Staff Data Engineer Remote - United States

Headspace; Snowflake (AZ); Remote; USD 131,000 - 198,000; Full time

Job summary

An innovative firm is seeking a Staff Data Engineer to transform mental healthcare through data. This role involves leading the architecture of scalable data infrastructure, collaborating with diverse teams, and mentoring engineers. You'll work with cutting-edge technologies like pySpark, Databricks, and Snowflake to build a robust data platform that supports the mission of personalized mental health care. Join a dynamic team dedicated to making a difference in the world, where your contributions will directly impact the health and happiness of individuals. If you have a passion for data engineering and a desire to innovate, this is the perfect opportunity for you.

Benefits

Stock awards

Comprehensive healthcare coverage

Monthly wellness stipend

Retirement savings match

Lifetime Headspace membership

Unlimited free mental health coaching

Generous parental leave

Qualifications

• 10+ years in enterprise data solutions with proven high-impact initiatives.
• Expertise in modern data platforms and real-time/batch ETL pipelines.

Responsibilities

• Lead the development of scalable data infrastructure and data pipelines.
• Mentor team members and champion data-driven leadership across teams.

Skills

Data Engineering

pySpark

ETL Pipelines

Leadership

Problem Solving

Education

Bachelor's degree in Computer Science

Advanced degree in Engineering

Tools

Databricks

Snowflake

dbt

Redshift

Job description

About the Staff Data Engineer at Headspace:

At Headspace, our mission is to transform mental healthcare to improve the health and happiness of the world. Core to this mission is our ability to responsibly and ethically leverage data to provide personalized care to each of our members, meeting them where they are on the mental health continuum. We are seeking experienced engineers to come work on our data platform and pipelines. This is an incredible opportunity to participate in building out our modern data platform, working with a diverse and talented crew. In this role, you will work closely with our data science, data analytics and engineering teams to enable the entire company to bring personalized mental health and wellness to all our members.

What you will do:

• Lead the Development of Scalable Data Infrastructure: Drive the architecture and implementation of cutting-edge pySpark data pipelines to ingest and transform diverse datasets into the organization’s data lake in a fault-tolerant, robust system.
• Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design.
• Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry.
• Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics.
• Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance, fostering a data-first culture that prioritizes excellence, innovation, and collaboration across teams.
• Influence Organizational Strategy: Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric solutions.

What you will bring:

• Extensive Experience in Data Engineering: 10+ years of success in enterprise data solutions, with a proven track record of leading high-impact initiatives at scale.
• Mastery of Modern Data Ecosystems: Expertise in advanced platforms like Databricks, Snowflake, dbt, Redshift, and related cloud-native data technologies.
• Exceptional Architectural Acumen: Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability.
• Leadership and Mentorship Skills: Demonstrated ability to lead, coach, and inspire engineers, fostering professional growth and building high-performing teams.
• Cross-Functional Collaboration: Adept at partnering with product, analytics, and other stakeholders to align technical solutions with strategic business goals.
• Innovative Problem-Solving: A creative thinker who thrives on tackling complex challenges in dynamic, fast-paced environments.
• Educational Foundation: Bachelor’s or advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $131,414-$197,100.

At Headspace, cash salary is one component of our Total Rewards package, which includes base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more. Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate.