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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.
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 remote-first company with employees distributed across the US and EU
- 5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits
- DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
- DataBird journal’s “Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
You will be a member of the Data Application and Engineering Team. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
The Data Application and Engineering team’s mission is to empower decision making with data, maintain data integrity and security, enable scalability and agility. The team’s work includes ingest data, build ETL pipelines and create services and tools for others to use data more efficiently. You will work on developing and enhancing our data warehouse, defining processes for data monitoring and alerting as well as maintaining data integrity in our data ecosystem. You will work with cross functional teams and internal stakeholders to define requirements and build solutions to meet the requirements. You will work with other engineers to ensure that our data platform and infrastructure are scalable and reliable.
Responsibilities
- Work on high impact projects that improve data availability and quality, and provide reliable access to data for the rest of the business
- Build and manage a state-of-the-art data pipeline architecture, leveraging our tech stack to fulfill business requirements.
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Oversee the ingestion of data into Snowflake, employing tools like Fivetran as the data integration platform, and facilitate the operation of this data through dbt and Looker.
- Conduct thorough analyses and debugging of data pipeline issues, ensuring data integrity and reliability.
- Communicate strategies and processes around data modeling and architecture to the data engineering as well as other teams
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Snowflake and AWS technologies.
Requirements
- Minimum of 3 years experience in data engineering, with substantial work on ETL pipeline construction, preferably in environments utilizing Fivetran, dbt, Snowflake, and Looker.
- Proficient in advanced SQL, with a strong background in designing and implementing ETL processes.
- Demonstrable coding skills in Python.
- Proven track record of managing large datasets, including their processing, transformation, and transportation.
- Experienced with cloud services, particularly AWS, and familiar with services like EC2, SQS, SNS, RDS, and Cache.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Deep understanding of the complete data stack, including Apache Hadoop, Apache Spark, Spark Streaming, Kafka, and the ability to adapt and learn new technologies.
- Direct experience in deploying machine learning models into production environments, particularly using Java/Python.
- Familiarity with data visualization and business intelligence tools, specifically Looker/Sigma, to translate data into actionable insights.
Compensation & Benefits:
At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. Our total compensation consists of base pay + bonus + benefits + perks.
The base pay range for this position is $115,000 - $160,000. 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 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 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 US employees employer-paid health insurance and a 401k match with immediate vesting. Taskrabbit offers EU employees medical insurance. 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, 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.
