About Taskrabbit:

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

This role is Hybrid, with the expectation that employees will begin working 2 days per week in our dedicated office space in either San Francisco or in New York City (Opening in early 2026).

About the Role

We are seeking a Staff Data Engineer to architect and lead our entire data infrastructure strategy—a rare opportunity to be the most senior data technical leader shaping how data flows through our organization. In this role, you won't just build systems; you'll define the vision, set the technical direction, and establish the standards that will guide our data practice for years to come.

Why This Role is Different

As our most senior data engineer reporting directly to the Director of Data Engineering, you'll have unusual breadth and influence to:

Shape the Entire Data Stack: From ingestion to analytics, you'll touch every part of the data lifecycle and make foundational decisions that impact the entire business
Be a Strategic Partner: Work directly with leadership and stakeholders across the organization to translate business strategy into data capabilities—your voice will carry weight in company-level decisions
Build Your Legacy: Establish the patterns, practices, and culture that will define how we work with data. Your architectural choices and mentorship will shape the team's future
Wear Multiple Hats: Dive deep into technical challenges one day, mentor engineers the next, and present strategy to executives the third—the variety keeps the work engaging and your skills sharp

The ideal candidate has deep expertise with modern data platforms (dbt, Airflow, Snowflake or equivalents), strong data modeling and orchestration skills, and a track record of building production systems that scale. Just as importantly, you're an exceptional communicator who can engage technical and non-technical stakeholders alike, you thrive on ownership and cross-functional collaboration, and you're energized by the opportunity to continue building out data architecture.

What You'll Work On:

Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
Champion data quality, documentation, and observability to ensure high trust in data across the organization
Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines

Role Requirements:

7-10 years of experience in Data Engineering
Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent

Compensation & Benefits:

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $170,000 - $210,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

You’ll love working here because:

Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.

Taskrabbit’s commitment to Diversity and Inclusion:

An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Staff Data Engineer

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