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Financial Data Engineer Remote Jobs in New Rochelle, NY

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data Engineer to join our Data Engineering ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Soda Data

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world. Role Overview: We are seeking a skilled Data Engineer to join ...

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

DriveWealth

Principal Data Engineer

New York, NY · On-site +1

$220K - $240K/yr

Design and code complex dbt models and data transformation logic for high-volume financial datasets ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary ... Background in financial or payment integrity analytics. Salary: 105,000 - 115,000 Powered by JazzHR ...

SHI

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... As a Data Engineer, you will work with customers and internal stakeholders to understand their ...

Shi International Corp.

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... As a Data Engineer, you will work with customers and internal stakeholders to understand their ...

New

Lakeview Loan Servicing

Data Engineer

Manhattan, NY · Remote

$140K - $240K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ... or finance experience to succeed in this role. If you are a strong data engineer with solid ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $140-150K 10% bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the ...

DriveWealth

Data Engineer II

New York, NY · On-site +1

$145K - $165K/yr

Within it, the Data Platform Engineering team owns two critical pillars: * Data Ingestion ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

Alpaca

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Regard

Data Engineer

New York, NY · Remote

$140K - $175K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... This improves quality of care, reduces physician burden, and improves hospital finances. We are ...

NAVA Software Solutions

Kafka Engineer - Remote

Jersey City, NJ · On-site +1

$61 - $80.75/hr

Kafka Admin/Engineer Location: Remote Duration: 6-12 months This person will be responsible for ... Design / Implement Kafka producers/consumers for high-throughput, low-latency data processing in a ...

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Showing results 1-20

All JobsFinancial Data Engineer JobsFinancial Data Engineer Remote JobsFinancial Data Engineer Remote Jobs in New Rochelle, NY

Financial Data Engineer Remote information

See New Rochelle, NY salary details

$45.8K

$133.5K

$182.7K

How much do financial data engineer remote jobs pay per year?

As of Jul 19, 2026, the average yearly pay for financial data engineer remote in New Rochelle, NY is $133,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $141,500.00 per year, depending on experience, location, and employer.

What does a Financial Data Engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the typical challenges faced by remote Financial Data Engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.
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Financial Data Engineer Remote jobs near you

Data Engineer

Canoe Intelligence

Manhattan, NY • On-site, Remote

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Engineer

LOCATION: New York City (hybrid) or Fully Remote in the United States

SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo)

The Role:

We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction.

What You’ll Do:

  • Contribute to the design and development of our Data platform.

  • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.

  • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.

  • Participate in cross-functional teams as Data Engineering’s representative.

  • Build observable systems and be an organization leader in operational excellence.

What We’re Looking For:

  • Minimum 5 years of experience in software development, with at least two in a Data Engineering role

  • Experience with SQL Databases and relational data modeling.

  • Experience working with data at scale.

  • A strong sense of ownership and accountability.

  • Curiosity and a willingness to learn new technologies.

  • Great communication skills.

  • A history of working well with technical and non-technical stakeholders.

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.