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Senior Data Engineer

Remote · USA Full-time New today

About LearnLux

LearnLux is the leading provider of workplace financial wellbeing that blends fiduciary digital planning with access to one-on-one guidance from Certified Financial Planner™️ professionals. LearnLux's award-winning program equips employees with a financial plan to guide them through decision points like budgeting, paying down debt, electing benefits, understanding equity compensation, starting a family, buying a home, saving for retirement, and more. Advanced reporting keeps our partners in the know, and drives results like reduction in financial stress, increased productivity, reduced employee turnover, greater use of pretax products, on-time retirement, and healthcare savings. LearnLux members feel great about their money, allowing their work and wellbeing to thrive. 

We’re a remote-first company, backed by prominent investors such as Ashton Kutcher’s fund Sound Ventures and Salesforce CEO Marc Benioff.

The Role

As a Senior Data Engineer at LearnLux, you’ll shape a data ecosystem that empowers every team to make smarter decisions. This high-impact, cross-functional role is our first Data Engineer hire and will blend engineering with analytics, visualization, and storytelling. You’ll build and own scalable data pipelines, power self-serve dashboards, and guide strategic insights that support everything from Product to Client Success.

Your work will influence both internal operations and product experiences, leveraging machine learning, LLMs, and generative AI to drive personalization and impact for our members. You’ll help define LearnLux’s data strategy, champion best practices, and shape a data-driven culture across the company.

This role is 100% remote within the US and reports to the Head of Engineering.

Key Responsibilities
  • Own the end-to-end delivery of data solutions from ingestion to modeling, visualization, and analysis
  • Build and maintain Airflow DAGs that ingest, transform, and validate data in our Google Cloud-based data lake and warehouse
  • Evolve our data infrastructure, including Google Cloud Storage and BigQuery environments
  • Design thoughtful dashboards and reporting tools to surface insights company-wide
  • Enable self-serve analytics by partnering with Product, Marketing, Sales, and Client Success
  • Implement scalable data patterns, documentation, and monitoring strategies
  • Act as subject matter expert on data infrastructure, quality, and governance
  • Collaborate on experimentation frameworks and A/B testing for actionable product insights
  • Share knowledge and support teammates through technical discussion and pairing
Qualifications & Experience
  • 5+ years of experience in data engineering, analytics, or related roles, with a track record of delivering end-to-end solutions
  • Expertise with Apache Airflow and DAG development
  • Mastery of SQL and enthusiasm for clean, maintainable data models
  • Product-minded with a focus on actionable insights and real-world impact
  • Experience leading cross-functional projects and collaborating with technical and non-technical partners
  • Strong communication, documentation, and problem-solving skills
  • Passion for mentorship and a collaborative, mission-driven mindset
Benefits
  • Remote-first company structure
  • Medical, dental, and vision
  • 401(k)
  • Mental wellbeing (Talkspace)
  • Financial wellbeing (LearnLux)
  • Equity (Full-time employees)
  • Paid vacation and sick leave
  • Paid sabbatical after 5 years of service
  • A supportive, inclusive team culture
  • Opportunities for continuous learning and growth at a fast-growing startup at the cutting edge intersection of financial wellness and technology
Closing

LearnLux strives to be an inclusive workplace and values learning from and engaging across different perspectives. Women, people of color, LGBTQIA+ individuals, and members of other minority or marginalized groups are strongly encouraged to apply.

LearnLux is proud to be an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, color, national origin, age, religion, sex, gender, sexual orientation, gender identity, marital status, disability, or veteran status.

We are committed to fostering an environment that embraces diversity and inclusion and are seeking candidates from a variety of backgrounds, experiences, abilities, and perspectives to join our team. If you are interested in this opportunity but not sure if you fit this role, please apply and include a note to let us know of your interest. We’re excited to speak with you about joining our team!

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