Top 290 Editorial Systems Engineer Jobs

Data & AI Engineer
Arizent —New York, NY
- $100,000 - $125,000 a year
- Full-time
- Hybrid work
- Google Workspace
- SQL
- Training & development
- Commuter assistance
- Paid holidays
Quick Apply
Design Engineer, Web
Anthropic —Remote
- $305,000 - $385,000 a year
- Hybrid work
- System design
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Operations, External Artifacts
Anthropic —Remote
- $260,000 - $310,000 a year
- Hybrid work
- Research
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Data Engineer
BDG —New York, NY
- $105,000 - $145,000 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- SQL
- Health insurance
- Dental insurance
Machine Learning Engineer I
Warner Bros. Discovery —New York, NY
- $99,400 - $184,600 a year
- Azure
- Computer Science
- Mid-level
- Wellness program
- Paid holidays
Data Visualization Engineer I 4P-555
4P Consulting Inc. —Birmingham, AL
- Full-time
- Azure
- Computer Science
- Java
Quick Apply
Technical Editor (Journeyman)
Joint Research and Development, LLC —Nellis AFB, NV
- $86,000 - $123,000 a year
- Full-time
- Remote
- Microsoft Excel
- English
- Mid-level
- AD&D insurance
- Disability insurance
Quick Apply
Standards Editor
Anthropic —San Francisco, CA
- $265,000 - $295,000 a year
- Hybrid work
- Mid-level
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
7d
Executive Director, Product and Technology
Endpoints News Media Company, LLC —Remote
- $180,000 a year
- Full-time
- Remote
- Senior level
- AD&D insurance
- Disability insurance
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Editorial and Administrative Specialist
University of Nevada, Reno —Reno, NV
- Full-time
- Background check
- Mid-level
- Residential
- Health insurance
- Dental insurance
Research Engineer II
CICONIX, LLC —San Antonio, TX
- Full-time
- Background check
- CPR Certification
- BLS Certification
Quick Apply
Digital Production and Packaging
Benchmark Education Company LLC —New Rochelle, NY
- $100,000 - $120,000 a year
- Full-time
- 5 years
- Office
- Continuous improvement
Quick Apply
10d
Senior Machine Learning Engineer - Disney Streaming
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer Science
- Writing skills
- Office
Junior Reviewer (Property Condition Reports)
MEDC: Tribal One —Denver, CO
- $22 - $32 an hour
- Full-time
- Hybrid work
- Computer literacy
- Office
- Continuous improvement
- Health insurance
- Paid time off
Quick Apply
10d
Senior Machine Learning Engineer - News
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer science
- Computer Science
- 5 years
Manager, Web Engineering
Anthropic —San Francisco, CA
- $460,000 a year
- On call
- Hybrid work
- Management
- System design
- Office
- Parental leave
- Flexible schedule
Content Systems and AI Specialist - Remote Opportunity!
KinderCare Education —Beaverton, OR
- Full-time
- Remote
- Writing skills
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Product Content Engineer
Instagram —New York, NY
- $162,000 - $227,000 a year
- Computer Science
- 5 years
- Bachelor of Science
Senior Editorial Content Manager
EPAM Systems, Inc. —Remote
- $100,000 - $140,000 a year
- 3 years
- Fair chance
- Senior level
- Health savings account
- AD&D insurance
Senior ML Ops Engineer
Elsevier —Philadelphia, PA
- $95,300 - $179,826 a year
- Full-time
- Java
- APIs
- Senior level

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Data & AI Engineer

Arizent -
New York, NY

Quick Apply

Job Details

Full-time
$100,000 - $125,000 a year

Benefits

Commuter assistance
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Parental leave
Vision insurance
Gym membership
Life insurance

Qualifications

AI models
Performance dashboard reports
Dashboard development
Commercial use (data warehousing systems)
Data Integration (Data management)
Cloud data warehouses
Business intelligence report generation
Business analysis
Dashboard creation support
AI platforms (beyond public GPTs)
Machine learning projects
Prompt engineering
SQL
ETL process automation
Model deployment
Data-driven problem-solving
BigQuery
Project stakeholder communication
Python
Data analytics technologies
Cross-functional communication

Full Job Description

Arizent is a business information company that empowers professional communities by providing insights, analysis, and opportunities to connect. With deep industry expertise and a data-driven platform, we deliver subscriptions, marketing services, live events, and access to Leaders, our executive forum. Our brands include trusted financial services publications such as American Banker, The Bond Buyer, Financial Planning, and National Mortgage News, as well as professional services brands like Accounting Today, Employee Benefit News, and Digital Insurance.

We are looking for creative thinkers with the skills and drive to help advance our vision. If you are interested in bringing 150 years of experience and reputation together with a start-up mentality, then we invite you to get to know us!

To learn more, visit www.arizent.com.

