Top 11 Data developers Jobs in Orrville, Oh

Manager, Data Engineering
The J. M. Smucker Company —Orrville, OH
- Full-time
- Hybrid work
- 3 years
- SQL
- Bachelor's degree
Senior BI Developer
The J. M. Smucker Company —Orrville, OH
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
3d
Lead BI Developer
The J. M. Smucker Company —Orrville, OH
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
3d

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Manager, Data Engineering

The J. M. Smucker Company -
Orrville, OH

Apply Now

Job Details

Full-time

Qualifications

Data model design
Cloud analytics services
Databricks
Data Integration (Data management)
Data modeling projects
IT transformation
Implementing cloud migration projects
Systems architecture experience within technology
Spark
Enterprise solutions implementation
Scalable systems
Schema design
SQL
Team development
Data Architecture Design (Architecture design skills)
Cloud engineering team management
Leading team collaboration initiatives
Scalability
Database migration or upgrading
Data analytics tools
Python
Database software proficiency

Full Job Description

Your Opportunity as the Manager, Data Engineering – Enterprise Data Platform

The Manager, Data Engineering is responsible for leading a team of Data Engineers focused on building and operating high-quality data pipelines within a modern cloud data platform. This role combines people leadership, hands-on technical oversight, and operational excellence to deliver trusted, scalable, and efficient data solutions. As part of the Enterprise Data Platforms & Enablement team, this role partners closely with Cloud Engineering, Governance, Architecture, and business stakeholders to support a large-scale transformation from on-premise systems to cloud-native platforms. The Manager ensures that data engineering practices align with modern best practices, including Databricks-based development, medallion architecture (bronze/silver/gold layers), and automated data ingestion frameworks (e.g., Fivetran).

Location: Orrville, OH (Close proximity to Cleveland/Akron)

Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires

In this role you will:

Team Leadership & Delivery
- Lead, coach, and develop a team of Data Engineers, fostering strong technical skills and ownership
- Set clear priorities, manage workload, and ensure timely delivery of data engineering initiatives
- Establish engineering standards, code quality expectations, and best practices across the team
- Partner with stakeholders to translate business needs into scalable data solutions

Data Pipeline Engineering
- Oversee the design, development, and operation of data pipelines built in Databricks
- Ensure pipelines are scalable, reliable, and aligned to medallion architecture standards (bronze, silver, gold)
- Guide implementation of ingestion frameworks using tools like Fivetran and custom ingestion patterns
- Drive consistent development patterns for batch and near real-time data pipelines

Platform & Architecture
- Provide technical leadership for the Databricks platform, including workspace, jobs, clusters, and performance optimization
- Collaborate with Cloud Engineering to ensure seamless integration with AWS services (e.g., S3)
- Ensure alignment with enterprise architecture, including data modeling, partitioning strategies, and storage optimization
- Optimize compute usage for performance and cost efficiency

Data Quality, Governance & Reliability
- Establish and enforce data quality standards, including testing, validation, and monitoring frameworks
- Ensure robust observability across pipelines (monitoring, alerting, lineage visibility)
- Partner with Governance teams to support metadata management and lineage through tools like Atlan
- Enforce security, compliance, and data access standards across all data engineering assets

Operations & Continuous Improvement
- Own production support processes, including incident management, root cause analysis, and prevention
- Establish proactive monitoring and health checks for pipelines and platform performance
- Drive continuous improvement in automation, CI/CD, and release management practices
- Support and lead data migration efforts from legacy on-prem systems to cloud platforms

What we are looking for:

Minimum Requirements:

Bachelor’s Degree or equivalent experience
7+ years of experience in data engineering or data platform roles
3+ years of experience leading and developing technical teams
Experience operating in modern cloud data environments (Databricks, data lakes, or lakehouse platforms)
Proven experience delivering enterprise-scale data pipelines and platforms
Experience supporting cloud migration or modernization initiatives
Strong expertise in Databricks (notebooks, jobs, cluster management)
Proficiency in Python and PySpark for distributed data processing
Advanced SQL skills and experience working with large-scale datasets
Experience designing and operating cloud-based data platforms (AWS preferred)
Experience with data ingestion tools (e.g., Fivetran or similar)
Deep understanding of data modeling and medallion architecture patterns

Additional skills and experience that we think would make someone successful in this role (not required):

AWS services such as S3, IAM, and data storage architectures
Data governance tools such as Atlan or similar
Reporting and visualization tools such as Tableau
CI/CD tools and automation frameworks
Monitoring and observability tools for data platforms

The Right Place for You

We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.

Stay connected with us on LinkedIn®

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

Apply Now

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