Senior Data Engineer

Spoiler Alert

. Architect, build, and maintain infrastructure that moves and transforms marketplace data reliably and at scale .

Posted 10/15/2026full-timeRemote • United StatesSenior💰 $140,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering with a focus on building and maintaining scalable data infrastructure, ensuring data quality, and integrating AI/ML into workflows. Proficient in SQL, data modeling, and modern data stack tools to support analytics and decision-making.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyData Quality ManagementAI/ML IntegrationCross-Functional Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingPipeline ToolingWorkflow OrchestrationData Quality StandardsDebuggingData Infrastructure DesignCode ReviewRoot-Cause AnalysisTesting FrameworksObservability Frameworks

Soft Skills

AccountabilityCollaboration

Tools & Technologies

EstuaryAstronomer AirflowDbtHolistics

Industry Keywords

B2B SaaSMarketplaceData ProductsCustomer-Facing AnalyticsFood and BeverageCPG Domain Knowledge

Tech Stack

Tools & technologies

AirflowSQL

About the role

Key responsibilities & impact

Architect, build, and maintain infrastructure that moves and transforms marketplace data reliably and at scale
Own the analytical schema in the data warehouse for internal analytics, aggregate analytics, and customer-facing reporting
Design and enforce data quality standards, monitoring, and testing across the stack
Make architectural decisions, document tradeoffs, and build data infrastructure supporting AI/ML product applications
Contribute code in pipeline logic, SQL, and data modeling
Conduct code reviews and evolve engineering patterns and practices
Debug and resolve data issues and drive root-cause prevention work
Contribute to shared support responsibilities and reliability across the data platform
Own data systems and roadmap themes from design through production and iteration
Partner with Product, Data, and Engineering teams to support reliable decision-making
Identify and advocate for data infrastructure investments
Contribute to architecture discussions and Engineering reflection

Requirements

What you’ll need

5–8+ years of data engineering experience, ideally at a B2B SaaS, marketplace, or data products company
Deep hands-on expertise across the modern data stack, including pipeline tooling (Estuary), workflow orchestration (Astronomer Airflow), transformations (dbt), and BI tools with semantic layers (Holistics)
Strong SQL and data modeling foundations
Experience owning data quality end-to-end, including testing and observability frameworks, infrastructure, and tools
Productively integrate AI into development workflows
Proven ability to take accountability for systems and themes, not just individual tasks or projects
Ability to collaborate cross-functionally with data analysts, product engineers, and non-technical stakeholders
Experience differentiators include marketplace or transaction-platform data, applied AI/ML pipeline work, customer-facing analytics products, food and beverage or CPG domain knowledge, and integrating LLM tooling into data workflows
Candidates should be authorized to work in the United States
Visa sponsorship is unavailable
Final-round candidates will complete a background check

Benefits

Comp & perks

Remote-first environment, with co-working access for locals in BOS, NYC, & DEN
Competitive salary and stock option packages
Subsidized health, dental, and vision insurance plans
Climate-focused, pre-tax 401(k) and post-tax Roth 401(k) options
12-16 weeks of paid parental leave + flex return to work
15+ company holidays, including an "End of Year Reset Week"
20 vacation days and 10 sick days per year
Focus Fridays (no meetings after 1PM local)
Summer Fridays (1/2 day)
Paid volunteer outings and civic engagement leave
Annual flex funds for remote work needs, learning & development, and socializing with colleagues
Company-sponsored $500 FSA contribution