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Fintech Data Science Jobs in Maryland (NOW HIRING)

Xometry

Principal Software Engineer

North Bethesda, MD · On-site

$135K - $181K/yr

... Data Science team to ensure the "IQE" (Instant Quoting) engine performs with sub-second latency ... Experience in e-commerce, fintech, or B2B marketplaces where "click-to-buy" precision is critical

Xometry

Principal Software Engineer

North Bethesda, MD · Hybrid

$135K - $181K/yr

... Data Science team to ensure the "IQE" (Instant Quoting) engine performs with sub-second latency ... Experience in e-commerce, fintech, or B2B marketplaces where "click-to-buy" precision is critical

Rapid Finance

BI Data Analyst (Hybrid)

Bethesda, MD · On-site

Bachelor's degree preferred in Information Systems, Business Analytics, Economics, Computer Science ... Experience in fintech, lending, banking, finance, accounting, marketing analytics, or similar data ...

Rapid Finance

BI Data Analyst (Hybrid)

Bethesda, MD · On-site

Bachelor's degree preferred in Information Systems, Business Analytics, Economics, Computer Science ... Experience in fintech, lending, banking, finance, accounting, marketing analytics, or similar data ...

Capital Bank

Senior Business Analyst

Rockville, MD · Hybrid

$110K - $130K/yr

You'll work with some of the brightest and most passionate minds in the FinTech industry, and from ... Statistics, Data Science, Engineering, Economics, Finance, Business) Technical Knowledge and Skills

Capital Bank

Senior Business Analyst

Rockville, MD · On-site

$110K - $130K/yr

You'll work with some of the brightest and most passionate minds in the FinTech industry, and from ... Statistics, Data Science, Engineering, Economics, Finance, Business) Technical Knowledge and Skills

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$68.50 - $88.25/hr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$102K - $208K/yr

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Capital Bank

Application Architect

Rockville, MD · Hybrid

$120K - $165K/yr

... data, and Azure cloud platforms. This role partners with business, technology, risk, compliance ... Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or ...

Socket.dev

Application Architect

Rockville, MD · On-site

$120 - $165/hr

... data, and Azure cloud platforms. This role partners with business, technology, risk, compliance ... Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or ...

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Fintech Data Science information

See Maryland salary details

$36.4K

$119.1K

$190.7K

How much do fintech data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for fintech data science in Maryland is $119,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Maryland?

For Fintech Data Science jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Maryland look for?

The top searched job categories for Fintech Data Science jobs in Maryland are:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,123 per year, or $57.3 per hour.

Onsite, ML FinTech Data Engineer (Bethesda Maryland)

Addison Group

Bethesda, MD • On-site

$65 - $67/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

Position Title: ML Data Engineer

Location: Bethesda, MD - 5 Days onsite - No Relocation

Assignment Type: Contract to Hire

Pay Rate: $65.00 - $67.00

Work Schedule: Onsite, Monday - Friday

Benefits: This position is eligible for medical, dental, vision, and 401(k).

Work Authorization: Must be authorized to work in the United States. This position is not eligible for sponsorship.

Job Description

Addison Group is partnering with a high-growth boutique tactical asset management firm headquartered in Bethesda, MD that is investing heavily in modern data and AI capabilities to sharpen their competitive edge. They are looking to bring on a ML Data Engineer to play a critical role in building and scaling their data infrastructure from the ground up.

This is an opportunity for someone who thrives in a fast-paced startup environment, enjoys owning their work end to end, and wants real upside growth potential in a firm that is building something differentiated in the financial services space. If you are the type of engineer who wants to build, not maintain this is your role

Key Responsibilities

  • Design, build, and maintain scalable data pipelines to ingest data from multiple internal and external sources (APIs, SaaS platforms, databases, files).
  • Develop and manage a centralized data lake / lakehouse to standardize and curate data for analytics, reporting, and machine learning use cases.
  • Implement ELT/ETL processes to clean, validate, transform, and model data into trusted datasets.
  • Build and maintain machine-learning–ready datasets and feature pipelines that support experimentation and production models.
  • Ensure data quality, freshness, and reliability through monitoring, alerting, and automated validation checks.
  • Partner with analytics and business teams to define data requirements, metrics, and reporting outputs.
  • Support downstream data consumption for BI tools, dashboards, operational reporting, and partner data exports.
  • Apply best practices around data governance, security, access controls, and documentation.
  • Collaborate cross-functionally to deliver scalable, maintainable data solutions aligned with business priorities.
  • Continuously improve performance, cost efficiency, and reliability of the data platform.

Qualifications

Required

  • Bachelor’s degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience).
  • 4+ years of experience in data engineering or related roles.
  • Strong proficiency in Python and SQL.
  • Hands-on experience building and operating data pipelines and workflows.
  • Experience with modern data platforms (data lakes, data warehouses, or lakehouse architectures).
  • Familiarity with orchestration tools (e.g., Airflow, Dagster, Prefect) and data transformation frameworks.
  • Solid understanding of data modeling, schema design, and data quality best practices.
  • Experience integrating data from APIs and third-party systems.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.
  • Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Preferred

  • Experience supporting machine learning workflows (feature engineering, training datasets, or ML pipelines).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with streaming or near–real-time data pipelines.
  • Knowledge of data governance, security, and compliance best practices.
  • Prior experience in financial services, fintech, or regulated data environments.
  • Experience working in a high-growth or startup environment.
Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

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