Top 15 big data engineer Jobs in cleveland, oh

Cyber AI Data Engineer Senior Consultant
Deloitte —Cleveland, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
6d
Software Engineer, Data Infrastructure & Acquisition - Cleveland, OH, USA
Speechify —Cleveland, OH
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
11d
Responsible AI Engineer
Accenture —Cleveland, OH
- $68,300 - $220,400 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Cleveland, OH
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
iOS Mobile Application Developer
Fortune Brands —North Olmsted, OH
- $90,000 - $143,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Mid-level
- Health insurance
- Adoption assistance
Quick Apply
Sr Databricks Data Engineer
Deloitte —Cleveland, OH
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
13d
Engineer
Tata Consultancy Services —Cleveland, OH
- $100,000 - $120,000 a year
- Computer Science
- SQL
- Bachelor's degree
- Commuter assistance
- Health insurance
Senior Applications Developer
Sherwin-Williams —Cleveland, OH
- $132,891 - $140,086 a year
- Full-time
- 18 years or older
- Microsoft Access
- Computer Science
Applications Engineer
Peak Technologies —Chesterland, OH
- Full-time
- Computer science
- Computer Science
- English
Quick Apply
Senior GenAI Engineer
Deloitte —Cleveland, OH
- $102,500 - $210,600 a year
- Full-time
- Computer Science
- 5 years
- Java
5d
Sr. Software Engineer II – Back End - Access Control
AXS —Cleveland, OH
- $131,400 - $148,500 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Health savings account
- Paid holidays
14d
Data Engineering Leader
Deloitte —Cleveland, OH
- $130,900 - $268,700 a year
- Full-time
- Azure
- Computer Science
- AWS
1d

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big data engineer jobs near cleveland, oh

Cyber AI Data Engineer Senior Consultant

Deloitte -
Cleveland, OH

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Job Details

Full-time
$105,400 - $207,800 a year
6 days ago

Qualifications

AI models
Data model design
Systems integration
Software engineering
Data Integration (Data management)
Data modeling projects
Data Retention (Data management)
Automation software
Testing and evaluation
Regulatory compliance
Compliance audits & assessments
Security classification
Generative models
Metrics Reporting
Schema design
Enterprise software systems development
Audit Reporting
SQL
Machine intelligence
Data classification
Model deployment
Integration Platforms (Enterprise solutions)
Data access controls implementation
Retention policy implementation
IT control testing
Access control classification
Cloud solution engineering
Metadata
Data encryption implementation
Batch data processing

Full Job Description

Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?

If yes, then Deloitte's Cyber team could be the place for you.

We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations-built with strong governance, lineage, privacy-by-design, and audit-ready evidence.

This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth and Transformation on the Cyber team, you will be responsible for:

Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.
Designing data models for risk and controls domains, including key risk indicators, issues and defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions, and enabling self-service analytics and dashboards.
Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.
Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.
Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces, event patterns, and connectors, with observability and runbooks for production support.
Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

The team

You will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets-reference architectures, accelerators, and governance patterns-to help clients modernize and scale cyber and GRC programs.

Qualifications

Required:

Bachelor's degree or equivalent practical experience.
4+ years of experience in data engineering and software development using Python and SQL.
Experience building production data pipelines and data models for batch processing, stream processing, or both, and deploying solutions using cloud platforms, containers, infrastructure as code, application programming interfaces, and secrets management.
Experience implementing data governance controls including data classification, personally identifiable information handling, least-privilege access, encryption, secrets management, retention, audit logging, and lineage or metadata management.
Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns.
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Experience in consulting or a Big 4 environment.
Experience with Java, Go, or JavaScript.
Experience integrating with ServiceNow GRC, Archer, OneTrust, or BigID and building evidence pipelines mapped to control objectives.
Experience building pipelines for security information and event management, security orchestration, automation, and response, vulnerability, identity, or cloud security posture data.
Experience operationalizing large language model operations or machine learning operations capabilities, including evaluation, monitoring, versioning, and governance workflows.
Security certification such as CompTIA Security+, Certified Information Security Manager, Certified Information Systems Auditor, Certified Information Systems Security Professional, or a cloud certification.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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big data engineer jobs in cleveland, oh

Cyber AI Data Engineer Senior Consultant

Software Engineer, Data Infrastructure & Acquisition - Cleveland, OH, USA

Responsible AI Engineer

Data Engineer - Manager

iOS Mobile Application Developer

Sr Databricks Data Engineer

Engineer

Senior Applications Developer

Applications Engineer

Senior GenAI Engineer

Sr. Software Engineer II – Back End - Access Control

Data Engineering Leader

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