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Remote Sql Data Engineer Jobs in Michigan (NOW HIRING)

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

... programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site +1

$112K - $148K/yr

Python - analysis tooling, data processing, packaging/distribution. * MATLAB - engineering ... Databases - SQL and NoSQL (e.g., MongoDB). * AI/LLM tooling - MCP servers or integrating AI ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

ALTEN Technology USA

Senior Apriso Developer

Troy, MI · Remote

$52.25 - $67.50/hr

Ability to work independently in a remote environment Key Responsibilities: * Design, develop ... C#, .NET, SQL Server, T-SQL, XML, JavaScript, REST APIs, SOAP, SAP, Oracle. Preferred ...

Team Velocity

Senior Full Stack .NET Developer

Detroit, MI · Remote

$150K - $175K/yr

Experience with SQL Server, PostgreSQL, MySQL, and related data technologies * Familiarity with ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

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Remote Sql Data Engineer information

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 are the key skills and qualifications needed to thrive as a remote SQL data engineer?

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 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

MLOps Engineer // REMOTE / Work-Life Balance

Motion Recruitment

Detroit, MI • Remote

Contractor

Medical, Dental, Vision

Posted 6 days ago

Job description


An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise environments.
This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements.
Required Skills & Experience
  • 3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
  • Experience deploying machine learning models into production environments
  • Strong Python development and scripting skills
  • Hands-on experience with AWS cloud services
  • Experience with Databricks or comparable data/AI platforms
  • Experience building and maintaining CI/CD pipelines
  • Docker and Kubernetes experience
  • Monitoring, observability, and incident response experience
  • Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
Desired Skills & Experience
  • Exposure to large language models (LLMs) and generative AI systems
  • Experience with AI cost optimization and resource management
  • SQL and data analytics experience
  • Infrastructure-as-Code experience
  • Model versioning and reproducibility knowledge
  • Experience supporting enterprise-scale AI workloads
What You Will Be Doing
Tech Breakdown
  • 40% Cloud Infrastructure (AWS, Databricks)
  • 25% Kubernetes & Container Management
  • 20% CI/CD & Deployment Automation
  • 15% Monitoring, Observability & Reliability

Daily Responsibilities
  • 80% Hands On Engineering
  • 5% Strategic Planning
  • 15% Team Collaboration

The Offer
  • Competitive hourly rate
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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