---
title: 'Data Engineer at Remedyproductstudio'
canonical: 'https://feeny.ai/job/data-engineer-remedyproductstudio-poland-rekfs4tzdwt2'
type: 'job'
last_seen: '2026-09-11'
---

# Data Engineer at Remedyproductstudio

- **Company:** Remedyproductstudio
- **Location:** Poland
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2023-09-28
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/remedyproductstudio/49258ac7-eb96-416e-a6ee-7e5dd67cd632

## Job description

## Who we are

Product Strategy. Technology Execution. Launch. Investment.

Remedy Product Studio is a rapidly scaling technology company specializing in working with and investing in prominent start-ups and brands in building and scaling their digital products. We use data-driven agile approaches coupled with high performing teams as a cornerstone of our technology-first culture.

We partner with startups to strategize, execute, launch, and invest in digital products, including web apps, mobile apps, data science tools, and firmware for connected devices.

We believe that people make a great company, and that's why we want you to join us!!!

Who we're looking for

As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and storage solutions. You will work closely with product managers, engineers, and analysts to ensure efficient data workflows and enable data-driven decision-making. The ideal candidate has a strong background in data engineering, with expertise in AWS and a familiarity with GCP or Azure as a plus.

## What you will do

- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
- Optimize data storage, processing, and retrieval using cloud-based technologies, with a strong focus on AWS.
- Work with structured and unstructured data across various databases and data lakes.
- Ensure data integrity, security, and compliance with industry standards.
- Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives.
- Monitor and improve data infrastructure performance, ensuring reliability and scalability.
- Implement best practices for data governance, quality, and observability.
- Develop and maintain robust data injection processes to ensure seamless data flow across systems.
- Design and optimize data models to support analytical and operational use cases.

What should your qualifications be

- 5+ years of experience in data engineering or a related field.
- Strong expertise in AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda, Kinesis, etc.).
- Experience with big data technologies such as Apache Spark, Apache Airflow, or similar tools.
- Strong knowledge of SQL and data modeling, schema design.
- Strong hands-on experience in Python
- Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
- Fluent English (B2) with both written and spoken skills used for clear and active communication with native speakers

Nice to Have:

- Experience with real-time data streaming and event-driven architectures.
- Exposure to machine learning workflows and MLOps practices.
- Knowledge of security and compliance standards in data engineering.
- Experience with GCP or Azure is a plus (BigQuery, Databricks, Azure Data Factory, etc.)

## Benefits

- Compensation Package
- Vacation leave of 20 working days
- 4 sick days per year
- Personal Growth
- Career and professional growth
- Access to senior engineers for help and mentorship
- English classes with on-staff teachers
- English clubs where you can polish your skills together with teammates
- Other Perks
- Possibility for working remote or in coworking space
- Macbook provided by company as a working environment
- Work environment based on collaboration and teams
- Team building events on team and group level
- Sponsored company outings and social events

## About Remedyproductstudio

## Company Overview
- **One-liner**: Remedy Product Studio provides embedded product engineering and technical expertise at scale, partnering with growth-stage and enterprise companies to design, build, and scale digital products in regulated industries.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: New York, New York, United States
- **Founded**: 2012
- **Founders**: Oleg Krook, Igor Faybyshev, Iggy Moliver

## Core Business
- Primary industry/industries: IT Services and IT Consulting, with deep specialization in healthcare, fintech, commerce, and connected hardware/IoT.
- Target customers: B2B – Seed to Series C startups, as well as enterprise clients seeking embedded technical teams. Partners include ClassPass, HealthReveal, H1 Insights, Sommsation, Ash, and Caraway Health.
- Mission or purpose: “Become true and trusted technical partners that join teams, drive roadmaps, and own outcomes.”

## Products & Services
- **Embedded Product Engineering**: Cross-functional teams (product managers, full-stack and data engineers, DevOps, QA, UX/UI designers) that work exclusively with a single partner, joining standups and owning sprints.
- **AI Solutions**: Predictive analytics, automated workflows, and intelligent search with compliance guardrails built in.
- **Data & ML**: HIPAA-compliant data lakes, scalable infrastructure, end-to-end ML systems, and LLM-ready AI enablement.
- **Architecture & Compliance**: Systems built with SOC 2, PCI, HIPAA, and FDA requirements from day one.
- **Payments**: Card issuing, ACH/RTP/wire processing, optimized for latency, reliability, and reconciliation.
- **Web & Mobile Products**: Intuitive experiences for patient portals, broker dashboards, consumer marketplaces, etc.
- **Venture Arm**: Invests in Seed and Series A rounds alongside partners, putting “real skin in the game.”

