Senior Data Engineer at Larch Capital Partners Llc

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

228028.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Engineering, Data Pipelines, Orchestration, Airflow, Prefect, Dagster, Python, SQL, ELT, ETL, Snowflake, BigQuery, Redshift, CI/CD, Monitoring, Alerting

Industry

Description

About Us Weekend (formerly Volley) is the leading developer of voice AI games for smart TVs. Our games attract millions of users every month, with family favorites like Jeopardy!, Song Quiz, CoComelon: Sing and Play with JJ, and Wheel of Fortune. We believe voice interfaces will become the main way people access entertainment in their living rooms, kitchens, bedrooms, and cars. We’re building a bundled subscription product similar to Netflix or Spotify for the emerging category of “AI-powered games.” Weekend was founded by Max Child and James Wilsterman in 2024. The founders went Y Combinator in 2018 and landed a spot on the 2022 YC Top Companies List. We’re a quickly-growing team headquartered in Union Square, San Francisco. Role Summary Weekend is seeking our first Data Engineer to build the foundation for production-grade data infrastructure and unlock the next phase of our growth. You'll own end-to-end data pipelines for marketing attribution, design scalable orchestration patterns, and establish the reliability standards that turn growth data into a dependable system. This is a high-impact opportunity to create durable infrastructure from the ground up and materially improve marketing efficiency. What You'll Do at Weekend Build and own end-to-end data pipelines, including attribution and third-party enriched data sources (ingestion → orchestration → warehouse → consumption). Establish production-grade reliability standards: monitoring, alerting, SLAs, observability, runbooks, and incident response. Design scalable patterns for handling late/out-of-order data, backfills, historical consistency, and data quality. Implement environment separation (dev/stage/prod), CI/CD for pipelines, and data contracts/validation frameworks. Collaborate with Data, Growth, and Engineering teams to define data requirements and enable confident decision-making. Lay the groundwork for unified attribution and incrementality frameworks that drive marketing spend optimization. Turn today's brittle, ad-hoc pipelines into production-grade systems that increase velocity and reduce fire drills. We're Excited About You Because You Have 5+ years of data engineering experience with a proven track record of building reliable production pipelines. Deep expertise with orchestration tools (Airflow, Prefect, or Dagster) including scheduling, retries, alerting, and SLAs. Strong proficiency in Python and SQL, with experience building ELT/ETL pipelines at scale Hands-on experience with modern data warehouses (Snowflake, BigQuery, or Redshift). Deploying and operating pipelines in cloud (IAM, networking basics, secrets, CI/CD). Track record of improving data reliability: handling schema drift, late data, backfills, and operational incidents. Experience making data production-ready with proper monitoring, documentation, and ownership. Bonus Points Experience with marketing attribution or growth analytics pipelines. Background in analytics engineering (dbt, SQLMesh, Dataform) or strong understanding of data consumer needs. Gaming or entertainment industry experience. Early-stage startup experience building with limited resources. Familiarity with observability tools. Our Stack Snowflake Tableau, Amplitude dbt, Airflow, Dagster Segment, Fivetran Languages: Python, SQL The Hiring Process Stage 1 (Preliminary Video Call): with a member of our Recruitment team Stage 2 (Hiring Manager + Technical Call): A call with the team's Hiring Manager followed by a technical session with one of our Analytics Leads. Stage 3 (Onsite Interview): with various partners and team members Stage 4 (Founder Chat) with our Founders As an AI company, we’re a huge believer in the value of AI tools. That being said, the interview process is intended as a conversation - we want to get to know you and your experience. Please refrain from using AI tools during all Weekend interviews unless otherwise specified. What’s in it for You Your medical, dental, and vision insurance is 100% covered by Weekend, for yourself and all dependents and we match 401k! We offer a flexible, hybrid work-from-home and in-office work model. We offer unlimited paid time off (enforced 2-week minimum), 16 paid holidays, 40 hours of bereavement leave, and unlimited sick days. Our generous parental leave policy includes 24 weeks at 100% pay for birthing parents and 12 weeks at 100% pay for non-birthing parents. We offer visa support for eligible candidates, making relocating for the job smoother and more streamlined. A full breakdown of our benefits is here! For Pay Transparency: The final offer amount may depend on experience, education, skills, and location. Base pay is one part of the total package that is provided to compensate and recognize employees for their work. Weekend is committed to the full inclusion of all qualified individuals. As part of this commitment, Weekend will ensure that persons are provided reasonable accommodations throughout the hiring process. If any reasonable accommodation is needed, please reach out to your hiring contact.

Responsibilities

The Senior Data Engineer will be responsible for building and owning end-to-end data pipelines, including attribution and third-party enriched data sources, while establishing production-grade reliability standards like monitoring, alerting, and SLAs. This role involves designing scalable patterns for data handling and collaborating with cross-functional teams to define data requirements and optimize marketing efficiency.