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Staff Data Engineer
Staff Data EngineerBetterup • United States (Hybrid), United States (Hybrid), United States
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Staff Data Engineer

Staff Data Engineer

Betterup • United States (Hybrid), United States (Hybrid), United States
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  • [job_card.full_time]
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Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer / employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include : Austin, TX; Chicago, IL; New York City, NY; San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, NL. Please ensure you can realistically commit to this structure before applying.

As a Senior Data Platform Engineer at BetterUp, you will have the opportunity to leverage your expertise, passion, and drive to craft robust, scalable data systems which will directly impact the lives and well being of thousands of workers across the world. BetterUp is the global leader in virtual professional coaching, combining world-class coaching with AI technology and behavioral science to deliver personalized behavior change at scale. Our mission is to help people everywhere live with greater clarity, purpose, and passion and since our founding in 2013, we have pioneered transformation and peak performance for individuals and organizations.

You will be joining a small team responsible for architecting, building, and maintaining the scalable, enterprise-grade data systems that power our data products and capabilities. You’ll straddle the worlds of DataOps, MLOps, and Infrastructure, enabling both the next generation of analytics functionality and an AI Platform to fuel our AI-driven product innovation.

You will work with stakeholders across the business, understanding their data problems and ultimately unlocking data enablement through centralized standardization of tooling and processes, all with enterprise-grade best practices in mind for security, privacy, and governance. You will deliver high-quality, systems-oriented technical solutions which are both fit for today and ready for tomorrow.

If the idea of having real impact from your work, of giving people the platform to unlock true personal growth and transformation deeply resonates with you, and if you have a core belief that a strong data foundation is fundamental to building great products, come talk to us!

What you’ll do :

Architect, build, and maintain data systems that are delivering on end customer value

Centralize and standardize data collection, data transformation and analysis, data storage, and data serving approaches and processes

Support our ML / GenAI teams and functionality with platform capabilities for data delivery, processing, and infrastructure

Support our reporting and analytics teams in delivering both internal and customer-facing business insights

Stay current with emerging technologies and trends in a fast-evolving tech nology ecosystem

Operationally managing our data infrastructure, vendors, tooling, and processes

If you have some or all of the following, please apply :

7+ years of experience in data platform engineering, data infrastructure, or related technical roles

Strong programming background (e.g. Python)

Operational maturity (e.g. CI / CD systems, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security and privacy best practices, etc.)

Experience in building and maintaining analytics stacks (e.g. Snowflake, dbt, Looker)

Running GenAI / ML systems in production (e.g. MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)

Architecting data systems (e.g. Airflow, Kafka, general system design)

AI at BetterUp

Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.

Benefits :

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member

A competitive compensation plan with opportunity for advancement

Medical, dental, and vision insurance

Flexible paid time off

Per year :

All federal / statutory holidays observed

4 BetterUp Inner Workdays ( https : / / www.betterup.co / inner-work )

5 Volunteer Days to give back

Learning and Development stipend

Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp

401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education / training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for the role is as follows :

$208,000 - $286,000 : New York City and San Francisco

$187,000 - $257,000 : All other locations

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice . If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to support@betterup.co

#LI-Hybrid

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Staff Data Engineer • United States (Hybrid), United States (Hybrid), United States

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