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Data Engineer 1 Jobs in Ohio (NOW HIRING)

84.51°

Senior Data Engineer

Cincinnati, OH

$98K - $169K/yr

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our ...

84.51°

Senior Data Engineer

Cincinnati, OH · On-site

$98K - $169K/yr

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our ...

The Hartford

Lead Data Engineer - Hybrid

Columbus, OH · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The base pay is just one component of The Hartford's total compensation package for employees.

The Hartford

Lead Data Engineer - Hybrid

Columbus, OH · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The base pay is just one component of The Hartford's total compensation package for employees.

PACCAR Inc

Robotics Software Engineer 1

Chillicothe, OH · On-site

$90 - $120/hr

Robotics Software Engineer 1 Date: Jul 27, 2026 Location: Chillicothe, OH, US, 45601-8829 Company ... T-SQL, SSMS, SSRS, Data Engineering practices; SSIS and Entity Framework / EF Core experience is a ...

84.51°

Lead Data Engineer

Cincinnati, OH

$125K - $207K/yr

Lead Data Engineer Cincinnati, OH; Chicago, IL Overview: 84.51° is a retail data science, insights ... Python 1+ year developing experience with REST APIs 1+ year experience with Kubernetes Pay ...

84.51°

Lead Data Engineer

Cincinnati, OH

$125K - $207K/yr

Lead Data Engineer Cincinnati, OH; Chicago, IL Overview: 84.51° is a retail data science, insights ... Python 1+ year developing experience with REST APIs 1+ year experience with Kubernetes Pay ...

3B Staffing LLC

Security Software Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

... with one or more general purpose programming languages including, but not limited to: Python ... Experience with R and / or data science related Python libraries, such as Numpy, Pandas, Scrappy ...

3B Staffing LLC

Security Software Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

... with one or more general purpose programming languages including, but not limited to: Python ... Experience with R and / or data science related Python libraries, such as Numpy, Pandas, Scrappy ...

Judge Group, Inc.

Data Engineer Level 2

Cincinnati, OH · On-site

$60 - $70/hr

Our client is currently seeking a Data Engineer Level 2 Required Skills * 3+ years of applied data ... Hands-on experience with Generative AI applications, including one or more of: LLM fine-tuning ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience in Data Engineering; * Background in working with AI tools that support areas such as data ...

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Showing results 41-60

All JobsData Engineer 1 JobsData Engineer 1 Jobs in Ohio

Data Engineer 1 information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer 1 jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer 1 in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Data Engineer 1 jobs near you
Infographic showing various Data Engineer 1 job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Senior Data Engineer

84.51°

Cincinnati, OH

$98K - $169K/yr

Full-time

Posted 10 days ago

Job description

Senior Data Engineer

Cincinnati, OH; Chicago, IL

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products.

Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

This role will also have exposure to Python microservice development, leveraging FastAPI, Helm, AKS and other Azure based technologies for building and hosting applications at scale.

Responsibilities:

  • Participate in the design and development of Databricks and Cloud-based solutions
  • Implement automated unit and integration testing
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in data engineering practices, procedures, and ways of working
  • Embrace new technologies and an ever-changing environment

Qualifications, Skills & Experience:

  • 3+ years proven ability of professional Data Development experience
  • 3+ years proven ability of developing with Databricks
  • 3+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python or Java
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Experience with Pipeline Orchestration
  • Experience with CI/CD
  • Experience with version control software
  • Strong understanding of Agile Principles (Scrum)
  • Demonstrates an understanding of AI concepts and patterns.
  • Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Desired Characteristics & Technical Skills:

  • Experience with Azure
  • Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
  • Proficient with Relational Data Modeling
  • Experience with CI/CD pipelines
  • Experience with Python Library Development
  • Experience with FastAPI/Flask service development
  • Experience working with AKS/Kubernetes/Helm
  • Experience with DevOps / Monitoring & Reliability
  • Experience with Structured Streaming (Spark or otherwise)
  • Experience with Kafka and/or Azure Event Hub
  • Experience with Github SaaS / Github Actions
  • Experience with Terraform
  • Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

Pay Range: $98,000 - $169,050 USD

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