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Bank Python Jobs in Maryland (NOW HIRING)

Rapid Finance

BI Data Analyst (Hybrid)

Bethesda, MD · On-site

Experience in fintech, lending, banking, finance, accounting, marketing analytics, or similar data environments. * Exposure to Agile delivery methods or Kimball SDLC. * Exposure to Python, R ...

GEICO

Senior Engineer

Bethesda, MD · On-site

$111K - $153K/yr

Deliver secure, PCI-aware payment flows including card and bank account capture, tokenization, and ... Python, or C#) * Proven experience designing and consuming RESTful APIs and gRPC services in ...

CIBC

$130K - $155K/yr

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... Experience with scripting and automation (e.g., Python, PowerShell, Terraform). * In-depth ...

CIBC US

$130K - $155K/yr

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... Experience with scripting and automation (e.g., Python, PowerShell, Terraform). * In-depth ...

Eliassen Group

Sr SQL AWS Eng

Rockville, MD · On-site

$70 - $88/hr

Python or scripting for automation. * Preferred: Experience with CI/CD and testing frameworks ... Eliassen Group will never ask you for personal information (home address, bank account, or check ...

Eliassen Group

Sr SQL AWS Eng

Rockville, MD · On-site +1

$70 - $88/hr

Python or scripting for automation. * Preferred: Experience with CI/CD and testing frameworks ... address, bank account, or check routing number) until you have worked with someone clearly ...

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All JobsBank Python JobsBank Python Jobs in Maryland

Bank Python information

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are the key skills and qualifications needed to thrive as a Bank Python Developer, and why are they important?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.
What are popular job titles related to Bank Python jobs in Maryland? For Bank Python jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Maryland look for? The top searched job categories for Bank Python jobs in Maryland are:
What cities in Maryland are hiring for Bank Python jobs? Cities in Maryland with the most Bank Python job openings:
Bank Python jobs near you
Infographic showing various Bank Python job openings in Maryland as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
BI Data Analyst (Hybrid)

BI Data Analyst (Hybrid)

Rapid Finance

Bethesda, MD • On-site

Full-time

Posted 15 days ago

Job description

Rapid Finance has a dynamic opportunity for a BI Data Analyst to join our Business Intelligence team. This role will focus on building, maintaining, and improving business intelligence reporting solutions that help stakeholders make data-driven decisions. The position will work primarily with Power BI, paginated reports, Microsoft SQL Server, and Microsoft Fabric.
This is a hands-on, non-senior BI analyst role reporting to the Director of Business Intelligence. The ideal candidate is comfortable working with business stakeholders, translating reporting needs into clear requirements, validating data, and delivering reliable BI solutions using SQL Server and Power BI.
This position is intended for candidates local to the Bethesda, Maryland area, with limited in-office presence as business needs require.
A day in the life of the BI Data Analyst may include:
  • Design, develop, maintain, and enhance Power BI reports, dashboards, semantic models, and paginated reports.
  • Write, troubleshoot, and validate SQL queries against Microsoft SQL Server source systems.
  • Work with SQL Server views, stored procedures, and existing ETL logic to support reporting and data validation needs.
  • Partner with business teams to gather requirements, define KPIs, and translate business questions into reporting solutions.
  • Apply dimensional modeling and data warehouse best practices, including facts, dimensions, star schemas, and Kimball-style concepts.
  • Support BI solutions in Microsoft Fabric and continue developing hands-on knowledge of Fabric capabilities.
  • Perform data validation to confirm the accuracy, completeness, and consistency of reports and dashboards.
  • Document report logic, data definitions, business rules, and known data limitations.
  • Monitor and improve report usability, data refresh reliability, and performance where appropriate.
  • Turn data into actionable insight for business users across Rapid Finance.
About You:
  • 3+ years of professional experience in business intelligence, data analysis, reporting, or related work; or 5+ years of relevant experience in lieu of a degree.
  • Bachelor's degree preferred in Information Systems, Business Analytics, Economics, Computer Science, Statistics, Mathematics, Finance, or a related quantitative/business field; equivalent practical experience will be considered.
  • Hands-on experience building reports and dashboards in Power BI.
  • Experience creating or supporting Power BI paginated reports, Power BI Report Builder reports, SSRS reports, or similar operational reporting outputs.
  • Strong SQL skills, preferably using Microsoft SQL Server and T-SQL.
  • Comfortable working with relational data sources, views, stored procedures, and existing SQL-based ETL logic.
  • Understanding of dimensional modeling, data warehousing concepts, facts, dimensions, and star schema design.
  • Familiarity with Microsoft Fabric and how it supports data integration, analytics, warehousing, and Power BI reporting.
  • Strong communication skills with the ability to work with both business users and technical team members.
  • Self-motivated, organized, and able to learn new tools, data sources, and business processes quickly.
Technical skills required:
  • Power BI report development, including dashboards, semantic models, DAX basics, and paginated reports.
  • Microsoft SQL Server and T-SQL querying.
  • Experience reading and troubleshooting SQL Server views and stored procedures.
  • Dimensional data modeling and data warehouse best practices, including Kimball-style concepts.
  • Familiarity with Microsoft Fabric.
  • Data validation, report testing, requirements gathering, and documentation.
  • Only U.S. citizens and Green Card holders are eligible for this position.
Preferred skills and experience:
  • Hands-on experience with Microsoft Fabric Data Factory, Data Pipelines, Lakehouse, Warehouse, or related Fabric workloads.
  • Experience with Azure Data Factory or similar Microsoft data integration tools.
  • Experience with SSRS, Power BI Report Builder, SSIS, or related Microsoft BI tools.
  • Experience in fintech, lending, banking, finance, accounting, marketing analytics, or similar data environments.
  • Exposure to Agile delivery methods or Kimball SDLC.
  • Exposure to Python, R, advanced analytics, forecasting, or predictive modeling is helpful but not required.
We invite you to learn more about our business and join our conversation at @LifeAtRapid. Discover what a career with Rapid Finance can do for you. Visit us today at rapidfinance.com/careers.
Rapid Finance is an equal opportunity employer and committed to a diverse workforce.
 

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