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Manager Data Analytics Engineer Jobs in Carleton, MI

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

... chain management is what we do, but at the heart of Expeditors you will find professionalism ... This is first and foremost an analytics-focused data engineering role. The ideal candidate has ...

Pwc

Data Governance- Manager

Toledo, OH · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Pwc

Data Governance- Manager

Detroit, MI · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Megan soft Inc

Data / BI Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Data/Analytics dashboards Experience Required: Specialist Exp: 5+ experience in relevant field Key ... Partner with Data Engineering, Data Science and Data Management teams to improve data completeness ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... Analytics and Business Intelligence platform focused on providing solutions that empower our ... pipeline to store, manage, store, and provision to data consumers. -Being an active and ...

Belcan

Automotive Data Analyst

Dearborn, MI · Hybrid

$30 - $35/hr

This pivotal role is ideal for candidates with a robust background in data analytics for engineering who are seeking to continue their career in the automotive industry. Responsibilities: * Safety ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

The engineer will collaborate with existing team members, including Software Analysts and Scrum ... Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline ...

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Showing results 41-60

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Carleton, MI

Manager Data Analytics Engineer information

See Carleton, MI salary details

$40.4K

$117.7K

$161.1K

How much do manager data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data analytics engineer in Carleton, MI is $117,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What cities near Carleton, MI are hiring for Manager Data Analytics Engineer jobs? Cities near Carleton, MI with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Data Engineer III/Senior (Analytics)

Expeditors

Romulus, MI • On-site

$102K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Expeditors rating

8.1

Company rating: 8.1 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

43rd of 360 rated logistics

Job description

Company Description
"We're not in the shipping business; we're in the information business" -Peter Rose, Expeditors Founder
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.
  • 15,000 trained professionals
  • 250+ locations worldwide
  • Fortune 500
  • Globally unified systems

Job Description
We are seeking a highly skilled and hands-on Data Engineer III or Senior Data Engineer (Analytics Focus) to design, build, and support enterprise analytics solutions, data models, and reporting experiences that enable data-driven decision making across the organization.
This is first and foremost an analytics-focused data engineering role. The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful candidate will be responsible for developing and maintaining enterprise data models, semantic layers, reporting datasets, and analytical applications that support operational reporting, executive dashboards, self-service analytics, and advanced business insights.
This role sits within the engineering discipline and works closely with product teams, platform engineers, architects, and business stakeholders to ensure enterprise reporting and analytics solutions are built on reliable data foundations, aligned with business objectives, and capable of scaling with future needs.
This position supports the Americas geography under the IS organization and contributes to initiatives that enhance operations across 70+ offices in multiple countries.
A Successful Data Engineer III / Senior Data Engineer:
  • Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI.
  • Design and develop semantic models and reporting datasets that support self-service analytics and executive reporting.
  • Creating intuitive, user-focused reporting experiences that improve data visibility and decision making.
  • Translating complex business requirements into scalable analytical solutions.
  • Establishing data quality standards and validation processes that ensure trust in reporting.
  • Optimizing analytics solutions for performance, usability, and maintainability.
  • Leading data design discussions and influencing data architecture and modeling best practices.
  • Collaborating effectively with business stakeholders to define KPIs, metrics, and reporting requirements.
  • Mentoring team members and promoting engineering excellence through collaboration, design reviews, and knowledge sharing.

Major Duties and Responsibilities
Technical Depth and Delivery
  • Lead the development of enterprise data models, semantic layers, analytics solutions, and reporting datasets that provide trusted and scalable business insights.
  • Establish and promote best practices for data quality, testing, automation, observability, version control, CI/CD and operational excellence across analytics solutions.
  • Provide technical leadership through code reviews, solution design guidance, and mentorship of engineers on performance, maintainability, scalability, and solution quality.

Architectural Scale
  • Design scalable data models, reporting architecture, and analytics solutions that support current and future business needs.
  • Partner with architects and engineering leaders to ensure solutions align with enterprise engineering principles and standards for metric governance, semantic modeling, and analytics solutions.
  • Evaluates scale on solution footprint

Team Collaboration Scale
  • Collaborate with engineering, architecture, product, and business teams to deliver high-impact analytics capabilities.
  • Serve as a trusted technical partner in translating business requirements into actionable data and reporting solutions.
  • Mentor team members through coaching, knowledge sharing, and constructive technical feedback.

Influence and Advocacy
  • Advocate for analytics engineering best practices, standardized metrics, and data-driven decision making across teams and department.
  • Communicate technical concepts, data insights, and solution recommendations to both technical and non-technical audiences.
  • Influence reporting, data modeling, and analytics strategies through active participation in architectural and business discussions.

Scope of Vision
  • Develop and communicate a strategic vision for analytics, reporting, and data visibility solutions aligned to business priorities.
  • Identify opportunities to improve organizational visibility, operational performance, and analytical capabilities by balancing immediate delivery needs with long-term sustainability, scalability, and maintainability of analytics solutions.

Scale of Business Understanding and Impact
  • Develop a deep domain knowledge of logistic operations, understanding business processes and key performance metrics to guide solution design.
  • Ensure analytics solutions deliver actionable insights that support measurable business outcomes and operational improvements.
  • Continuously improve the usability, accessibility, and effectiveness of data products, reports, and analytical experiences for end users.

Qualifications
Minimum Qualifications (Levelled at Offer)
Data Engineer III:
  • Bachelor's degree with 5+ years, or Master's with 3+ years, or equivalent experience

Senior Data Engineer:
  • Bachelor's degree with 10+ years, Master's with 5+ years, or PhD with 3+ years

For both levels:
  • Advanced proficiency in designing, developing, and optimizing enterprise data models and semantic layers that support scalable analytics.
  • Demonstrated expertise in developing scalable reporting and analytics solutions using enterprise visualization tools.
  • Knowledge of data governance, data privacy regulations (e.g., GDPR, CCPA), and best practices for ensuring data security and compliance.
  • Expert-level proficiency in writing, optimizing, and troubleshooting complex SQL queries across multiple databases

Desired Qualifications
  • Proven expertise designing and implementing end-to-end analytics solutions using Microsoft Fabric and Databricks, including data modeling, semantic layer development, performance optimization, and analytics architecture.
  • Expert proficiency in data visualization applications, including Power BI, Tableau, and Python visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
  • Experience implementing Git-integrated CI/CD frameworks for Microsoft Fabric, Databricks, and analytics platforms, including automated validation, deployment pipelines, release governance, and measurement of engineering performance through DORA metrics.
  • Relevant certifications in Analytics and Cloud platforms (Databricks Data Engineer Professional, Power BI Data Analyst, Azure Solutions Architect Expert)

Additional Information
The annual salary for this position is between $130,000 to $170,000 depending on level and location.
The position is an in-office/onsite position that is based in one of these locations.
  • Atlanta GA
    • 2764 Anvilblock Rd, Ellenwood, GA 30294, USA
  • Detroit MI
    • Romulus Ave, Romulus, MI 48174, USA
  • Edison NJ
    • 150 Raritan Center Pkwy, Edison, NJ 08837, USA
  • Dallas TX
    • 1101 Valley View Ln, Irving, TX 75061, USA

Expeditors also offers 26 remote days per year that can be used as needed.
Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
Expeditors offers excellent benefits
  • Paid Vacation, Holiday, Sick Time
  • Health Plan: Medical, Prescription Drug, Dental and Vision
  • Life and Long Term Disability Insurance
  • 401(k) Retirement Savings Plan (US only)
  • Employee Stock Purchase Plan
  • Training and Personnel Development Program
  • All your information will be kept confidential according to EEO guidelines.

For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.

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