Top 73 Big data python /java , databricks Jobs in Cincinnati, Oh

SENIOR DATA ENGINEER
Fischer Homes —Erlanger, KY
- Computer science
- Computer Science
- Office
- Profit sharing
- Health insurance
DATA ENGINEER IV
Hudson Manpower —Cincinnati, OH
- $68 - $70 an hour
- Full-time
- Mid-level
- Office
- SQL
- Profit sharing
- Paid training
Quick Apply
Principal Engineer, Data
Ensemble RCM LLC —Blue Ash, OH
- $148,800 - $223,200 a year
- Full-time
- Azure
- DevOps
- Research
- Tuition reimbursement
Snowflake Advanced AI Engineer
Accenture —Cincinnati, OH
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Team Lead – Data Engineering
Capgemini —Cincinnati, OH
- $43.92 - $68.62 an hour
- Contract
- Azure
- Office
- SQL
- Health insurance
- Dental insurance
8d
Data Architecture/Data Fabric Manager - Utilities
Accenture —Cincinnati, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Senior Advanced Solutions Architect - Data Platforms
Kroger Tech & Digital —Blue Ash, OH
- Full-time
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
Backend Developer III
Hudson Manpower —Cincinnati, OH
- Full-time
- Computer Science
- Mid-level
- Office
- Profit sharing
- Paid training
Quick Apply
Platform Engineer III
Hudson Manpower —Cincinnati, OH
- Full-time
- Remote
- System design
- Java
- AWS
- Profit sharing
- Paid training
Quick Apply
SAP Business Data Cloud (BDC) Consultant
Accenture —Cincinnati, OH
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
4d
Snowflake Advanced AI Solution Lead
Accenture —Cincinnati, OH
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Data Architecture/Data Fabric Senior Manager - Utilities
Accenture —Cincinnati, OH
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Cyber AI Data Engineer Senior Consultant
Deloitte —Cincinnati, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Digital Process Engineer
Katalyst Healthcares & Life Sciences —Cincinnati, OH
- Contract
- Hybrid work
- Senior level
- Communication skills
Quick Apply
Director, Data Engineering
Core Specialty —Cincinnati, OH
- Full-time
- Computer science
- Computer Science
- AWS
- Wellness program
- Health savings account
SAP Business Data Cloud (BDC) & Joule Manager
Accenture —Cincinnati, OH
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Azure
- Mentoring
- US work authorization
- Paid holidays
- Disability insurance
4d
Data Architect (P4642)
84.51° —Cincinnati, OH
- $162,000 - $262,200 a year
- 7 years
- System design
- Office
Sr. Databricks Lead
Capgemini —Cincinnati, OH
- $47.34 - $73.96 an hour
- Contract
- Hybrid work
- SQL
- Analysis skills
- Fair chance
- Health insurance
- Vision insurance
Solution Architect (P4643)
84.51° —Cincinnati, OH
- $162,000 - $262,200 a year
- Computer science
- Computer Science
- System design
Senior Forward Deployed Engineer - Databricks
Deloitte —Cincinnati, OH
- $155,600 - $306,800 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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big data python /java , databricks jobs near cincinnati, oh

SENIOR DATA ENGINEER

Fischer Homes -
Erlanger, KY

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Job Details

Benefits

Profit sharing
Health insurance
Tuition reimbursement
401(k) matching
Life insurance

Qualifications

Version control
Data Integration (Data management)
Continuous deployment
Git
SQL
ETL process automation
DevOps automation
Python
Database software proficiency

Full Job Description

Job Summary

As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact.

This position is 100% onsite, day 1 in our Erlanger, KY office.

You will thrive in this role if you:

Enjoy designing scalable data solutions that enable better business decisions.
Are passionate about building reliable, high-performing cloud data platforms.
Take ownership of data quality, governance, and pipeline reliability.
Enjoy solving complex technical challenges while continuously improving existing processes.
Thrive in collaborative environments where you partner with Analytics, Business Intelligence, and Software Development teams.
Stay current with emerging technologies and enjoy applying modern engineering practices to improve efficiency.
Like mentoring others and helping establish engineering standards across a growing team.

These skills will be used to:

Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and related cloud technologies.
Develop and optimize Lakehouse and Data Warehouse architectures for performance, scalability, and cost efficiency.
Modernize legacy SSIS and on-premises data solutions by migrating them to cloud-based platforms.
Build reliable, automated data ingestion processes using incremental loading, orchestration, and monitoring best practices.
Implement data quality testing, validation, and governance to ensure trusted, analytics-ready datasets.
Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics.
Establish reusable engineering patterns, documentation, and development standards for the Data Engineering team.
Troubleshoot and resolve production pipeline issues while continuously improving reliability and operational performance.
Mentor junior engineers and contribute to continuous improvements in source control, CI/CD, and deployment processes.

Required Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
Strong proficiency in SQL and experience with Python (PySpark preferred).
Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
Experience with source control and CI/CD practices using Git or similar tools.
Strong analytical, problem-solving, communication, and organizational skills.

Preferred Qualifications:

Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
Experience with data quality frameworks, pipeline monitoring, and data contracts.
Familiarity with dimensional modeling (Kimball methodology).
Experience working in Agile environments using Scrum or Kanban methodologies.
Experience mentoring or leading other Data Engineers.
Understanding of AI, Machine Learning, and generative AI technologies.
Experience implementing AI-enabled solutions or machine learning models within enterprise data environments.

Physical Demands and Work Environment:

Must be able to use verbal communication skills to effectively interact with associates, business partners, and customers.
Must be able to perform repetitive motions and use fine motor skills while operating standard office equipment.
Must be able to lift and carry approximately 20–25 pounds unassisted.
Must be able to remain seated for extended periods with occasional standing, walking, and reaching.

The Value of a Career with The Fischer Group
The Fischer Group is a family of companies focused on delivering exceptional experiences across homebuilding, financial services, and real estate. Through our businesses, we are committed to quality, growth, and long-term success for both our customers and our Associates.
We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:

Professional Development Training programs
Health Insurance
Tuition Reimbursement
Competitive Compensation
401(k) with Company matching contributions and profit-sharing
Employee Life Insurance
Personal time off
Inclusive Leave

The Fischer Group holds the highest ethical standards of business. We are honest and straightforward and stand by our word. Our actions demonstrate respect, courtesy, and fairness.

Apply Now

Refine Your Search

big data python /java , databricks jobs in cincinnati, oh

SENIOR DATA ENGINEER

DATA ENGINEER IV

Principal Engineer, Data

Snowflake Advanced AI Engineer

Team Lead – Data Engineering

Data Architecture/Data Fabric Manager - Utilities

Senior Advanced Solutions Architect - Data Platforms

Backend Developer III

Platform Engineer III

SAP Business Data Cloud (BDC) Consultant

Snowflake Advanced AI Solution Lead

Data Architecture/Data Fabric Senior Manager - Utilities

Cyber AI Data Engineer Senior Consultant

Digital Process Engineer

Director, Data Engineering

SAP Business Data Cloud (BDC) & Joule Manager

Data Architect (P4642)

Sr. Databricks Lead

Solution Architect (P4643)

Senior Forward Deployed Engineer - Databricks

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Job Summary

This position is 100% onsite, day 1 in our Erlanger, KY office.

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