Full-Stack Data Platform Engineer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Not enough information in this posting — confirm with the employer
Checked for applicants in Uruguay; employer sponsorship is needed. Based on the source posting · not a hiring or work-authorization guarantee.
Visa sponsorship is not specified.
Why this result?
2 supporting signals
- The stated geographic scope includes your country.
- The role is described as remote; geographic restrictions still apply.
1 still unclear
- Visa sponsorship is not specified.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
2 with evidence7 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Geographic scope
- CA, Europe, LATAM
“Provider location: Europe • Provider location: Latin America • Provider location: Canada”
From employer posting metadata - Employment type
- FullTime
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
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We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence — powering analytics, workflow insights, and economic modeling.
What you’ll do
Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar).
Develop and optimize ETL pipelines to ingest data from APIs and internal systems.
Model and manage datasets to support flexible analytics and product features.
Collaborate with engineering team to improve data mining and analytics performance.
Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights.
Ensure data reliability, cost efficiency, and performance optimization across environments.
Implement event-based pipelines for real-time analytics and reporting.
Contribute to data governance, privacy, and security best practices.
Who you are
Experienced in data warehouse architecture and scalable analytics infrastructure.
Strong with SQL, data modeling, and pipeline performance optimization.
Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.
Capable of balancing technical depth with real-world impact — you build systems people actually use.
Comfortable navigating tradeoffs between cost, scalability, and complexity.
Curious about how data translates into insights, decisions, and automation.
Bonus points
Experience with Python for analytics and data wrangling.
Familiarity with AI/ML-driven analytics or predictive modeling.
Exposure to real-time or streaming data architectures.
Understanding of data governance, compliance, and secure cloud operations.
Why join
You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. You’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high-impact technical role that sits at the intersection of scale, performance, and strategy.
We’re open to part or full-time. Ideal for builders who care about performance and precision at scale.
Compensation:
We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.
Matched by role category. Review each posting’s requirements before applying.
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These collections reflect applicant location statements, not authorization or citizenship.