Staff Data Engineer

Join to apply for the Staff Data Engineer role at TaskrabbitTaskrabbit 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 remote‑first company with employees distributed across the US and EU5‑time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid‑Sized Companies, and Best BenefitsDataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020DataBird journal’s “Best Places” Best Companies for Women, #4 2019 and #1 2020Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashedThis is a Hybrid role that can either sit in our San Francisco office or our New York City office. We are not able to provide relocation support for this role.About The RoleWe are seeking a Staff Data Engineer to lead the design, development, and optimization of our data infrastructure and analytics layers, enabling the creation of reliable, scalable, and high‑quality data products across the company. This role will report to the Director of Data Engineering and Applications and work closely with both technical teams and non‑technical stakeholders across the business. While this is an individual contributor role, it emphasizes mentorship and strategic guidance across both data engineering and analytics engineering functions.The ideal candidate has deep experience building and maintaining modern data platforms using tools such as dbt, Airflow, and Snowflake (or equivalent), and brings strong expertise in data modeling, orchestration, and production‑grade data pipelines. They excel at engaging with non‑technical stakeholders to understand business needs and are skilled at translating those needs into well‑defined metrics, semantic models, and self‑serve analytical tools. They are comfortable shaping architectural direction, promoting best practices across the team, and thrive in environments that require cross‑functional collaboration, clear communication, and a strong sense of ownership.What You’ll Work OnDesign, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use casesDevelop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self‑serve analytics across the businessCollaborate with non‑technical stakeholders to deeply understand their business needs and translate them into well‑defined metrics and analytical toolsLead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growthBuild 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 organizationMentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplinesYour Areas Of ExpertiseExpertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and FivetranDeep experience with cloud data warehouses such as Snowflake, BigQuery, or RedshiftStrong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloadsProficient 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 patternsFamiliarity with infrastructure‑as‑code tools like Terraform and DevOps practices for managing data platform componentsHands‑on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalentAt 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 $143,000 – $204,000. 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 BecauseTaskrabbit is a Remote‑First 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 withThe 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 InclusionAn 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. #J-18808-Ljbffr