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Databricks Data Engineer Jobs in Ohio (NOW HIRING)

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder ... Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to ...

OH

$110.50K - $132.80K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Data Engineer

Cincinnati, OH · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Columbus, OH · Remote

$125K - $155K/yr

This role blends hands-on data engineering, platform administration, and environment optimization ... Candidates with strong backgrounds in Databricks, Snowflake, or similar modern data platforms ...

New

Data Engineer

Cleveland, OH · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... a Data Engineer to join our IT team! We are looking for someone who is driven, passionate about ... Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ...

Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

They are seeking a Data Engineer consultant to design analytic solutions and optimize data ... Databricks and DBT experience is a plus • Experience building and optimizing data pipelines ...

Data Engineer

Broadview Heights, OH · On-site

$111K - $133.40K/yr

The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient ... Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.). * Strong SQL ...

$102.10K - $122.70K/yr

Lead Data Engineer Python, PySpark & SQL Location: Canada Job Type: Full time contract We are ... Airflow or Databricks experience. * Terraform or CloudFormation. * Experience with data lake ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Sr. Solutions Engineer

Columbus, OH · On-site

$53.25 - $68.75/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large enterprises become more data-driven. The role involves defining and directing the technical strategy ...

$97.20K - $128K/yr

Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution ... About the Role As a Lead Forward Deployed Engineer - Databricks, you will work directly with ...

$116.10K - $153.10K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

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Showing results 1-20

Databricks Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do databricks data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks data engineer 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 Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in Ohio? The most popular types of Databricks Data Engineer jobs in Ohio are:
What job categories do people searching Databricks Data Engineer jobs in Ohio look for? The top searched job categories for Databricks Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Databricks Data Engineer jobs? Cities in Ohio with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Ohio as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

DATA ENGINEER IV

Hudson Manpower

Cincinnati, OH • On-site

$68 - $70/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Job Title: Data Engineer IV
Location: Cincinnati, OH - onsite
Payrate $70/hr on W2.
USC and GC Holder candidates only.
TOP SKILLS:
Must Have
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake
What You'll Do
Squad: Machine Learning Data Enablement squad in the Data Insights Tribe
Required: In office 4 days a week minimum (Monday-Thursday)
We're hiring a Data Engineer to join our newly launched Machine Learning Data Enablement team at Fifth Third Bank. This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
We're looking for an early-career professional who's excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and deployment - and have a strong interest in enabling ML workflows through robust data infrastructure.
You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to help you learn.
This is a hands-on role with high visibility and high impact. You'll be joining a team at the ground level, helping to define how data powers machine learning at scale.
What You'll Get
Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You'll be eligible to earn referral bonuses!
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake