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Entry Level Startup Data Engineer Jobs in Michigan

OtterBase

Controls Engineer

Ada, MI

$81K - $106K/yr

... during startup and operations Utilize MATLAB for data analysis and system modeling Work with ... engineering and software development Bachelor's degree in engineering or related field preferred ...

Axis Automation

Controls Engineer Levels 2/3

Walker, MI · On-site

$79K - $102K/yr

Travel to customer sites for installation, startup, and support of equipment represents 10-20% of ... HMI: Builds basic screens, alarms, diagnostics, and data displays; follows UX/tag standards and ...

Axis Automation

Controls Engineer Levels 2/3

Walker, MI · On-site

$79K - $102K/yr

Travel to customer sites for installation, startup, and support of equipment represents 10-20% of ... HMI: Builds basic screens, alarms, diagnostics, and data displays; follows UX/tag standards and ...

Axis Automation

Controls Engineer Levels 2/3

Grand Rapids, MI · On-site

$80K - $103K/yr

Travel to customer sites for installation, startup, and support of equipment represents 10-20% of ... HMI: Builds basic screens, alarms, diagnostics, and data displays; follows UX/tag standards and ...

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Entry Level Startup Data Engineer information

What are some common challenges faced by entry level data engineers at startups, 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 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 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

Associate Product Manager @ Social app startup

Cheez

Ann Arbor, MI • On-site

Full-time

Re-posted 24 days ago

Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture

Apply