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company).
- **Key Metric**: Partners have collectively raised over $1B and achieved multiple high-profile exits. Average partnership lasts 3+ years.
- **Notable Investors/Partners**: Partners’ investors include Google Ventures, Greycroft, and Serena Ventures. Remedy also has a venture arm that invests in portfolio companies.
- **Growth Signals**: The company reports a 15% year-over-year growth in LinkedIn followers, though headcount declined 30% YoY (to 67 employees). It operates offices in the US, Belarus, Poland, and Colombia, and has a distributed workforce spanning 10 countries.

## Competitive Advantages
- **Senior from day one**: No junior engineers; teams consist of experienced product engineers who have built and scaled products in regulated industries.
- **Embedded, not outsourced**: Teams join partner standups, take ownership of sprints, and are accountable for outcomes, not ticket completion.
- **Speed without compromise**: Teams ready in under 30 days; AI-accelerated delivery while maintaining compliance guardrails.
- **Long-term alignment**: Average partnership is 3+ years, aligning incentives through multi-year relationships and a venture arm that invests in partners.
- **Deep compliance expertise**: HIPAA, PCI, SOC 2, and FDA requirements are built into every engagement from the start.

## Strategic Focus
- Continued expansion in healthcare, fintech, and commerce verticals, with emphasis on AI-native product delivery.
- Growing the venture arm to invest in more Seed and Series A companies.
- Leveraging AI to accelerate development timelines and reduce administrative overhead for partners.
- Maintaining a distributed, cross-continental team model to access global talent.

## Why Work Here
- **Culture**: “Embedded, not outsourced” – employees are treated as true partners within client teams, with a focus on ownership and business outcomes.
- **Work environment**: Distributed workforce across 10 countries; offices in New York, Minsk, Warsaw, and Medellín. Likely hybrid or remote-flexible depending on role.
- **Engineering culture**: Cross-functional, product-led teams using a unique agile methodology. Emphasis on deep technical depth and industry know-how. No junior engineers – every hire is senior from day one.
- **Career growth**: Opportunities to work on high-stakes, regulated products with top-tier startups and venture-backed companies. Average tenure of partnerships (3+ years) suggests stability and long-term relationship building.
- **Employee ratings**: 3.6/5 overall (13 reviews) on LinkedIn, with work-life balance scored 4.4, compensation 3.8, culture 3.9, and career 3.6.

## Sources
1. [remedyproduct.com](https://remedyproduct.com/)
2. [remedyproduct.com/about](https://remedyproduct.com/about/)
3. [linkedin.com/company/remedyproduct](https://linkedin.com/company/remedyproduct)
4. [builtin.com/company/remedy-product-studio](https://builtin.com/company/remedy-product-studio)
5. [theorg.com/org/remedy-product-studio](https://theorg.com/org/remedy-product-studio)

## Other roles at Remedyproductstudio

- [Full Stack Engineer  (Python, Javascript)](https://feeny.ai/job/full-stack-engineer-python-javascript-remedyproductstudio-brazil-dmjgfmxqtwhx) — Brazil
- [Product Designer](https://feeny.ai/job/product-designer-remedyproductstudio-brazil-nwfcx4tt2x52) — Brazil
- [Product Manager](https://feeny.ai/job/product-manager-remedyproductstudio-brazil-zj8ka5bana3g) — Brazil
- [Backend Engineer (Python)](https://feeny.ai/job/backend-engineer-python-remedyproductstudio-brazil-n42y21tjdxye) — Brazil
- [Mobile Engineer (Flutter)](https://feeny.ai/job/mobile-engineer-flutter-remedyproductstudio-poland-qzegvw8rhb5t) — Poland
- [Data Engineer](https://feeny.ai/job/data-engineer-future-processing-gliwice-f8cp0tctfjmd) — Gliwice, Poland
- [Data Engineer](https://feeny.ai/job/data-engineer-oxylabs-vilnius-zaj01zcyf0kq) — Vilnius, Lithuania
- [Data Engineer](https://feeny.ai/job/data-engineer-centerfield-los-angeles-dea9e54mc8jk) — Los Angeles, CA
- [Data Engineer](https://feeny.ai/job/data-engineer-wynd-labs-remote-za2c14y2h3e5)
- [Data Engineer](https://feeny.ai/job/data-engineer-fanduel-new-york-sgsnta6t8jzb) — New York, NY