Top 125 Data python /java , databricks Jobs in Cincinnati, Oh

Senior Data Engineer (P1129)
84.51° —Cincinnati, OH
- $98,000 - $169,050 a year
- Computer Science
- Office
- 3 years
- Health savings account
- AD&D insurance
Finance Analytics & AI Senior Consultant
Deloitte —Cincinnati, OH
- Full-time
- Azure
- Computer Science
- Up to 50% travel
16h
Finance Analytics & AI Manager
Deloitte —Cincinnati, OH
- Full-time
- Computer science
- Azure
- Management
16h
Specialist Manager, Channel Sales - Databricks - C_MAT
Deloitte —Cincinnati, OH
- $122,000 - $240,500 a year
- Full-time
- Up to 50% travel
- 5 years
- Analysis skills
12d
Data Scientist
Kemper Insurance —Cincinnati, OH
- $93,300 - $155,200 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
9d
Sr Engineer, Data
Ensemble RCM LLC —Blue Ash, OH
- $101,600 - $175,200 a year
- Full-time
- Azure
- 6 years
- SQL
- Tuition reimbursement
Senior Engineer, Telephony
Ensemble RCM LLC —Blue Ash, OH
- $92,400 - $138,600 a year
- Full-time
- Azure
- Computer Science
- Java
- Tuition reimbursement
Forward Deployed Engineer (FDE) - Remote
UnitedHealth Group —United States
- $148,900 - $255,300 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Pass drug screening
AI/ML Computational Science Engineer
Accenture —Cincinnati, OH
- $24.42 - $77.88 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
1h

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data python /java , databricks jobs near cincinnati, oh

Senior Data Engineer (P1129)

84.51° -
Cincinnati, OH

Apply Now

Job Details

$98,000 - $169,050 a year

Benefits

Health savings account
AD&D insurance
Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching

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

Pay Transparency and Benefits

The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Base Pay Range

$98,000 - $169,050 USD

Apply Now

Refine Your Search

data python /java , databricks jobs in cincinnati, oh

Senior Data Engineer (P1129)

Finance Analytics & AI Senior Consultant

Finance Analytics & AI Manager

Specialist Manager, Channel Sales - Databricks - C_MAT

Data Scientist

Sr Engineer, Data

Senior Engineer, Telephony

Forward Deployed Engineer (FDE) - Remote

AI/ML Computational Science Engineer

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