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Financial Data Engineer Remote Jobs in New York (NOW HIRING)

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

All Generation Tech

Data Engineer-US

New York, NY · On-site +1

$125K - $150K/yr

... in financial services, insurance technology, and enterprise software. We partner directly with ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80/hour W2 Hours: 40 hours/week (EST) Benefits: Eligible for Health, Dental ...

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 ...

Soda Data

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

  • Medical

  • Retirement

  • PTO

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)

New York, NY · Remote

$100K - $130K/yr

  • Medical

  • Retirement

  • PTO

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.

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 ...

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 ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

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 ...

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 ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

  • Medical

  • Retirement

  • PTO

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

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 ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Soda Data

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · Remote

$160K - $180K/yr

  • Medical

  • Retirement

  • PTO

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Experience selling into regulated industries - financial services, pharma, energy, insurance * Data ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Remote JobsFinancial Data Engineer Remote Jobs in New York

Financial Data Engineer Remote information

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 key skills and qualifications needed to thrive as a financial data engineer in a remote role?

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.

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 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:

What are popular job titles related to Financial Data Engineer Remote jobs in New York?

For Financial Data Engineer Remote jobs in New York, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer Remote jobs in New York look for?

The top searched job categories for Financial Data Engineer Remote jobs in New York are:

What cities in New York are hiring for Financial Data Engineer Remote jobs?

Cities in New York with the most Financial Data Engineer Remote job openings:

Financial Data Engineer Remote jobs near you

Data Engineer

Carlyle

New York, NY • On-site, Remote

$150K - $200K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago

Job description

Position Summary
We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies.
Primary Responsibilities
  • Build, scale, and maintain robust data solutions to support the firm's objectives.
  • Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration - that are designed for scalability, reliability, maintainability, and speed.
  • Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies.
  • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments
  • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
  • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.
  • Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team.
  • Be willing to travel up to 20% of the time to collaborate with distributed team members across locations.

Requirements
Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics, STEM or other engineering related field, preferred

Professional Experience
  • At least 6 years of experience in data engineering or a related discipline, with a proven track record of success, required
  • Experience in the financial services or private equity industry, preferred

Competencies & Attributes
  • Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.
  • Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.
  • Experience with workflow orchestration tools e.g. Airflow, Temporal
  • Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases.
  • Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses.
  • Demonstrated experience in designing and implementing complex data systems from the ground up.
  • Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval.
  • Previous experience in a product development or financial services environment is highly desirable.
  • Excellent communication skills required, both verbal and written.

Benefits/Compensation
The compensation range for this role is specific to New York, NY and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $150,000 to $200,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
About Us:
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

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