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Contract Financial Data Engineer Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

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 ...

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 ***** Title: Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What ...

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First ...

Health IT Data Engineer

Continental, OH · On-site

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Employment is contingent upon contract award and successful completion of any required background ...

Support efforts to meet financial regulations and cybersecurity standards in all data-related ... DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data ...

Project - Data Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Project - Data Engineer II

Cincinnati, OH · On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Senior Data Engineer

Cincinnati, OH · On-site

$55 - $70/hr

Contract Job ID: 178780 Job Overview: We are seeking a highly skilled and experienced Senior Data ... Provide sensitive financial information such as credit card numbers or banking information.

New

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Support efforts to meet financial regulations and cybersecurity standards in all data-related ... DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Support efforts to meet financial regulations and cybersecurity standards in all data-related ... DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Support efforts to meet financial regulations and cybersecurity standards in all data-related ... DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Support efforts to meet financial regulations and cybersecurity standards in all data-related ... DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data ...

Showing results 41-60

Contract Financial Data Engineer information

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

AspectContract Financial Data EngineerContract Data Analyst
Required CredentialsBachelor's in Finance, Data Science, or related field; experience with SQL, Python, and financial toolsBachelor's in Business, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFinancial institutions, consulting firms, or corporate finance teamsBusiness departments, consulting firms, or market research companies
Employer & Industry UsageUsed in finance, banking, and investment sectorsCommon in marketing, retail, and corporate analysis

The Contract Financial Data Engineer focuses on building and maintaining financial data pipelines, integrating complex financial datasets, and supporting financial modeling. In contrast, the Contract Data Analyst primarily interprets data, creates reports, and provides insights to inform business decisions. While both roles require data skills, the Financial Data Engineer emphasizes data engineering and financial systems, whereas the Data Analyst concentrates on analysis and visualization.

What are the most commonly searched types of Financial Data Engineer jobs in Ohio? The most popular types of Financial Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Contract Financial Data Engineer jobs? Cities in Ohio with the most Contract Financial Data Engineer job openings:

$102K - $139K/yr

Full-time

Re-posted 29 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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