodology: Shape Up

Perks

• Competitive salary based on your expertise 
• Full remote, though you’re welcome to come to the office occasionally if you wish.
• Cooperation on a B2B basis with a US-based company (for EU citizens) or under a gig contract (for Ukraine).
• After a year of working with the company, you can buy a certain number of company’s shares
• Around 30 days of vacation (unlimited,  but let’s keep it reasonable)
• 10 working days of sick leave per year
• Public holidays according to the standards
• No trackers and screen recorders
• Working hours – EU/UA timezone. Working day – 8 hours. Mostly they start working from 10-11 am
• Equipment provided – MacBooks (M1 – M4)
• Regular performance reviews

Hiring Stages

• Prescreening (30-45 min)
• HR Call (45 min)
• Initial Interview (30 min)
• Trial Day (paid)
• Offer

If you are an experienced Data Scientist, and you want to work on impactful data-driven projects, we’d love to hear from you! 

Apply now to join our team!