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Entry Level Startup Data Engineer Jobs in Michigan

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Entry Level Startup Data Engineer information

What does an entry level startup data engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as an entry level startup data engineer, and why are they important?

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What are some common challenges faced by entry level startup data engineers, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

What are the most commonly searched types of Startup Data Engineer jobs in Michigan?

The most popular types of Startup Data Engineer jobs in Michigan are:

What are popular job titles related to Entry Level Startup Data Engineer jobs in Michigan?

For Entry Level Startup Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Startup Data Engineer jobs in Michigan look for?

The top searched job categories for Entry Level Startup Data Engineer jobs in Michigan are:

Entry Level Startup Data Engineer jobs near you
Infographic showing various Entry Level Startup Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

ADAS Validation Engineer - Entry Level

Groupe SEGULA Technologies SA

Chelsea, MI • On-site

$65 - $75/hr

Other

Posted 4 days ago

Job description

We are seeking an Entry-Level ADAS Validation Engineer to support the validation and testing of Advanced Driver Assistance Systems (ADAS). In this role, you will assist in planning, executing, and documenting vehicle and component-level tests to ensure ADAS features meet strict functional, safety, and performance requirements.

Key Responsibilities

  • Feature Validation Support: Assist in validating key ADAS features, including Adaptive Cruise Control, Lane Keeping Assist, Automatic Emergency Braking, Blind Spot Monitoring, and Park Assist.

  • Test Execution: Execute vehicle, bench, and real-world road tests in accordance with established engineering test procedures.

  • Data & Analysis: Collect, analyze, and document test data to ensure feature compliance.

  • Issue Reporting: Identify, reproduce, and log software and system defects found during testing.

  • Setup & Instrumentation: Assist with test setup, vehicle instrumentation, and data acquisition systems.

  • Cross-Functional Collaboration: Partner with cross-functional engineering teams to investigate, troubleshoot, and resolve validation issues.

  • Documentation & Tracking: Maintain accurate test records, prepare validation reports, and support issue tracking using defect management tools.

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