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Remote Databricks Data Engineer Jobs in Mentor, OH

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

MLOps Automation Senior Lead Engineer

Cleveland, OH · On-site +1

$100K - $132K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

SCADA Engineer

Cleveland, OH · On-site +1

$85K - $120K/yr

As a SCADA Engineer , you will develop and support supervisory control and data acquisition (SCADA ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

SCADA Engineer

Cleveland, OH · On-site +1

$85K - $120K/yr

As a SCADA Engineer , you will develop and support supervisory control and data acquisition (SCADA ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Senior Electrical Engineer

Cleveland, OH · On-site +1

$104K - $135K/yr

Specifications and Data Sheets (Transformers, Switchgear, Motors, UPS etc.) * Vendor Inquiries, Bid ... For candidates outside this area, a remote arrangement may be considered, with required travel to ...

Senior Product Manager (Remote)

Cleveland, OH · Remote

$129K - $170K/yr

... Engineering, Operations, Customer Success, Sales, Data Analytics, and AI/ML. This is a fully remote ... role, working with fully remote teams. Leading and influencing across departments in a distributed ...

Automation Engineer

Cleveland, OH · On-site +1

$100K - $125K/yr

... data pipelines, and supporting services that eliminate manual work and connect our systems. AI is ... This position can be fully remote, but must be in the Eastern or Central Time zone. This position ...

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Remote Databricks Data Engineer information

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$39.8K

$116K

$158.7K

How much do remote databricks data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote databricks data engineer in Mentor, OH is $115,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Mentor, OH?

The most popular types of Databricks Data Engineer jobs in Mentor, OH are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Mentor, OH?

For Remote Databricks Data Engineer jobs in Mentor, OH, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Mentor, OH look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Mentor, OH are:

What cities near Mentor, OH are hiring for Remote Databricks Data Engineer jobs?

Cities near Mentor, OH with the most Remote Databricks Data Engineer job openings:

Principal Enterprise Data Platform Architect

Mentor, OH • On-site, Remote

Avery Dennison
Plastics Packaging Film and Sheet (including Laminated) Manufacturing • 10K+ employees

$141K - $211K/yr

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Avery Dennison rating

8.9

Company rating: 8.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

7th of 122 rated packaging manufacturers


Job description

Company Description
Why join Avery Dennison
We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com.
Benefits
At Avery Dennison, some of the great benefits we provide are:
  • Inclusive Healthcare: Access to our large network of medical and behavioral health professionals.
  • 401(k) Retirement Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.
  • Medical Insurance: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.
  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description
About the role
As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization. Reporting directly to the Director of Data Excellence & AI Foundations, you will be responsible for defining, architecting, and evolving Avery Dennison's enterprise 10-Layer Data & AI Operating System. In this role, you will lead the technical transition from legacy ETL pipelines toward a modern, high-code Platform Engineering practice grounded in GitOps, Data-as-Code, declarative management, and automated metadata control planes while mentoring and elevating internal engineering talent.
Key Responsibilities
Position Location: Remote
  • Own the global architecture blueprint and technology decision trees for Avery Dennison's enterprise analytical and AI platforms, architecting the 10-Layer Modern Data Operating System across multi-cloud environments (OCI, GCP, Azure).
  • Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, coordinating schema tracking, lineage graphs, data quality observability, GitOps methodologies, reusable developer toolboxes, and context-as-code for LLM reasoning.
  • Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines for corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms.
  • Design and enforce the Universal Security Model incorporating Attribute-Based Access Control (ABAC), fine-grained masking, and Okta/Active Directory identity integration, while implementing SRE-style observability for platform health, latency, query performance, and compute costs.
  • Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering while partnering with HR on technical career progression tracks and competency matrices.

Qualifications
Qualifications
  • Master's or Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field with 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design (including 3+ years leading technical teams in a global enterprise context).
  • Expert technical proficiency in multi-cloud environments (OCI, GCP, Azure), Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake table formats.
  • High-code data engineering mastery in Python, SQL, Apache Airflow, Kafka/Confluent streaming, Change Data Capture (CDC / GoldenGate), Docker, Kubernetes, Terraform, and GitOps CI/CD deployment pipelines (GitHub Actions/GitLab CI).
  • Direct experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and enterprise LLM integrations (Gemini).
  • Strong strategic leadership and communication skills with a proven track record of mentoring technical talent, establishing Universal Security Models (ABAC, RLS, Okta/AD), and presenting complex architectural blueprints to executive sponsors (VP/CIO).

Additional Information
Pay Transparency
The salary range for this position is $141,825 - $211,792 / year.
The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.
Equal Opportunity Employer
Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.
Reasonable Accommodations Notice
If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.
Identity Verification Notice
To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.
Pre-employment Screening Notice
As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.
Videos To Watch
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