Jobs · Full-time

Senior Data Engineer at Welltech - Remote Worldwide — Columbus

LocationColumbus
CompanyWelltech
Sourceweworkremotely
Posted2026-09-03 01:34:48

Traveler-Friendly Insight

Fully remote, worldwide: Welltech explicitly lists this role as open to candidates "Anywhere in the World," making it one of the more genuinely location-independent senior engineering positions available. No specific timezone window is stated in the posting, but collaborating with hubs in Cyprus (EET/EEST), Ukraine, Poland, Spain, and the UK suggests a soft preference for European or overlapping timezone availability (roughly UTC+0 to UTC+3). Pure APAC-based nomads may find async coordination challenging for real-time meetings.

Async friendliness: The role emphasizes written collaboration with analysts and product managers, CI/CD automation, and pipeline-driven workflows — all signals that much of the work is naturally async. However, a 3-stage interview process suggests synchronous video calls will be needed during hiring.

Visa considerations: With no country restriction, popular nomad-visa destinations work well here:

  • Portugal (D8 Nomad Visa): €760/month threshold — very achievable for a senior engineer. Lisbon/Porto cost roughly $2,000–$2,800/month for comfortable living.
  • Thailand (LTR Visa or tourist stays): Chiang Mai or Bangkok runs $1,000–$1,800/month — excellent runway even without a disclosed salary.
  • Colombia (Digital Nomad Visa): Medellín averages $1,200–$1,800/month. The visa requires ~$684/month income — easily met at senior engineer rates.

No equipment stipend, coworking allowance, or travel perks are mentioned in the posting — worth clarifying in the recruiter call.

Headquarters: Cyprus
URL: http://welltech.com

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You'll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You'll Meet:

  • Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.

  • Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.

  • Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.

  • Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.

  • Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.

  • Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.

  • Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.

  • Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required Skills:

  • 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.

  • 2-3+ years of experience working with AWS services (Administration of Redshift is a must).

  • Solid experience with AWS services: Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS.

  • Proficient in Python and SQL for data transformation and automation.

  • Experience with dbt for data modeling and transformation.

  • Good understanding of streaming architectures and micro-batching for real-time data needs.

  • Experience with CI/CD pipelines for data workflows (preferably GitLab CI).

  • Familiarity with event schema validation tools/solutions (Snowplow, Schema Registry).

  • Excellent communication and collaboration skills. Strong problem-solving skills — able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.

  • A growth mindset — enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You'll Work With:

  • Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)

  • Languages: Python, SQL

  • Orchestration: Airflow (MWAA)

  • Modeling: dbt

  • CI/CD: GitLab CI (including GitLab administration)

  • Monitoring: Datadog, Grafana, Graylog

  • Event Validation: Iglu schema registry

  • APIs & Integrations: REST, OAuth, webhook ingestion

  • Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

  • Experience with additional AWS services: EMR, EKS, Athena, EC2.

  • Hands-on knowledge of alternative data warehouses like Snowflake or others.

  • Experience with PySpark for big data processing.

  • Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).

  • Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.

Candidate Journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

Check out some of our products:

Muscle Booster — https://musclebooster.fitness/

Yoga-Go — https://yoga-go.io/

WalkFit — http://walkfit.pro

To apply: https://weworkremotely.com/remote-jobs/welltech-senior-data-engineer-redshift

Frequently Asked Questions

Is this Senior Data Engineer role truly open to candidates anywhere in the world?
Yes, Welltech lists this position as open to candidates "Anywhere in the World." However, given that company hubs are in Cyprus, Ukraine, Poland, Spain, and the UK, some timezone overlap with European hours may be expected for collaboration.
What is the interview process for this role?
The candidate journey consists of three stages: a recruiter call, a technical call with the hiring manager, and a final meeting with future stakeholders.
Is AWS Redshift administration experience truly mandatory?
Yes, the posting explicitly states that "Administration of Redshift is a must" as part of the 2-3+ years of AWS services experience requirement.
What is the salary for this Senior Data Engineer position?
No salary range is disclosed in the job posting. Candidates are encouraged to discuss compensation during the recruiter call.
What programming languages are required for this role?
Proficiency in Python and SQL is required. PySpark experience is listed as a nice-to-have bonus skill.
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