We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses data and AI across our business. Reporting directly our Senior Director of Data and AI, you’ll be building and deploying AI, data, and agentic solutions on platforms like Google Gemini and Claude, design and maintain the data pipelines that power our reporting, and partner with teams across Sales, Marketing, Editorial, and Finance to turn data into decisions.

Key Responsibilities

AI & Agentic Solutions (80%)

Build and deploy agentic solutions on Google Gemini and Claude, ranging from no-code/low-code workflows to multi-agent systems built with Agent Development Kit (ADK).
Partner with teams across Arizent to identify use cases where agents can address real business needs. In collaboration with the Data & AI team, you will develop the full lifecycle from solution mapping to building, testing, agent training, and end-user enablement.
Maintain and continuously test deployed agents to ensure reliability, accuracy, and performance over time.
Collaborate with internal stakeholders and vendors to forecast and measure the impact of agentic solutions, including cost savings, time savings, and quality improvements.

Data Warehouse & Pipeline Management (10%)

Support the Senior Manager of Data & AI in maintaining our BigQuery data warehouse following established workflows and governance practices.
Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services (Reach Marketing, Discovery, Bombora, and others).
Set up and manage scheduled queries to keep dashboards and downstream systems current.
Support audience enrichment, lead and contact enrichment, and internal/external reporting workflows.

Data Quality, Troubleshooting & Reporting (10%)

Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce to preserve data integrity.
Build alerts and monitoring dashboards that surface tracking issues before they affect reporting.
Working closely with Data & AI team leadership to develop and maintain internal and client-facing dashboards in Data Studio that give stakeholders clear views of their KPIs.

Key Performance Indicators (KPIs) or Success Metrics

Data quality: Reporting across the business is consistently accurate and trusted, with measurable reductions in tracking errors and data discrepancies.
Self-service access: Dashboards and recurring reports give internal teams timely, reliable access to the KPIs they need without bottlenecks.
Agentic impact: Deployed agents demonstrate measurable cost or time savings, with documented ROI and adoption across teams.

Skills and Qualifications

Required

1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role.
Proficiency in SQL and Python.
Hands-on experience building agentic solutions, including prompt engineering, tool/function calling, and deploying agents in production using platforms like Google Gemini, Claude, or comparable LLM ecosystems.
Experience designing and building ETL pipelines and integrating multiple data sources.
Strong working knowledge of the Google Cloud ecosystem, especially BigQuery.
Dashboarding experience with Data Studio or a comparable BI tool.
Demonstrated ability to collaborate cross-functionally and translate business needs into technical solutions.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Experience with Agent Development Kit (ADK) or other multi-agent orchestration frameworks.

Preferred

Familiarity with Matillion or comparable ETL/ELT tooling.
Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms.
Prior experience in media, publishing, or B2B information services.
Experience designing data models and warehouse schemas from scratch.

Tools and Systems Used

BigQuery, Data Studio, Google Gemini, Claude, Python, SQL, Matillion, Omeda, Salesforce, Google Analytics, Piano, Google Workspace.

Cross-Functional Collaboration

Works closely with members of the Sales, Marketing, Demand Gen, Editorial, Finance, Product, OLT teams.

Time Allocation

80% - AI and Agentic Solutions
10% - Database Management
10% - Data Troubleshooting

Why Join Arizent?

At Arizent, we believe equal opportunity is more than a policy, it's a source of strength and innovation. We are committed to creating an inclusive workplace where every employee feels valued, respected, and empowered to bring their authentic selves to work. Our Employee Resource Groups (ERGs) play a key role in creating a supportive and enriching work environment.

We offer competitive compensation and a comprehensive benefits package designed to support your well-being and growth. Benefits include:

Medical, dental, and vision coverage
Disability and life insurance
Paid vacation, sick, personal, and mental health days
Parental leave and holiday pay
401(k) program
Pretax transportation benefits
Fitness reimbursement

Salary will be based on experience, skills, knowledge, and location. Applicants are encouraged to include salary expectations in their cover letter.

As an equal opportunity employer, we provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, height and weight, protected veteran status or any other protected status. This policy of equal employment opportunity applies to all terms and conditions of employment.

Compensation Range: $100K - $125K

Quick Apply

Refine Your Search

Editorial Systems Engineer jobs

Data & AI Engineer

Design Engineer, Web

Research Operations, External Artifacts

Data Engineer

Machine Learning Engineer I

Data Visualization Engineer I 4P-555

Technical Editor (Journeyman)

Standards Editor

Executive Director, Product and Technology

Editorial and Administrative Specialist

Research Engineer II

Digital Production and Packaging

Senior Machine Learning Engineer - Disney Streaming

Junior Reviewer (Property Condition Reports)

Senior Machine Learning Engineer - News

Manager, Web Engineering

Content Systems and AI Specialist - Remote Opportunity!

Product Content Engineer

Senior Editorial Content Manager

Senior ML Ops Engineer

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