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Remote Sql Data Engineer Jobs in Michigan (NOW HIRING)

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Proficiency building data processing pipelines using SQL and Python. * Experience with cloud ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... or SQL * Background in systems engineering or application development * Experience creating ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... or SQL * Background in systems engineering or application development * Experience creating ...

System One

Palantir Foundry Data Engineer

Detroit, MI · On-site +1

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... SQL. • Experience designing and implementing complex ontologies within Palantir Foundry ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

CertifID

Senior Data Engineer

Grand Rapids, MI · On-site +1

$101.80K - $138.30K/yr

Write production-grade Python and SQL: modular, tested, version-controlled, and reviewable by ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

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 ...

OneStream Software

OneStream Demo Engineer

Rochester, MI · Remote

$115K - $132.50K/yr

Remote, United States Employment Type : Full-Time Compensation : $115,000.00 - $132,500.00 (Range ... Build and manage data pipelines using C#, SQL, and Python programming languages. * Collaborate with ...

OneStream Software

OneStream Demo Engineer

Birmingham, MI · Remote

$115K - $132.50K/yr

Remote, United States Employment Type : Full-Time Compensation : $115,000.00 - $132,500.00 (Range ... Build and manage data pipelines using C#, SQL, and Python programming languages. * Collaborate with ...

Varsity Tutors

SQL Tutor

Kalamazoo, MI · Remote

$40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

SQL Tutor

Ann Arbor, MI · Remote

$40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

SQL Tutor

Detroit, MI · Remote

$40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Remote Sql Data Engineer information

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

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

How does a Remote SQL Data Engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What does a Remote SQL Data Engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the most commonly searched types of Sql Data Engineer jobs in Michigan? The most popular types of Sql Data Engineer jobs in Michigan are:
What are popular job titles related to Remote Sql Data Engineer jobs in Michigan? For Remote Sql Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Sql Data Engineer jobs in Michigan look for? The top searched job categories for Remote Sql Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Sql Data Engineer jobs? Cities in Michigan with the most Remote Sql Data Engineer job openings:
Remote Sql Data Engineer jobs near you
Infographic showing various Remote Sql Data Engineer job openings in Michigan as of May 2026, with employment types broken down into 79% Full Time, 14% Part Time, 2% Temporary, and 5% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution.
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 8 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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