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Executive Python Financial Jobs in Columbus, OH (NOW HIRING)

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

... finance, product, and executive decision-making across the business. You will work closely with ... Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows. * Partner ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

... finance, product, and executive decision-making across the business. You will work closely with ... Write and maintain production-quality SQL, Python scripts, and transformation workflows. * Partner ...

Fluence

Senior Manager, Pricing (m/f/d)

London, OH

You will partner closely with Sales, Product, Finance, and regional teams to ensure pricing is both ... Support complex and strategic deal pricing, including exception management and executive-level ...

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All JobsExecutive Python Financial JobsExecutive Python Financial Jobs in Columbus, OH

Executive Python Financial information

See Columbus, OH salary details

$12

$56

$83

How much do executive python financial jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for executive python financial in Columbus, OH is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What finance jobs require Python?

Finance jobs such as quantitative analyst, financial engineer, risk manager, and algorithmic trader often require Python for data analysis, modeling, and automation. Proficiency in Python, along with knowledge of financial concepts and tools like pandas or NumPy, is essential for these roles.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Executive Python Financial, as it is widely used in finance for data analysis, automation, and quantitative modeling. The language's versatility, extensive libraries, and strong community support ensure its continued relevance in the industry through 2026 and beyond.

What jobs make $1,000,000 a year?

Executive Python Financial roles, such as senior quantitative analysts or hedge fund managers, can reach or exceed $1 million annually through base salary, bonuses, and profit sharing. These positions typically require advanced programming skills, financial expertise, and experience in high-stakes investment environments.

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

What is the highest paying job in Python?

The highest paying Python-related job is typically a Machine Learning Engineer or Data Scientist, especially those with expertise in deep learning, AI, and large-scale data processing. Senior roles in finance, such as Quantitative Developer or Quantitative Analyst, also command high salaries due to specialized skills in Python for modeling and algorithm development.
Executive Python Financial jobs near you
Senior Data Engineer

Senior Data Engineer

Lower LLC

Columbus, OH

$102K - $139K/yr

Full-time

Posted 17 days ago

Job description

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.

Job Description:

Lower.com is looking for aData Engineer IIto join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.

Our current stack includesSnowflake,dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools likeClaude Code, Cursor, AI-assisted development, and data-focused automation frameworks- can help us build faster, improve quality, and create better internal data products.

This isa great rolefor someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how datateamswork.

What you'll do:

  • Build,maintain, andoptimizedata pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily inSnowflake, with some legacy warehouse environments such asRedshift.

  • Develop andmaintaintransformation logic, models, and reusable data assets using tools such asdbt.

  • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

  • Support BI andreportingworkflows acrossLookerandDomo, partnering with analysts and business teams to ensure trusted, consistent metrics.

  • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

  • Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows.

  • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

  • Help ensure our data isaccurate,timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such asClaude Code, Cursor, and other agentic AI frameworksto improve development velocity, documentation, testing, data quality, and operational efficiency.

  • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

  • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

  • Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:

  • 3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

  • Strong SQL skills and experience working with large, complex datasets.

  • Experience building andmaintainingproduction data pipelines.

  • Experience with cloud data warehouses such asSnowflake,Redshift,BigQuery, or similar platforms.

  • Experience withdbtor similar data transformation frameworks.

  • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

  • Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

  • Comfort working with BI and analytics tools such asLooker, Domo, Tableau, Power BI, or similar platforms.

  • Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

  • Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

  • Strong problem-solving skills and attention to detail.

  • Ability to work with both technical and non-technical stakeholders.

  • A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience

  • Experience in the mortgage, lending, financial services, real estate, or fintech industries.

  • Hands-on experience withSnowflake,dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such asClaude Code, Cursor, GitHub Copilot, or similar tools.

  • Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

  • Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

  • Familiarity with data governance, data quality testing, observability, and documentation best practices.

  • Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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