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Senior Data Engineer

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.

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. 

As a Data Engineer at BetterUp, you will be joining a small team responsible for the data systems that power everything from operational efficiency of the business, to personalized product experiences, to cutting-edge behavioral research and organizational analytics. You will be responsible for the end-to-end implementation of the data stack, building a platform that makes it easy for teams to define and ingest datasets, transform that data, and access that data for use cases like analytics and powering AI systems with enterprise-grade best practices for security, privacy, and governance.

There is a strong focus on infrastructure and technical processes, unlocking enablement through standardization. You will be directly responsible for working with stakeholders around the business to ensure their data needs are met, define data strategies, implement data systems, and help infuse data into transformational experiences. 

You will be responsible for deeply understanding data problems, crafting a technical strategy to address those problems, then delivering high-quality technical solutions which are fit for today, and ready for tomorrow. If you live and breathe data, write SQL in your sleep, appreciate pretty Python scripts, and want to help deliver the best of the world’s next generation GenAI solutions, join us! 

Key Responsibilities:

  • Data Architect: Design, assemble, and maintain large, complex datasets to deliver business insights and power product experiences.

  • Data Advocate: Promote data-driven decision-making and develop cross-functional data-oriented solutions.

  • Data Protector: Build reliable, scalable data infrastructure with advanced privacy and security techniques to safeguard data.

  • Data Engineer: Manage the end-to-end data stack, including event collection, data governance, data integrations, and modeling.

  • Data Custodian: Ensure data consistency and quality through metrics, documentation, processes, data testing, and training.

  • Data Enabler: Create tooling and processes to make data available to customers, internal and external, in order to build data / AI products.

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

  • 10+ years of relevant experience, including experience in a startup environment.

  • Advanced knowledge of MLOPs / AIOps approaches, tooling, and best practices (e.g., MLflow, Kubeflow, SageMaker, VertexAI, Seldon, BentoML).

  • Proficiency with OLAP databases (e.g., Snowflake, Big Query, Redshift).

  • Advanced knowledge of SQL and experience with modern SQL orchestrators like dbt.

  • Hands-on experience developing data pipelines using tools such as Airflow, AWS Step Functions, Dagster, Prefect, Stitch Data, Fivetran, Airbyte.

  • Experience with event streams and stream processing technologies (e.g., Kafka, Spark, Databricks, Segment).

  • Experience in decoupling transactional or source systems from business intelligence reporting (e.g., dimensional modeling).

  • Proficiency in Python for creating high-quality, fast workflows and web servers.

  • Familiarity with modern business intelligence and product reporting tools (e.g., Looker, Tableau, Superset, Periscope).

  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

  • Expertise in general operational maturity (e.g. CI/CD, Infrastructure as Code, monitoring, distributed systems, etc.)

  • Demonstrable interest in the evolving ecosystem of GenAI tools and platforms.

  • Experience working with high performance full-stack web developers is a plus.

What will make you successful in your time at BetterUp: 

  • Radical curiosity and a love for learning new things.

  • Strong problem-solving skills with a strategic mindset.

  • Ability to work autonomously while being great at collaboration.

  • Passion for BetterUp’s mission and a demonstrated ability to mentor and lead with empathy, passion, and wisdom.

  • Ability to navigate complex technical challenges, ensuring robust, flexible solutions that align with BetterUp’s long-term vision.

  • Experience bridging the gaps between data science, engineering, operations, security,  and product teams.

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

  • Full coverage for medical, dental and vision insurance

  • Employer Paid Life, AD&D, STD and LTD insurance

  • Flexible paid time off

  • Per year: 

  • Holiday charitable contribution of your choice on behalf of BetterUp

  • 401(k) self contribution

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 this role is $152,000 – $200,000.

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

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Average salary estimate

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$152000K
$200000K

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What You Should Know About Senior Data Engineer, BetterUp

At BetterUp, we’re on the lookout for a Senior Data Engineer who is ready to make a meaningful impact! If you have a passion for crafting dynamic data systems that empower people to live better lives, this is your opportunity. In this role, you will be at the forefront of building robust data infrastructures that support our mission of human transformation. You’ll collaborate with a small but dedicated team, focusing on implementing data solutions tailored to diverse needs across the organization. As a Senior Data Engineer, your expertise will help us streamline data processes, ensuring that every stakeholder has the tools they need for data-driven decision-making. You’ll design and maintain intricate datasets, advocating for data consistency and security while enabling easy access to insights. If SQL is second nature to you and you dream in Python, you'll thrive in our innovative environment. We value curiosity and a strategic mindset—qualities that will drive your success as you tackle complex technical challenges and transform them into streamlined solutions. This isn't just another job; it’s a chance to leverage your skills in a collaborative culture driven by passion and purpose. If you've got the experience and are excited about the opportunity to help shape the future of professional coaching through data, we can’t wait to hear from you!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at BetterUp
What are the key responsibilities of a Senior Data Engineer at BetterUp?

