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Freelance Financial Data Engineer Jobs (NOW HIRING)

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

We equip Finance Teams at complex, sophisticated businesses to drive strategic decisions by ... About this role We are looking for a Data Engineer with ideally 3+ years of experience to design ...

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

Title - Senior Data Engineer / AI Engineer (Agentic AI Platform Financial Data) Location: On-site 2-3 days hybrid URGENT Experience: 4 8+ years Type: Contracting About the Role RECRUITERS MUST RUN ...

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Lead Data Engineer (Finance Tech)

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... The role demands expertise in Python, deep familiarity with financial data sources, and the ability ...

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Lead Data Engineer (Finance Tech)

Richmond, VA · On-site

$113K - $136K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Lead Data Engineer (Finance Tech)

Cambridge, MA · On-site

$125K - $150K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

Lead Data Engineer (Finance Tech)

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do ... By defining the next generation of financial technology, we ensure that every business process is ...

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Freelance Financial Data Engineer information

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$14

$47

$132

How much do freelance financial data engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for freelance financial data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

AspectFreelance Financial Data EngineerFreelance Data Analyst
CredentialsFinancial certifications (e.g., CFA, FRM), data engineering skillsData analysis certifications (e.g., CAP, Microsoft Data Analyst)
Work EnvironmentFinancial firms, investment companies, fintech startupsBusiness, marketing, research firms, or corporate departments
Employer & Industry UsageFinancial industry, asset management, bankingVarious industries including retail, healthcare, and finance
Search & Comparison IntentUnderstanding technical financial data engineering rolesAnalyzing financial data for insights and reporting

The main difference is that Freelance Financial Data Engineers focus on building and maintaining financial data infrastructure, while Freelance Data Analysts interpret and analyze data to support decision-making. Both roles require data skills, but the Financial Data Engineer emphasizes data pipeline development within financial contexts.

More about Freelance Financial Data Engineer jobs
What cities are hiring for Freelance Financial Data Engineer jobs? Cities with the most Freelance Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Freelance Financial Data Engineer jobs? States with the most job openings for Freelance Financial Data Engineer jobs include:
Infographic showing various Freelance Financial Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Analyst, Information Technology (Data Engineer)

Oriental Financial Services LLC

San Juan, PR • On-site

$112K - $134K/yr

Full-time

Posted 27 days ago


Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.
MAIN DUTIES & RESPONSIBILITIES:
  • Design, develop, and maintain ELT/ETL pipelines for batch and event-driven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Git-based version control, CI/CD pipelines, and infrastructure-as-code practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong hands-on experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:
  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or near-real-time data (Kafka, Kinesis, or event-driven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:
  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)
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