Staff Data Engineer at Taskrabbit

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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
Deep experience building and maintaining modern data platforms using tools such as dbt, Airflow, and Snowflake (or equivalent)
Strong expertise in data modeling, orchestration, and production-grade data pipelines
Ability to engage with non-technical stakeholders to understand business needs and translate them into well-defined metrics, semantic models, and self-serve analytical tools
Comfortable shaping architectural direction, promoting best practices, and thriving in cross-functional collaboration environments with clear communication and ownership

Responsibilities

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 the 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

Skills

Key technologies and capabilities for this role

dbtAirflowSnowflake

Questions & Answers

Common questions about this position

Is this a remote position?

Taskrabbit is a remote-first company with employees distributed across the US and EU.

What is the salary for this Staff Data Engineer role?

This information is not specified in the job description.

What key skills are required for the Staff Data Engineer position?

The role requires deep experience with modern data platforms using tools such as dbt, Airflow, and Snowflake (or equivalent), along with strong expertise in data modeling, orchestration, production-grade data pipelines, and engaging with non-technical stakeholders.

What is the company culture like at Taskrabbit?

Taskrabbit's culture is collaborative, pragmatic, and fast-paced, celebrating innovation, inclusion, and hard work while seeking talented, entrepreneurially minded, and data-driven people.

What makes a strong candidate for this Staff Data Engineer role?

Ideal candidates have deep technical expertise in data platforms and pipelines, excel at collaborating with non-technical stakeholders to translate business needs into metrics and tools, and demonstrate leadership in architectural decisions, best practices, and cross-functional ownership.

Taskrabbit

Marketplace connecting clients with skilled Taskers

About Taskrabbit

Taskrabbit connects clients with skilled individuals, called Taskers, to help with various household and personal tasks. Clients can hire Taskers for chores like cleaning, furniture assembly, home repairs, and running errands. The platform operates as a marketplace where clients post tasks, and Taskers bid on them, offering competitive rates. Taskrabbit charges a service fee on each transaction, which is a percentage of the task's total cost, allowing the company to earn revenue with each completed task. Accessible through a website and mobile app, Taskrabbit emphasizes same-day service for clients needing immediate help. The company also has a "Happiness Pledge" to ensure customer satisfaction and address any issues quickly. Taskrabbit aims to provide a reliable and efficient way for people to get things done, focusing on convenience and quality service in the home services market.

San Francisco, CaliforniaHeadquarters

2008Year Founded

$36.6MTotal Funding

SERIES_CCompany Stage

Consumer Software, Consumer GoodsIndustries

1,001-5,000Employees

Staff Data Engineer at Taskrabbit

Requirements

Responsibilities

Skills

Questions & Answers

Taskrabbit

About Taskrabbit

Benefits

Health Insurance

401(k) Company Match

401(k) Retirement Plan

Unlimited Paid Time Off

Paid Vacation

Wellness Program

Professional Development Budget

Fertility Treatment Support

Risks

Increased competition from new gig economy platforms may dilute market share.

Integration challenges from Dolly acquisition could affect service quality.

Reliance on same-day service may strain operational capabilities during peak demand.

Differentiation

Taskrabbit offers same-day service, appealing to clients needing immediate assistance.

The platform connects clients with skilled Taskers for various household and personal tasks.

Taskrabbit's Happiness Pledge ensures customer satisfaction and prompt issue resolution.

Upsides

Acquisition of Dolly expands Taskrabbit's local moving and delivery services.

Partnership with Arcade1Up taps into the growing home entertainment market.

Collaboration with Robinhood offers retirement savings options for gig workers.

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