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Data Engineer Two Jobs Near Me

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

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 ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Lead the development of Data Vault 2.0 models and ensure consistency across projects * Architect ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

Lead the development of Data Vault 2.0 models and ensure consistency across projects * Architect ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Lead the development of Data Vault 2.0 models and ensure consistency across projects * Architect ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... Data Vault 2.0 models and ensure consistency across projects Architect and orchestrate data ... automation, DevOps practices, and version control for data pipelines and reporting assets ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Lead the development of Data Vault 2.0 models and ensure consistency across projects * Architect ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

They are seeking a Data Engineer to build and maintain data ingestion systems, ensure data quality ... 2 AM on a Friday. • Experience troubleshooting and resolving production incidents: diagnosing ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Participate in on-call support rotation for complex tier-2/3 incidents. * Stay ahead of industry ...

... - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft ...

Software Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Software Engineer II About Mimecast Relentless protection. Resilient world. Mimecast was born in ... Build and maintain services that process data at enterprise scale from email and collaboration ...

Software Engineer II

Columbus, OH

$94K - $128K/yr

Software Engineer II About Mimecast Relentless protection. Resilient world. Mimecast was born in ... Build and maintain services that process data at enterprise scale from email and collaboration ...

Software Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Software Engineer II About Mimecast Relentless protection. Resilient world. Mimecast was born in ... Build and maintain services that process data at enterprise scale from email and collaboration ...

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 ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

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 ... Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Enablement of at least 2-3 high-value AI/analytics use cases * Contribution to platform ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Enablement of at least 2-3 high-value AI/analytics use cases * Contribution to platform ...

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Enablement of at least 2-3 high-value AI/analytics use cases * Contribution to platform ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... In this role, you will embrace the role of "full-stack" data scientist, which will often require ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... In this role, you will embrace the role of "full-stack" data scientist, which will often require ...

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Showing results 1-20

Data Engineer Two information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer two jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data engineer two in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Data Engineer Two jobs? Cities with the most Data Engineer Two job openings:
What states have the most Data Engineer Two jobs? States with the most job openings for Data Engineer Two jobs include:
A map of the United States highlighting the number of Data Engineer Two job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Engineer Two job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Senior Data Engineer

Senior Data Engineer

Lower LLC

Columbus, OH • On-site

$102K - $139K/yr

Full-time

Re-posted 2 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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