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Senior Python Engineer Jobs in Newark, OH (NOW HIRING)

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers ... Write and maintain production-quality SQL, Python scripts, and transformation workflows. * Partner ...

The Hartford

Sr Cloud Engineer

Columbus, OH · Hybrid

$137K - $205K/yr

Sr Cloud Engineer - IE07NE We're determined to make a difference and are proud to be an insurance ... Familiarity with programming languages such as TSQL, .Net, Powershell, Python, GO. * Strong ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows. * Partner ...

Monitise

Senior AI Solutions Engineer

Columbus, OH · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Python, Typescript/Javascript * 2+ years of experience specifically building LLM-powered ...

ComResource

Senior IAM Engineer (Okta)

Columbus, OH · Hybrid

$100K - $138K/yr

ComResource is looking for a Senior IAM Engineer (Okta). Responsibilities: * Lead enterprise Okta ... Design and implement API-driven automation using PowerShell, Python, and Okta APIs for identity ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities * Deep expertise in ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers ... Python scripts Develop and optimize Power BI dashboards, reports, and semantic models to support ...

Wells Fargo

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

Wells Fargo is seeking a Senior Software Engineer within Core Infrastructure Services (CIS) to ... Strong coding/scripting skills in Python, PowerShell, HCL or other scripting languages. * Solid Git ...

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All JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Newark, OH

Senior Python Engineer information

See Newark, OH salary details

$50.5K

$130.5K

$179.2K

How much do senior python engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for senior python engineer in Newark, OH is $130,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $150,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a Senior Python Engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges Senior Python Engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are popular job titles related to Senior Python Engineer jobs in Newark, OH? For Senior Python Engineer jobs in Newark, OH, the most frequently searched job titles are:
What cities near Newark, OH are hiring for Senior Python Engineer jobs? Cities near Newark, OH with the most Senior Python Engineer job openings:
Senior Python Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Lower LLC

Columbus, OH

$102K - $139K/yr

Full-time

Posted 13 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 a Data Engineer II to 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, maintain and enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.
Our current stack includes Snowflake, 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 like Claude Code, Cursor, AI-assisted development, and data-focused automation frameworks - can help us build faster, improve quality, and create better internal data products.
This is a great role for 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 data teams work.
What you'll do:
  • Build, maintain, and optimize data pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily in Snowflake, with some legacy warehouse environments such as Redshift.

  • Develop and maintain transformation logic, models, and reusable data assets using tools such as dbt.

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

  • Support BI and reporting workflows across Looker and Domo, 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 and maintain production-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 is accurate, timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such as Claude Code, Cursor, and other agentic AI frameworks to 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 and maintaining production data pipelines.

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

  • Experience with dbt or 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 as Looker, 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 with Snowflake, dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such as Claude 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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