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Weekday Financial Data Engineer Jobs in New York

Weekday AI

Data Engineer - Finance

New York, NY · On-site

$60 - $85/hr

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

The role demands expertise in Python, deep familiarity with financial data sources, and the ability ... Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

Point72

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

In this role, you will leverage knowledge graphs to connect financial data, design data models, and ... Required : • 3+ years of experience in knowledge graph engineering, graph database development ...

Ascot Group

Data Engineer, Finance

Iselin, NJ · On-site

$95K - $110K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Support financial reporting, accounting, and regulatory data use cases * Enforce data engineering ... standards, security best practices, and governance policies Required Skills & Qualifications:

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Standard Position Overview We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will ...

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All JobsWeekday Financial Data Engineer JobsWeekday Financial Data Engineer Jobs in New York

Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What are the most commonly searched types of Financial Data Engineer jobs in New York? The most popular types of Financial Data Engineer jobs in New York are:
Weekday Financial Data Engineer jobs near you

Data Engineer - Finance

Weekday AI

New York, NY • On-site

$60 - $85/hr

Part-time

Posted 13 days ago

Job description

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities
  • Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.
  • Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
  • Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.
  • Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
  • Improve the reliability, scalability, and performance of data workflows supporting finance operations.
  • Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.
  • Document workflows, data models, and engineering processes to ensure maintainability and knowledge sharing.
Requirements
  • 2-4 years of professional experience as a Data Engineer.
  • Strong hands-on experience with PySpark and distributed data processing frameworks.
  • Advanced SQL skills with experience writing efficient, production-grade queries.
  • Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Excellent written and verbal communication skills.
  • Willingness to work onsite full-time.
Preferred Qualifications
  • Experience supporting finance, accounting, or enterprise business data platforms.
  • Familiarity with cloud-based data infrastructure and modern data engineering best practices.
  • Strong analytical and problem-solving abilities with attention to data accuracy.
  • Experience working in fast-paced, high-growth technology environments.
Role Details
  • Employment Type: Independent Contractor
  • Duration: 6-month contract with potential extension
  • Work Arrangement: Full-time, Onsite
  • Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a full-time onsite engagement.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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