Top 69 Lead software engineer big data python /java , databricks Jobs in Blue Ash, Oh

Lead Data Engineer (P4519)
84.51° —Cincinnati, OH
- $125,000 - $207,000 a year
- Computer science
- Azure
- Computer Science
Software Engineer AI/ML
GE Aerospace —Evendale, OH
- $112,000 - $150,000 a year
- Full-time
- Remote
- Computer Science
- Pass drug screening
- 3 years
- Paid parental leave
- Disability insurance
AI Engineer
Procter & Gamble —Cincinnati, OH
- $85,000 - $122,200 a year
- Full-time
- Hybrid work
- Computer Science
- English
- Office

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Software Engineer AI/ML
GE Aerospace —Evendale, OH
Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field from an accredited college or university.
$112,000 - $150,000 a year
Lead Data Engineer (P4519)
84.51° —Cincinnati, OH
As a member of our engineering team, you will use cutting-edge technologies to develop applications that turn our data into actionable insights used to…
$125,000 - $207,000 a year

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lead software engineer big data python /java , databricks jobs near blue ash, oh

Lead Data Engineer (P4519)

84.51° -
Cincinnati, OH

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Job Details

$125,000 - $207,000 a year

Qualifications

Commercial use (data warehousing systems)
Databricks
Data Integration (Data management)
Kubernetes
RESTful API
Spark
SQL
Bachelor's degree
Agile software development
Python
Agile planning

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°!

__________________________________________________________

Lead Data Engineer

We are a full-stack data science company and a wholly owned subsidiary of The Kroger Company. We own 10 petabytes of data and collect 35+ terabytes of new data each week sourced from 62 million households. As a member of our engineering team, you will use cutting-edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Kroger. We practice Agile development with Big Room Planning to align cross-functional squads—Product, Architecture, Data Science, and Engineering—around building scalable enterprise applications.

SUMMARY:
As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to build products, tools, and features that power customer personalization at scale. Communication and Collaboration with Product and Data science are critical to success and are expected for this role to be successful.

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

Develop Business Domain understanding, bridges this to technical stakeholders
Sets technical strategy in partnership with Data Science, Product, Architecture, and Kroger partners
Oversees team(s) of Engineers including operations and development, blended Offshore/Onshore
Provide mentoring to junior resources
Lead design and development of Databricks-based solutions
Perform development of REST APIs hosted in Kubernetes
Execute unit and integration testing
Collaborate with senior resources to ensure consistent development practices
Bring new perspectives to problems and be driven to improve yourself and the way things are done

QUALIFICATIONS, SKILLS, AND EXPERIENCE:
Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
5+ years proven ability of professional data development experience
Strong understanding of Agile Principles (Scrum)
5+ years proven ability of developing with Spark (Databricks, PySpark)
Full understanding of ETL concepts and data warehousing concepts
3+ year developing experience with Python
1+ year developing experience with REST APIs
1+ year experience with Kubernetes

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