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Manager, Data Engineering

Publicis Groupe

New York, NYJob$89–142K/yrSeen 1w agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$89–142K/yr
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Manager, Data Engineering will build data foundations and enterprise products at the intersection of AI, data and technology. This hands-on technical leadership role combines coding and solving data problems with guiding engineers and influencing technical direction. The work focuses on dependable data products, reusable systems and improving how engineering teams build and operate them.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLData ModelingAPI IntegrationFailure HandlingCloud WarehousesLakehousesOrchestrationAutomated TestingDeploymentAI Development ToolsAI Task DecompositionAI Code ReviewConfidential Data HandlingData Issue DiagnosisCommunicationDistributed ProcessingStreaming SystemsSemantic LayersAI Data ServicesMedia and Advertising Technology

Qualifications

5+ Years Data or Software Engineering ExperienceRelevant Technical Degree or Equivalent Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Parental Leave
Tuition Assistance
Paid Time Off

Full job description

Company description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Overview

Join Publicis Groupe at the intersection of AI, data and technology. Help shape a new generation of enterprise products that make complex work simpler and turn information into better decisions. You will combine hands-on building with the opportunity to influence technical direction and deliver work with meaningful business impact.

Build the data foundations that help teams move faster and make better decisions. In this hands-on technical leadership role, you will write code, solve difficult data problems and guide other engineers. You will have room to improve both the systems we operate and the way we build them.

Responsibilities

  • Build and operate scalable pipelines that integrate APIs, files and enterprise systems into dependable data products.

  • Design reusable data models and interfaces for analytics, applications and AI use cases.

  • Implement automated quality checks, reconciliation, lineage and recoverable processing so consumers can trust the data.

  • Use AI coding assistants and agents to accelerate pipeline development, testing, debugging and documentation; verify correctness and performance.

  • Develop reusable components and automate repetitive engineering tasks to reduce maintenance and shorten delivery cycles.

  • Monitor reliability, investigate failures and improve query performance, recovery and infrastructure cost.

  • Collaborate with product, AI engineers and data consumers; review code, mentor colleagues and own delivery through production.

Qualifications

  • 5+ years of data or software engineering experience, including production pipeline delivery and technical leadership.

  • Strong Python and SQL skills, data modeling experience and practical knowledge of API integration and failure handling.

  • Experience with cloud warehouses or lakehouses, orchestration, automated testing and deployment.

  • Regular use of AI development tools, with examples of improving engineering work and catching or correcting generated errors.

  • Ability to diagnose data issues and communicate solutions clearly; a relevant technical degree or equivalent practical experience.

  • How you work with AI

  • Break work into clear tasks, provide useful context to AI tools and review generated code, queries and tests before use.

  • Keep confidential data within approved tools and access boundaries, and judge automation by correctness, maintainability and time saved.

  • Distributed processing experience; streaming systems; semantic layers; data services for AI; or experience in media and advertising technology.

Additional information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected].

All your information will be kept confidential according to EEO guidelines.

Veterans Encouraged to Apply.

#LI-AM2

Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 12/7/2026.

How this job compares

Set against the 2,905 open Data Engineering jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$89–142K/yr
  • New York median$144–218K/yr174 salary ranges
  • US median$125–210K/yr2,348 salary ranges

This range's midpoint, $115K, is 36% below the New York median midpoint ($180K) — in the lowest quarter of Data Engineering salary ranges in New York.

Openings
Olive Jobs lists 225 open Data Engineering jobs in New York and 2,905 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 5 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,535 postings).
Education
1,114 of the 2,905 open Data Engineering jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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