Staff Data Engineer

Headspace is seeking an experienced Staff Data Engineer to join our Data Products team (part of our Data Engineering org). In this role, you will be responsible for architecting and implementing a set of core data sets in our data lake. Your customers are our data consumers, including analysts, machine learning engineers and data scientists.

What you will do

• Design and implement mission critical data pipelines for our company
• Help create a set of high-quality, composable data products for our data consumers
• Write well designed, testable, performant, and efficient code that runs on Apache Spark and Delta Lake
• Lead the development of a world-class data lake that meets the strict security, privacy, and compliance requirements of the healthcare industry
• Collaborate with the data science and machine learning team to build data sets used for model training and development
• Mentor and coach other engineers to build a data-first culture at the company
• Write well designed, testable, performant, and efficient code
• Contribute in all phases of the development lifecycle

Required Skills

• 6+ years professional software development
• You’ve built high quality data pipelines before with comprehensive unit tests suites, data quality checks etc.
• Has a solid grasp of building new frameworks, tools or systems. Able to bring creative technical solutions to the table and design solutions at scale.
• Experience with Apache Spark and Delta Lake are a plus, but not required
• Solid understanding of system topologies from machine architecture to network architecture.  Ability to solve unique complex problems.
• Ability to work independently with minimal supervision on system level projects. Identifies and corrects errors on their own.  Assumes greater responsibilities and anticipates some team needs. A wide degree of creativity and latitude is expected.
• Proposes new solutions, ideas, tools and techniques for moderately complex problems.
• Begins to assume a lead role in team projects. Mentors and provides guidance.
• Considers multiple approaches and recommends best technical direction including logic and reasoning to areas outside of the immediate team.
• Proven hands-on Software Development experience, especially API and microservices architecture

Preferred Skills

• Having experience apache spark would be useful
• Experience with data modeling
• Python experience is a plus

Pay & Benefits

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 but one component of our Total Rewards package. We’re proud of our robust package inclusive of: 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.

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. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

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