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Data Fintech Operations Engineer Jobs (NOW HIRING)

BillGO

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $136K/yr

Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to ... Fintech, payments, or regulated-industry experience is a plus but not required. * Strong ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI ... Fintech, payments, or regulated-industry experience is a plus but not required. * Strong ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based ...

Motion Recruitment

DevOps Engineer

Phoenix, AZ · Hybrid

$52.50 - $71.75/hr

A FinTech organization is currently looking to hire a Cloud Platform Engineer for a contract ... This role will support the migration of mission-critical applications and data from on-premises ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI ... Fintech, payments, or regulated-industry experience is a plus but not required. * Strong ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based ...

Nasdaq

Global Data Center Manager

New York, NY · Hybrid

$182K/yr

Lead and mentor a distributed team of data center technicians and engineers across the US and Europe, ensuring 24x7 support for global fintech operations. * Foster a culture of precision, compliance ...

Nasdaq

Global Data Center Manager

New York, NY · On-site

$182K/yr

Lead and mentor a distributed team of data center technicians and engineers across the US and Europe, ensuring 24x7 support for global fintech operations. * Foster a culture of precision, compliance ...

Branch

Cloud Operations Engineer

$135/hr

Collaboration experience with Data Engineering teams. * Exposure to automation and configuration ... Our collaborative spirit has helped us become an award-winning FinTech company, with Branch ...

Fintech

Data Engineering Intern

Tampa, FL · On-site

Join Fintech in Tampa, Florida as a Data Engineering Intern! We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and ...

Branch

Cloud Operations Engineer

$135/hr

Collaboration experience with Data Engineering teams. * Exposure to automation and configuration ... Our collaborative spirit has helped us become an award-winning FinTech company, with Branch ...

Fintech

Data Engineering Intern

Tampa, FL

Join Fintech in Tampa, Florida as a Data Engineering Intern! We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Specter is hiring a data operations engineer to build our research data operation. This individual will own the full pipeline from defining what data we need, to getting it labeled at high quality ...

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How much do data fintech operations engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data fintech operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Data Fintech Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

AI Data Analytics Engineer

Fort Collins, CO • On-site

BillGO
Finance and Insurance • 201 - 500 employees
Learn more about BillGOexternal

$113K - $136K/yr

Other

Re-posted 3 hours ago

Job description

Job DetailsJob Location: Fort Collins, CO 80528Position Type: Full TimeSalary Range: $102,000.00 - $146,900.00 SalaryTravel Percentage: NegligibleJob Category: EngineeringBillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.

What you will own:
  • The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
  • Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
  • Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
  • Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
  • Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
  • Responsible and secure use of data and AI appropriate for a regulated payments environment.
  • Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.
Qualifications
  • 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
  • Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
  • Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
  • Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
  • Experience with data pipelines and both structured and unstructured data.
  • Fintech, payments, or regulated-industry experience is a plus but not required.
  • Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.
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