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Senior Data Engineer Jobs in Rochester, MI (NOW HIRING)

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We are seeking a Senior Metrology Data Engineer to lead the data access and analysis of the metrics surrounding raw vs. end materials after tooling. In this role, you will bridge the gap between high ...

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Senior Data Modeler, Technical Lead, and Data Architect. - Participate and provide technical ... Developers and Technical Project Managers. - Learn new things, and grow rapidly from constant ...

At Stellantis, the Concept Data Development (CDD) group creates digitally all vehicle customer show ... The Senior Digital Modeler will lead advanced interaction with studio design staff and engineering ...

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Senior Data Engineer information

See Rochester, MI salary details

$74.6K

$116.3K

$161.1K

How much do senior data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior data engineer in Rochester, MI is $116,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $132,500.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are popular job titles related to Senior Data Engineer jobs in Rochester, MI? For Senior Data Engineer jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Rochester, MI look for? The top searched job categories for Senior Data Engineer jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Senior Data Engineer jobs? Cities near Rochester, MI with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Rochester, MI as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Company Description

As the traditional marketing funnel collapses and fragmentation increases, clients rely on Publicis Collective to connect media, data, technology, and teams by what matters most - business outcomes. We're a full-service media agency where nearly half our experts focus on data, research, analytics, technology, or strategy. At Publicis Collective, 100% of our 2,200 global practitioners can access advanced insights and scale media with precision through our proprietary OS, powering marketing that drives measurable business performance and transformation.

Overview

At Publicis Collective, we know tomorrow's challenges won't be solved by today's solutions. It's why we support our teams with the resources and tools they need to continue redefining the future of marketing. It's also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most - business outcomes.

Publicis Collective's consultative practitioners are catalysts for business growth and innovation, we're more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what's possible.

As part of the global Publicis Media network, we're backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet.

How are we different? There are three core values at the center of our approach that help us stay ahead - curious, open, and driven.

Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes.

Open - We value diverse perspectives and new ways of working.

Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence.

If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you.

Let's shape the future together.

Overview:

The Senior Data Scientist collaborates with planning, audience strategy, and analytics teams to address marketing challenges. In this position, you'll provide valuable expertise to the data science group by sharing insights and creating models or solutions tailored to client business needs, leveraging data to craft compelling narratives. Additionally, you will help shape a vision for your assigned accounts and work to make that vision a reality.

Responsibilities
  • Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
  • Produce accurate statistical analysis and ensure high quality of the data analysis produced.
  • Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
  • Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.
Qualifications
  • 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
  • Strong knowledge of Relational Databases and SQL programming
  • Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R
  • Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems
  • Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC)
  • Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA)
  • Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social
  • Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research
  • Strong communication skills- Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups
Additional Information

Our Publicis Groupe motto "Viva La Difference" 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 USMTTACompliance@publicis.com.

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

 Compensation Range: USD $73,150.00 - USD $96,200.00/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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 9/14/2026.Employment Type: FULL_TIME