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Sql Python Data Engineer Jobs in Michigan (NOW HIRING)

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... SQL and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$125 - $150/hr

Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. * Utilize GCP ... Develop comprehensive documentation for data engineering processes to support knowledge sharing ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: * Data ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ... Collaborate with data engineers, architects, analysts, and data scientists to design and deliver ...

Corning

$104K - $125K/yr

... Python and building data pipelines in a production environment. - Strong hands-on experience with ... SQL skills and experience with data modeling, relational databases, data warehouses, data lakes, or ...

Deloitte

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Qualifications Required * 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets. * 7+ years of hands-on experience with SQL and Python, including ...

Deloitte

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Qualifications Required * 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets. * 7+ years of hands-on experience with SQL and Python, including ...

Deloitte

Data Engineer

Midland, MI · On-site

$98K - $118K/yr

Qualifications Required * 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets. * 7+ years of hands-on experience with SQL and Python, including ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Fluency in programming languages such as Python and SQL, and familiarity with others like Java or ... Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.

Stefanini, Inc

GCP Data Engineer

Dearborn, MI · On-site

$80 - $100/hr

Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB ... Proficiency in Terraform and programming (Python/Java). * Experience with Kubernetes (GKE) and ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) Strong Experience with Semi-Structured Data (XML ...

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Sql Python Data Engineer information

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

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

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

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

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities in Michigan are hiring for Sql Python Data Engineer jobs?

Cities in Michigan with the most Sql Python Data Engineer job openings:

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer MS Fabric ETL Cloud

Lansing, MI • On-site

RICEFW Technologies, Inc.
IT Services • 51 - 200 employees
Learn more about RICEFW Technologies, Inc.external

$116K - $139K/yr

Contractor

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

Job description

Job Title: Sr. Data Engineer - MS Fabric / ETL / Cloud
We are looking for a hands-on Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms.
The ideal candidate must be able to work independently from Day One and mentor junior team members.
Key Responsibilities
  • Design and develop ETL/ELT pipelines
  • Perform data orchestration using Azure Data Factory, SSIS, or any cloud orchestration tool
  • Develop and optimize advanced T-SQL programs (stored procedures, views, performance tuning)
  • Build and maintain dimensional models (Star / Snowflake schema) and apply normalization principles
  • Work within the Microsoft Fabric ecosystem (ADF, Databricks, Data Warehouse)
  • Ensure strong alignment with Power BI data modelling
  • Mentor and guide team members

Required Skills
  • Strong T-SQL programming & SQL optimization
  • Experience with MS Fabric
  • Hands-on ETL / ELT development
  • Data Modelling expertise
  • Mandatory experience in at least one Cloud platform (Azure / AWS / GCP)
  • Proven data orchestration experience
  • Ability to work independently

Nice to Have
Python for data processing

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