Top 8 Big data python /java Jobs in Cincinnati, Oh

Senior Data Engineer (P1129)
84.51° —Cincinnati, OH
- $98,000 - $169,050 a year
- Computer Science
- Office
- 3 years
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
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
Automation Developer
Great American Insurance Company —Cincinnati, OH
- Full-time
- Computer Science
- Mid-level
- Office
- Commuter assistance
- Employee stock purchase plan
Quick Apply
6d
Cyber AI Data Engineer Senior Consultant
Deloitte —Cincinnati, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
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

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Analyze, design, develop, and test software programs and systems with a focus on search technologies. Bachelor’s degree in Computer Science or a related field.

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big data python /java jobs near cincinnati, oh

Senior Data Engineer (P1129)

84.51° -
Cincinnati, OH

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Job Details

$98,000 - $169,050 a year

Qualifications

Commercial use (data warehousing systems)
Databricks
Data Integration (Data management)
Spark
Bachelor's degree
Version control systems
Agile software development
DevOps automation

Full Job Description

84.51° Overview:

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 Aure based technologies for building and hosting applications at scale.

RESPONSIBILITIES:
Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities:

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.)

#LI-AB1

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Refine Your Search

big data python /java jobs in cincinnati, oh

Senior Data Engineer (P1129)

Snowflake Advanced AI Engineer

Snowflake Advanced AI Solution Lead

Automation Developer

Cyber AI Data Engineer Senior Consultant

Backend Developer III

Platform Engineer III

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