ZipRecruiter

Log In

1

Junior Data Analytics Engineer Jobs in Michigan (NOW HIRING)

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI

$77K - $202K/yr

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Aptitude or interest in Automotive Engineering. ArcelorMittal Tailored Blanks is an Equal ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Aptitude or interest in Automotive Engineering. ArcelorMittal Tailored Blanks is an Equal ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... Mentor and provide guidance to junior data scientists and analysts, fostering a culture of ...

Hylant

Lead Data & Analytics Architect

Detroit, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Ann Arbor, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Grand Rapids, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

previous pagenext page

Showing results 21-40

All JobsData Analytics Engineer JobsJunior Data Analytics Engineer JobsJunior Data Analytics Engineer Jobs in Michigan

Junior Data Analytics Engineer information

What is a junior data analytics engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a junior data analytics engineer?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a junior data analytics engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Junior Data Analytics Engineer jobs in Michigan? For Junior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Junior Data Analytics Engineer jobs in Michigan look for? The top searched job categories for Junior Data Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Junior Data Analytics Engineer jobs? Cities in Michigan with the most Junior Data Analytics Engineer job openings:
Junior Data Analytics Engineer jobs near you

Data Engineer

Whisker

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Whisker rating

7.7

Company rating: 7.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 156 rated electronics manufacturers

Job description

Whisker is redefining what it means to live with cats-designing intelligent systems that remove friction, elevate the everyday, and celebrate the quiet brilliance of feline companionship. Today, Litter-Robot leads the category. Tomorrow, an entire ecosystem that expands what's possible for cats and the people who love them. We believe the future is feline. And we're imagining that future today.
We work onsite 4+ days a week, with our team based in Auburn Hills, Michigan, and Juneau, Wisconsin. Our team of 700+ passionate pet people thrives on collaboration, innovation, and the occasional office cameo from a four-legged friend.
What You'll Do:
We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision-making across the organization. This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment.
Summary:
The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This role ensures data is reliable, secure, and readily accessible to support analytics, reporting, and machine learning initiatives.
Essential Duties and Responsibilities
  • Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake
  • Develops and optimizes data workflows for batch and streaming data processing
  • Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using DBT)
  • Collaborates with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
  • Writes efficient, well-documented PySpark/SQL code for data transformation and processing
  • Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow
  • Builds and maintains CI/CD pipelines for both data engineering and machine learning model deployment
  • Implements monitoring and alerting for data pipelines and ML models to proactively identify and troubleshoot performance issues, data drift, and failures
  • Monitors, troubleshoots, and optimizes pipeline and model performance, resource utilization, and cost efficiency within Databricks
  • Ensures data quality, integrity, and governance across all pipelines and datasets
  • Manages and optimizes Databricks clusters, jobs, and workflows
  • Integrates Databricks with cloud platforms (Azure, AWS, or GCP) and other enterprise systems
  • Implements data security best practices, including access controls and data masking
  • Mentors junior data engineers and provide technical guidance on best practices, including MLOps standards
  • Participates in architecture reviews and contribute to the evolution of the data and ML platform strategy
  • Documents technical designs, data models, pipeline processes, and ML deployment workflows
  • Stays current with emerging tools, technologies, and best practices in data engineering and MLOps
  • Performs additional responsibilities when required

Requirements
What You'll Bring:
  • BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent years of experience
  • 8+ years of professional software engineering experience, including 3+ years directly managing engineers with ownership of hiring, performance, and career development
  • Demonstrated success leading backend service teams at consumer scale with distributed services and APIs supporting a large installed base of application users or devices
  • Expertise in API design and service architecture, including versioning and backward compatibility for clients that cannot all be upgraded at once
  • Experience with high-volume data ingestion and event-driven architecture (Kafka, Kinesis, or equivalent), including the pipelines that feed analytics and machine learning
  • A track record of driving measurable reliability improvement - fewer or less severe incidents, improved uptime, a healthier on-call practice, or materially more stable deployments
  • Experience leading distributed teams across multiple time zones, including blended teams of full-time employees and contractors or outsourced partners
  • Experience inheriting an existing team and improving retention, role clarity, and delivery predictability
  • Proven ability to recruit, level, and develop engineers, including promoting individual contributors into senior and lead roles
  • Current technical credibility: able to review code, lead architecture discussions, and prototype solutions independently.
  • Working experience with AWS infrastructure and the ability to own cloud architecture, cost, and capacity decisions for the services their team runs.
  • Familiarity with platform engineering practice such as infrastructure as code, CI/CD pipelines, containerization or serverless deployment models, and observability tooling sufficient to set direction and hold quality standards
  • Ability to work a hybrid schedule based out of Whisker's Auburn Hills, Michigan headquarters
  • Maintains confidentiality of proprietary information
  • Ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions
  • A high degree of initiative, self-motivation, and ability to motivate others
  • Ability to establish and maintain cooperative working relationships with Team Members and colleagues
  • Comfortable with office pets (cats, dogs)

Not Required but Nice to Have!
  • Strongly preferred experience with IoT or connected-device platforms, device telemetry, fleet management, over-the-air updates, MQTT or similar protocols
  • Background at a consumer hardware or connected-product company where software ships alongside physical product
  • Experience managing the firmware-to-cloud boundary and hardware-dependent release trains, including field failure analysis
  • Deeper platform or SRE background such as Kubernetes, ECS, Terraform, or equivalent at production scale
  • Experience with GraphQL and API gateway patterns
  • Experience with time-series or purpose-built IoT data stores
  • Experience transitioning a contractor-heavy team toward a stronger full-time core without disrupting delivery
  • Experience in a direct-to-consumer or subscription business
  • Prior Director of Engineering experience is welcome - this role owns a broad scope across several service domains

Benefits & Purrks:
Join a tenacious, inventive company that empowers team members to chart their own path, lead by grounding decisions in the "why", and has a strong sense of empathy and openness to new perspectives. Be a part of exciting growth, work with incredible people, and create tomorrow's pet products-plus a whole lot of extras. You will also be provided with:
  • Premium Medical/Dental/Vision insurance
  • Paid parental leave
  • Whisker Parents Program
  • 1 day "pawternity" leave for new pet adoption
  • Pet Insurance Discount
  • 401K match
  • Flexible spending accounts
  • Company-paid short-term disability and life insurance
  • Employee Assistance Program (EAP)
  • Generous paid time off
  • 14 Paid Holidays
  • Top of the line equipment
  • Pet-friendly office
  • Whisker products and swag
  • Continuing education Support
  • On-site gym with Peloton
  • Referral program

Statement of Inclusivity:
We believe different perspectives make Whisker better and strive to create a place where everyone has equal opportunities to thrive.
Please ensure to regularly check your email spam folder for any communication from Whisker to avoid missing important updates regarding your application status.

What Whisker employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply