Senior Data Engineer
Senior Data Engineer
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1 Vacancy
Job Description
Must be located in NYC (we are in office Monday - Thursday). Please apply by emailing with Senior Data Engineer in the subject line and include the following:
- Share 1-3 (max) bullets on why you think youre a standout applicant for this role.
- Share 1-2 (max) bullets summarizing an initiative youre most proud of and the impact it drove (we love metrics!)
- Please attach your resume
Pickle is a rental marketplace that aims to monetize the billions of underutilized assets sitting in consumers closets and brands inventory. Users can easily tap into shared closets within their community through flexible and/or on-demand delivery options. Our goal is to provide affordable and convenient access to quality items exactly when our users need them. We are starting with P2P clothing/accessories and expanding to other categories.
Role Overview:
As our first dedicatedSenior Data Engineer you will architect and scale the data hub that fuels every insight experiment and decision across the company. Youll own the full lifecycle of our data platformfrom ingestion and modeling to governance and observabilitywhile partnering closely with Product Growth and Engineering to unlock self-serve analytics and advanced use cases.
Requirements
- 6 years of professional data-engineering experience designing and running production-grade ELT/ETL pipelines
- Deep expertise withSnowflake or similar tool(warehouse design performance tuning security and cost management)
- Strong SQL plus proficiency in Python (or TypeScript/) for data transformation and orchestration
- Hands-on experience with modern data-stack tooling (e.g. dbt Airflow/Prefect Fivetran/Hevo Kafka/Kinesis)
- Solid grasp of data-governance concepts (catalogs lineage quality testing RBAC PII handling)
- Cloud infrastructure skillsAWS preferred (S3 ECS/Lambda IAM Secrets Manager CloudWatch)
- Proven track record of setting up data infrastructure and analytics processes from the ground up in a high-growth or startup environment
- Excellent communication skills and the ability to translate business questions into scalable datasets and metrics
- Bonus: experience supporting experimentation frameworks real-time/event-driven pipelines or ML feature stores
Key Responsibilities
- Own the data platform roadmap:design build and scale the pipelines and orchestration that feed Pickles central data hub
- Stand up analytics infrastructure:establish best-practice processes for data modeling testing CI/CD and observability to ensure reliable timely data
- Implement and Optimize Snowflake (or similar tool):tune performance manage costs and leverage advanced features (e.g. zero-copy clones data sharing)
- Champion data governance & security:implement standards for documentation data quality lineage and access control
- Enable self-service analytics:partner with analysts and stakeholders to expose trusted datasets and metrics in BI tools and experimentation platforms
- Collaborate across functions:work with Product Growth Operations and Engineering to translate business requirements into data assets that drive conversion retention and liquidity
- Mentor and elevate the team:share best practices review code and influence architecture and tooling decisions as we scale
- Measure and monitor:define SLAs/SLOs for data freshness and accuracy; set up dashboards and alerts to maintain platform health
Benefits
- Competitive compensation and equity
- Healthcare (Medical Dental Vision)
- Take what you need paid time off
- Meal Pal credits to cover the cost of lunch
- Stipend to help set up your desk and office environment
- Work directly with the founders and executive team
- Professional coaching training and development
- Grow with the company
- Pickle credits for our employees we love when the team uses Pickle!
- Fun team events and company parties
- Company offsites
- Office space in NYC
Required Experience:
Senior IC
Employment Type
Full-Time
