Senior Data Engineer – Finance

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. Own pipelines and data models supporting product, treasury, finance, accounting and compliance teams .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $152,500 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building and operating production data pipelines and models, with proficiency in SQL and Python. Capable of collaborating across cross-functional teams to design data requirements and ensure data quality and integrity.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData Pipeline OwnershipExperience With Modern Data StackStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Quality ChecksIncident ResolutionData IngestionReconciliationBusiness Logic DesignPreventative Solutions DesignAutomated Solutions DevelopmentCode ReviewMentoring

Soft Skills

CollaborationOwnershipAccountability

Tools & Technologies

Cloud Data WarehouseAirflowDbtTransformation ToolingAI

Industry Keywords

Blockchain DataFinancial ServicesBankingCompliance

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

Own pipelines and data models supporting product, treasury, finance, accounting and compliance teams
Partner with cross-functional teams to design data requirements, models, business logic and pipelines
Develop understanding of custody, reserves, reconciliation and customer balances
Build reconciliation, data quality checks and alerting frameworks
Lead incident resolution and design preventative solutions
Ingest and model large-scale data from multiple blockchains, handling reorganizations, late or missing records and schema changes
Ensure data is documented, trustworthy and fit for use
Reframe requests into better data products and identify poorly scoped requests
Build scalable automated solutions using SQL, Python, orchestration, transformation tooling and AI
Review code, models and designs
Mentor junior engineers
Share work with larger audiences to explain data and financial systems

Requirements

What you’ll need

Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Economics, Finance or similar), or equivalent experience
6+ years of experience building and operating production data pipelines and models
Proficiency in SQL and Python
Experience with a modern data stack: a cloud data warehouse, an orchestrator such as Airflow, and a transformation tool such as dbt
Experience owning a data domain end to end
Strong communication skills and ability to explain systems clearly to non-technical audiences
Strong collaboration skills across product engineering, data, finance, accounting, treasury and compliance
Strong sense of ownership and accountability in triaging, investigating and resolving data or pipeline issues
Experience with blockchain data, financial services, banking or other regulated industries is a plus, but not required

Benefits

Comp & perks

Flexible work environment
Inclusive financial future and equal opportunity workplace
Interview accommodations and assistance for candidates with disabilities