Senior Data Engineer

Spoileralert; United States; Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Health, dental and vision subsidies

Retirement plan options

Parental leave

Vacation and sick time

Company holidays

Volunteer leave

Flexible remote work funds

Job summary

Spoileralert is seeking a hands‑on data engineering leader to build and own the data infrastructure behind a transaction marketplace. You will shape pipelines, warehouse schemas, quality practices, and architecture while collaborating with data, product, and engineering teams.

You will own analytical warehouse models, define data quality standards, and drive observability across pipelines and BI layers. This role emphasizes collaboration, reliability, and the practical use of AI in data

Qualifications

• Around 5–8+ years of data engineering experience.
• Experience in B2B SaaS, marketplaces, or data products is relevant.
• Strong SQL and data modeling skills.
• Experience with data pipelines, orchestration, transformation, and BI tools.
• End-to-end data quality ownership and observability experience.
• Clear communication across technical and nontechnical teams.
• Comfort incorporating AI tools into development workflows.

Responsibilities

• Architect and maintain systems that move and transform marketplace data as the platform grows.
• Own documented analytical warehouse models used for internal analysis and customer reporting.
• Define data quality standards and implement testing, monitoring, and observability.
• Document architecture decisions and supporting infra for product AI/ML applications.
• Lead by example on pipelines, SQL, and modeling; conduct code reviews and share support duties.
• Drive data platform initiatives from design to production, communicating risks and tradeoffs.

Skills

SQL

Data modeling

Data pipelines

Orchestration

BI/semantic layer

Data quality

AI tooling awareness

Tools

dbt

Estuary

Astronomer Airflow

Holistics

LLM tooling

Job description

Role overview

Build and own the data infrastructure behind a transaction marketplace, making its data reliable, well modeled, and useful for operational decisions and customer-facing analytics. This hands‑on technical leadership role spans pipelines, warehouse schemas, quality practices, and architecture, with close collaboration across data, product, and engineering.

Responsibilities

• Architect and maintain systems that move and transform marketplace data reliably as the platform grows.
• Own documented analytical warehouse models used for internal analysis and customer reporting.
• Define data quality standards and implement testing, monitoring, and observability to uphold them.
• Make and document architecture decisions, including infrastructure that supports product applications of AI and machine learning.
• Set a strong example through pipeline, SQL, and modeling work; provide useful code reviews and share support responsibilities.
• Lead data platform initiatives from design through production and iteration, communicating risks and tradeoffs to partners.

Requirements

• Around 5–8 or more years of data engineering experience; experience in B2B SaaS, marketplaces, or data products is relevant.
• Strong SQL and data modeling skills, with the ability to create clean, maintainable models.
• Practical experience across data pipelines, orchestration, transformation, and BI or semantic-layer tooling.
• Experience owning data quality end to end, including reliability‑focused testing and observability.
• Track record of taking accountability for systems and longer-running work, and communicating clearly across technical and nontechnical teams.
• Comfortable incorporating AI tools into development workflows with sound engineering judgment.

Nice to have

• Experience with marketplace or transaction data, applied AI/ML pipelines, customer-facing analytics, or consumer goods and food supply chains.
• Familiarity with Estuary, Astronomer Airflow, dbt, Holistics, or LLM tooling in data workflows.

Benefits and work setup

• Remote-first work, with coworking access available in select U.S. cities.
• Health, dental, and vision coverage subsidies; retirement plan options; paid parental leave; vacation and sick time; company holidays; and paid volunteer leave.
• Annual flexible funds for remote work, learning, and team connection.
• Listed salary range: $140,000–$175,000. Applicants must be authorized to work in the United States; visa sponsorship is unavailable.