As a Senior Data Engineer at BetterUp, your key responsibilities will include designing and maintaining large datasets for business insights, managing the end-to-end data stack, and promoting data-driven decision-making across the company. You will also ensure data quality and security, build reliable data infrastructure, and create processes to enhance data availability for both internal and external customers.

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What experience is required for the Senior Data Engineer position at BetterUp?

To be considered for the Senior Data Engineer position at BetterUp, you should have at least 10 years of relevant experience, preferably in a startup environment. Candidates should possess advanced knowledge of MLOps, proficiency with OLAP databases, and hands-on experience with data pipeline development. Familiarity with modern business intelligence tools and a solid understanding of SQL and Python are also essential.

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How does BetterUp support professional development for Senior Data Engineers?

BetterUp is committed to the growth of its employees, including Senior Data Engineers. We provide access to personal coaching and development plans tailored to individual career goals. Additionally, employees receive a learning and development stipend to further enhance their skills and knowledge. These resources ensure that our engineers can stay current with the rapidly evolving data landscape.

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What technologies should a Senior Data Engineer at BetterUp be familiar with?

A Senior Data Engineer at BetterUp should be familiar with a range of technologies including OLAP databases like Snowflake and Big Query, as well as data pipeline tools such as Airflow and Fivetran. Experience with event streaming technologies like Kafka, along with proficiency in SQL and Python, is also crucial for success in this role. Familiarity with cloud platforms and containerization tools is a plus.

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What qualities make a successful Senior Data Engineer at BetterUp?

Successful Senior Data Engineers at BetterUp are characterized by their radical curiosity, strong problem-solving skills, and ability to work independently while fostering collaboration. A passion for our mission and a commitment to mentoring others with empathy are vital. Moreover, the ability to navigate complex technical challenges and align solutions with our long-term vision are key to thriving in this role.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with data pipeline development as a Senior Data Engineer?

In answering this question, provide examples of specific data pipelines you have developed, the tools you used, and the impact those pipelines had on your previous organization. Highlight your familiarity with tools like Airflow or Fivetran, and explain your approach to ensuring data integrity and performance throughout the pipeline.

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How would you approach designing a large dataset for business insights?

Discuss your process for understanding the business requirements, identifying key data sources, and structuring the dataset to enable meaningful analysis. Be sure to mention any frameworks or methodologies you follow and the importance of collaboration with stakeholders in this design phase.

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What strategies do you use to ensure data security and privacy?

Here, focus on the best practices you follow for securing sensitive data, including data encryption, access controls, and adherence to compliance regulations. Emphasize the importance of keeping abreast of new security threats and how you apply proactive measures to safeguard data.

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How do you promote data-driven decision-making within a team?

Share examples of how you've facilitated data education and advocacy among team members. Discuss the tools and processes you’ve implemented to empower colleagues to utilize data effectively in their daily decisions.

Join Rise to see the full answer
Describe a challenge you faced while managing data systems and how you overcame it.

Use the STAR method (Situation, Task, Action, Result) to detail a specific challenge related to data systems you encountered. Explain the actions you took to address the issue and the successful outcome. Focus on your problem-solving approach and teamwork.

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What role does collaboration play in your work as a Senior Data Engineer?

Emphasize the importance of working closely with data scientists, product teams, and other stakeholders. Share specific instances where collaboration resulted in successful data initiatives or improvements and how you foster a culture of teamwork.

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Can you give an example of how you've used Python to create data workflows?

In your response, provide a concrete example of a complex data workflow you built using Python. Highlight the libraries and techniques you used and how the workflow enhanced operational efficiency or data processing within your organization.

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What is your experience with modern SQL orchestrators like dbt?

Detail your familiarity with dbt or similar tools, explaining how you have utilized them in your previous roles for data transformation and modeling. Discuss the advantages these tools provided and any challenges you faced during their implementation.

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How do you stay updated on the latest data engineering trends?

Share your strategies for continuous learning, such as following industry blogs, attending webinars, or participating in professional forums. Mention any networking opportunities or communities you engage with to stay informed about advancements in data engineering.

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What is your approach to handling data quality issues?

Describe your method for identifying, analyzing, and resolving data quality issues. Highlight the tools or techniques you employ for monitoring data quality metrics and how you collaborate with other teams to ensure consistent data standards.

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BetterUp's is a company centered around unlocking human potential by providing personalized coaching, mentorship, and professional development resources.

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DATE POSTED
April 21, 2025

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