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Remote Sql Developer Data Analyst Jobs in Michigan

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Collaborate with Ford's Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... SQL and Data Querying to extract and analyze data. 2 years of experience with each of the following ... Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

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Remote Sql Developer Data Analyst information

How do Remote SQL Developer Data Analysts typically collaborate with team members despite working offsite?

Remote SQL Developer Data Analysts often collaborate with colleagues through virtual meetings, shared documentation platforms, and project management tools. Regular communication with data engineers, business analysts, and stakeholders is essential for aligning on project goals and ensuring data accuracy. Many teams use tools like Slack, Microsoft Teams, or Jira to facilitate real-time updates, code reviews, and feedback loops. Establishing clear communication protocols and maintaining transparency about progress and blockers are key to successful remote collaboration in this role.

What are Remote SQL Developer Data Analysts?

Remote SQL Developer Data Analysts are professionals who work primarily with SQL databases to collect, process, and analyze data, all while working from a remote location. Their responsibilities include designing queries, creating reports, optimizing database performance, and translating data into actionable insights for businesses. They collaborate with teams virtually to support decision-making and often utilize tools like SQL Server, MySQL, or PostgreSQL. This role combines technical database skills with analytical thinking and effective communication to solve business problems from anywhere.

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

To thrive as a Remote SQL Developer Data Analyst, you need a strong grasp of SQL programming, data modeling, and analytical problem-solving skills, usually supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms (like MySQL, SQL Server, or PostgreSQL), data visualization tools (such as Tableau or Power BI), and relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) is highly valuable. Excellent communication, self-motivation, and attention to detail are key soft skills for remote collaboration and translating data into actionable insights. These skills and qualities are crucial for efficiently extracting, analyzing, and presenting data to support informed business decisions in a distributed work environment.

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

AspectRemote Sql Developer Data AnalystData Engineer
Required CredentialsBachelor's in CS, Data Analysis certifications, SQL proficiencyBachelor's or higher in CS or related field, SQL, Python, cloud certifications
Work EnvironmentRemote or on-site, business or tech companiesRemote or on-site, tech companies, data-centric organizations
Employer & Industry UsageBusiness intelligence, finance, healthcareTech firms, data platforms, large enterprises
Common Search & ComparisonYesYes

The Remote Sql Developer Data Analyst primarily focuses on analyzing data, creating reports, and managing SQL databases to support business decisions. Data Engineers build and maintain data pipelines, infrastructure, and architecture to enable data collection and processing at scale. While both roles require SQL skills and often overlap in data handling, Data Engineers typically work on the technical infrastructure, whereas Data Analysts interpret data for insights.

What are popular job titles related to Remote Sql Developer Data Analyst jobs in Michigan? For Remote Sql Developer Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Sql Developer Data Analyst jobs in Michigan look for? The top searched job categories for Remote Sql Developer Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Sql Developer Data Analyst jobs? Cities in Michigan with the most Remote Sql Developer Data Analyst job openings:
Remote Sql Developer Data Analyst jobs near you

AWS AI/Data Engineer (Hybrid - Alternative weeks)

Reliable Software Resources

Detroit, MI • On-site, Remote

$104K - $125K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position#1
Job Title: Senior AWS AI / Data Engineer
Location: Detroit, MI 
Hire Type: Long-term contract
 
Experience: 7+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel | 
 
Agentic AI
LLMs
Python
AWS Native
Data Pipelines
Structured + Unstructured Data
 
ABOUT THE ROLE
As a Senior AWS AI/Data Engineer at DataFactZ you will architect and deliver enterprise-grade AI and data pipeline solutions for large-scale client engagements. You will lead the design of agentic AI systems, LLM-powered applications, and high-throughput data pipelines on AWS — translating complex business problems into production-ready solutions while mentoring junior engineers.
 
KEY RESPONSIBILITIES
•      Design and build end-to-end data pipelines for ingesting, transforming, and serving structured (SQL, Redshift, Parquet) and unstructured (PDFs, emails, documents, images) data on AWS
•      Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning via Amazon Bedrock, OpenAI, or Anthropic Claude
•      Build multi-agent orchestration workflows using LangChain, LlamaIndex, CrewAI, or AutoGen for enterprise automation
•      Design RAG pipelines connecting structured and unstructured data sources to LLMs via vector databases (Pinecone, OpenSearch, pgvector)
•      Lead AWS data architecture across S3, Glue, Lambda, EMR, Athena, Step Functions, and Redshift
•      Develop prompt engineering strategies and fine-tuning approaches for domain-specific LLM customization
•      Mentor junior engineers, lead code reviews, and drive engineering best practices
•      Engage client stakeholders to scope AI/data use cases, define success metrics, and deliver on commitments
 
REQUIRED SKILLS
•      Python: Advanced proficiency for data engineering, pipeline orchestration, and AI integrations
•      AWS services: Deep hands-on experience with S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, and Bedrock
•      LLMs & Agentic AI: Production experience building LLM-powered agents, tool-calling workflows, and multi-agent systems
•      Data pipelines: Batch and real-time ETL/ELT for large-scale structured and unstructured datasets
•      RAG & vector search: Building retrieval-augmented generation systems with embedding pipelines and semantic search
•      System design: Architecting scalable, secure, cost-efficient cloud-native data and AI systems
•      Leadership: Proven ability to lead technical workstreams and communicate designs to senior stakeholders
 
PREFERRED
•      AWS certifications: Solutions Architect, Data Analytics, or Machine Learning Specialty
•      Document intelligence: AWS Textract or custom document parsing pipelines
•      Multi-modal AI: Experience with vision or document-aware models
 
 

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