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Data Engineer Data Analyst Jobs in Dearborn, MI (NOW HIRING)

Minimum Qualifications * 2+ years of experience in data analytics, data engineering, software development, or a related technical field. * Experience with Python, SQL, and JavaScript/TypeScript.

New

Data Engineer

Detroit, MI

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases * Engineer solutions using technologies such as PySpark ...

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases Engineer solutions using technologies such as PySpark ...

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Dearborn, MI

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ... Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role will work closely with data scientists, analysts, and business stakeholders to develop ... Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... modern analytics, automation and AI-enabled solutions. This role will lead cross-functional ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. * Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience ...

Showing results 21-40

Data Engineer Data Analyst information

See Dearborn, MI salary details

$31.2K

$75.9K

$124.9K

How much do data engineer data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer data analyst in Dearborn, MI is $75,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,100.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Dearborn, MI?

For Data Engineer Data Analyst jobs in Dearborn, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Dearborn, MI look for?

The top searched job categories for Data Engineer Data Analyst jobs in Dearborn, MI are:

What cities near Dearborn, MI are hiring for Data Engineer Data Analyst jobs?

Cities near Dearborn, MI with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Dearborn, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $75,922 per year, or $36.5 per hour.

Full-time

Posted 3 days ago

New


Job description

Overview
Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently . We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is located in Troy, MI.
Position-Specific Overview
Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information.
The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required.
Responsibilities and Qualifications
  • Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
  • Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
  • Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
  • Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
  • Support data modeling, database design, testing, documentation, and deployment of new capabilities.
  • Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
  • Use modern software development practices including Git, testing, version control, and collaborative development.

Minimum Qualifications
  • 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
  • Experience with Python, SQL, and JavaScript/TypeScript.
  • Experience developing ETL/ELT pipelines and working with relational databases and structured data.
  • Experience with low-code application development, cloud technologies, or UX/UI design.
  • Ability to work directly with users to understand requirements and develop data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with Palantir Foundry or comparable data and analytics platforms.
  • Experience with PySpark, Spark, or other large-scale data processing technologies.
  • Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
  • Prior experience supporting U.S. Government clients or working in regulated environments.

Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.