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Surface Pattern Design Jobs in Michigan (NOW HIRING)

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and ... Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and ... Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and ...

HARMAN International

AI Portfolio / PMO Lead

Novi, MI · On-site

Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering ... Identify adoption risks, resistance patterns, readiness gaps, and operational blockers; recommend ...

HARMAN

AI Portfolio / PMO Lead

Novi, MI · On-site

Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering ... Identify adoption risks, resistance patterns, readiness gaps, and operational blockers; recommend ...

New

Plantemoran

Power Platform Developer

Southfield, MI · Hybrid

... design patterns. * Troubleshoot and solve multiple issues concurrently. * Documentation and ... On the surface, we're one of the nation's largest audit, tax, consulting, and wealth management ...

Leggett & Platt

Sewing Machine Operator

Grand Rapids, MI

$14.50 - $17.25/hr

... divisions that design, manufacture, and sell a variety of products. Our reliable product ... From surface-critical bent tube assemblies and molded plywood components to chair mechanisms, bases ...

Leggett & Platt

Sewing Machine Operator

Grand Rapids, MI · On-site

$14.50 - $17.25/hr

... divisions that design, manufacture, and sell a variety of products. Our reliable product ... From surface-critical bent tube assemblies and molded plywood components to chair mechanisms, bases ...

Leggett & Platt

Sewing Machine Operator

Grand Rapids, MI · On-site

$14.50 - $17.25/hr

... divisions that design, manufacture, and sell a variety of products. Our reliable product ... From surface-critical bent tube assemblies and molded plywood components to chair mechanisms, bases ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

... standard design practices.​ Working under the direction of a Data & AI Product Owner, the role ... Support root‑cause analysis by surfacing data patterns and anomalies​ * Product Delivery ...

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All JobsSurface Pattern Design JobsSurface Pattern Design Jobs in Michigan

Surface Pattern Design information

See Michigan salary details

$29.2K

$67.4K

$109.8K

How much do surface pattern design jobs pay per year?

As of Aug 7, 2026, the average yearly pay for surface pattern design in Michigan is $67,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $75,000.00 per year, depending on experience, location, and employer.

What are the typical daily tasks and collaborative aspects of a surface pattern design role?

As a Surface Pattern Designer, your days often involve creating original patterns, refining design concepts, and preparing files for print or digital use. You may collaborate closely with product developers, marketing teams, and manufacturers to ensure your patterns align with brand identity and technical requirements. Communicating ideas with team members, presenting design drafts, and incorporating feedback are common aspects of the workflow. This collaborative process helps ensure the final patterns are both innovative and commercially viable, making teamwork and communication central to success in this role.

What is a surface pattern design?

A Surface Pattern Design job involves creating repeating patterns and decorative designs for various surfaces, such as textiles, wallpaper, packaging, and products. Designers use hand-drawn or digital techniques to develop visually appealing patterns that enhance a product's aesthetic and marketability. They often work with brands, manufacturers, or as freelancers, collaborating with clients to align designs with trends and brand identity. This role requires creativity, proficiency in design software like Adobe Illustrator or Photoshop, and an understanding of color, composition, and pattern repetition.

What are the key skills and qualifications needed to thrive in the surface pattern design position, and why are they important?

To thrive in Surface Pattern Design, strong skills in illustration, color theory, and textile or graphic design are essential, often supported by a degree in design or a related field. Proficiency in design software such as Adobe Illustrator, Photoshop, and other digital drawing tools is commonly required. Creativity, attention to detail, and the ability to incorporate feedback are important soft skills for excelling in this role. These abilities ensure that designs are visually appealing, meet client or market needs, and are ready for production in competitive design environments.

How do you become a surface pattern designer?

To become a surface pattern designer, you typically need to develop strong skills in drawing, color theory, and digital design tools like Adobe Photoshop or Illustrator. Building a portfolio of original patterns and gaining experience through internships or freelance work can help establish your career in the field.
What are the most commonly searched types of Surface Pattern Design jobs in Michigan? The most popular types of Surface Pattern Design jobs in Michigan are:
What are popular job titles related to Surface Pattern Design jobs in Michigan? For Surface Pattern Design jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Surface Pattern Design jobs in Michigan look for? The top searched job categories for Surface Pattern Design jobs in Michigan are:
Surface Pattern Design jobs near you
Infographic showing various Surface Pattern Design job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,441 per year, or $32.4 per hour.

Principal Data Engineer

Utilidata

Ann Arbor, MI • On-site

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We\'re looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data systems that underpin our products, make critical design decisions about how we collect, process, store, and serve data at scale, and raise the bar for the entire team through your judgment, communication, and hands-on engineering. You\'ll operate at the intersection of deep technical work and cross-functional leadership, translating product goals into sound engineering plans and guiding the team through ambiguity to deliver real results. You\'ll own the component-level architecture for the data platform while working in close partnership with the platform architect to ensure alignment with the end-to-end platform vision and architecture. You\'ll join a diverse team of experts who are mission-driven, collaborative, and adaptive, and guide the team through the challenges of building reliable, performant data infrastructure in a fast-moving environment.
Responsibilities
  • Architect and contribute directly to core platform components, including ingestion pipelines, transformation frameworks, data models, and orchestration
  • Define and evolve the multi-quarter technical roadmap for the data platform, balancing new capabilities, reliability investments, and technical debt reduction in alignment with the broader platform architecture
  • Drive evaluation and adoption of tooling across the stack, ensuring choices are well-reasoned and aligned with where the platform needs to go
  • Lead architecture reviews and design discussions, ensuring decisions are well-reasoned, documented, and understood by the team
  • Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises
  • Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria
  • Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity
  • Run a lightweight but effective backlog and planning process, keeping the team focused and unblocked
  • Mentor and grow engineers with an emphasis on raising technical depth — delegate meaningful work, pair on hard problems, and create opportunities for others to stretch
  • Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management
  • Ensure data systems work reliably in production — instrumented, observable, and operable, with clear SLAs on freshness, completeness, and accuracy

Minimum Qualifications
  • At least 8 years of experience in data engineering, with 2+ years operating at a principal or staff level
  • Proven ability to design and evaluate end-to-end data platforms across ingestion, transformation, storage, and serving, with clean contracts between layers
  • Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and streaming pipelines at scale
  • Strong understanding of data modeling and storage strategies
  • Strong software engineering fundamentals, with the depth to evaluate code quality and set architectural standards
  • Strong experience with cloud data infrastructure (AWS, GCP, or Azure) and the surrounding ecosystem
  • Demonstrated ability to lead technical teams, set direction, and grow engineers without relying on formal authority

Enhanced Qualifications (Nice to Have)
  • Experience with streaming architectures (Spark Structured Streaming, Delta Live Tables, Kafka)
  • Familiarity with data quality and observability tooling (Great Expectations, Monte Carlo, Soda, or similar)
  • Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI)
  • Experience with data collection from edge devices
  • Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual\'s skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming, and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Apply