Data Engineer

United States Digital Space LLC

Oulu

Hybrid

EUR 70,000 - 90,000

Full time

11 days ago

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Benefits offered by this job

Competitive salary
Lunch benefit
Wellness benefit
Flexible working hours
Wellness Time Off
Enhanced occupational health care
Personal the company Ring plusLifetime

Job summary

United States Digital Space LLC is seeking a Data Engineer to join our Research Operations team. You will build data pipelines, manage databases, and deliver data for algorithm development, collaborating with cross-functional teams to monitor ongoing studies and ensure high data quality.

We value hands-on ownership of pipelines on cloud platforms (AWS, Databricks) and experience with data visualization tools like Tableau. Flexible hours and growth opportunities are offered to help you thrive.

Qualifications

  • Bachelor’s or Master’s Degree in Computer Science, Physics, Math, or related field.
  • 3+ years of experience with Python and SQL, writing production-quality, maintainable code.
  • Experience with cloud and data platforms, especially AWS, Databricks, including hands-on ownership of pipelines or infrastructure.
  • Experience in data visualization and dashboard design (e.g., Tableau).

Responsibilities

  • Build Data Pipelines: Build and maintain data pipelines, databases, and dashboards to collect, manage, and deliver data for algorithm development.
  • Enable Current Studies: Work across teams to monitor and troubleshoot research studies in-flight.
  • Ensure Data Quality: Explore and implement automated processes to uphold data integrity.

Skills

Python
SQL

Education

Bachelor's or Master’s Degree in Computer Science, Physics, Math, or related field

Tools

AWS
Databricks
Tableau

Job description

Our mission at the company is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their the company Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for aData Engineer to join our Research Operations team! Your primary focus will be supporting our data infrastructure by building pipelines, managing databases, and creating dashboards that collect, clean, and deliver data for algorithm development. In this role, you will work closely with cross-functional teams to monitor and troubleshoot ongoing research studies, while exploring automated solutions to ensure high data quality and integrity.

What You’ll Do
  • Build Data Pipelines: Build and maintain data pipelines, databases, and dashboards to collect, manage, and deliver data for algorithm development.
  • Enable Current Studies: Work across teams to monitor and troubleshoot research studies in-flight.
  • Ensure Data Quality: Explore and implement automated processes to uphold data integrity.
What You’ll Gain
  • Practical data engineering skills across hardware, firmware, and software domains.
  • An in-depth view of the entire journey from raw data collection to algorithm development.
  • Opportunities to collaborate with and learn from world‑class engineers and researchers.
  • Experience growing into a mentorship role and shaping engineering practices for the broader team.
What We’re Looking For

We would love to have you on our team if you have:

  • A Bachelor's or Master’s Degree in Computer Science, Physics, Math, or a related field.
  • 3+ years of experience with Python and SQL, writing production-quality, maintainable code.
  • Experience with cloud and data platforms, especially AWS, Databricks, including hands‑on ownership of pipelines or infrastructure
  • Experience in data visualization and dashboard design (e.g., Tableau).
  • Adaptability within a dynamic and collaborative environment.
  • Commitment to improve processes and reduce inefficiencies.
  • Deep curiosity to dive into the details of human research studies.

We also appreciate if you have familiarity with the following:

  • Familiarity with relational and NoSQL database systems.
  • Exposure to multi‑modal and sensor data.
  • Experience with collaborative code tools (e.g., Git), including reviewing others’ code and upholding engineering best practices.
  • Familiarity with AI‑assisted development tools and workflows (e.g., Copilot, Claude Code, or similar)
What We Offer:

At the company, we care about you and your well‑being. Everyone here at the company has a ring of their own and we are continually looking to improve employee health.

Benefits:
  • Competitive salary
  • Lunch benefit
  • Wellness benefit
  • Flexible working hours
  • Wellness Time Off
  • Enhanced occupational health care
  • Personal the company Ring plus lifetime membership

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at the company are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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