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Entry Level Startup Data Engineer Jobs in Indiana

Linde

Controls Engineer

Indianapolis, IN · On-site

$75K - $97K/yr

Further, you will collaborate with digitalization and engineering teams to ensure controls, data ... startup, and operational phases

Raya Workforce

Process Engineer

Brazil, IN · On-site

Analyze chemical manufacturing processes using data-driven methods to identify bottlenecks ... Pre-Startup Safety Review (PSSR) and risk assessment methodologies. * Excellent communication ...

Merican

Automation Engineer

Lebanon, IN · On-site

Support Rockwell-based systems during equipment startup and troubleshooting. * Execute security ... Validate process and alarm data flow through MQTT broker. * Work closely with skid vendors for ...

SynergisticIT

Junior Software Engineer

Anderson, IN

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Genovice

Automation Engineer

Indianapolis, IN

$100K - $160K/hr

Lead and support capital projects involving the design, implementation, startup, commissioning ... data integrity controls. * Participate in investigations, deviations, Quality Notifications (QNs ...

DISHER

Vision Engineer

Hammond, IN · Remote

Be responsible for projects from technical specification to startup support. * Develop contingency ... If you would like more information about how your data is processed, please contact us. apply for ...

SynergisticIT

Jr software Engineer

Anderson, IN · On-site

For entry level job seekers to get client interviews and jobs, they need to differentiate ... Excellent written and verbal communication skills Required skills for Data Science/Machine Learning:

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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 Indiana? The most popular types of Startup Data Engineer jobs in Indiana are:
What are popular job titles related to Entry Level Startup Data Engineer jobs in Indiana? For Entry Level Startup Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Startup Data Engineer jobs in Indiana look for? The top searched job categories for Entry Level Startup Data Engineer jobs in Indiana are:
Entry Level Startup Data Engineer jobs near you
** Manufacturing Engineer

** Manufacturing Engineer

Dwyer Instruments, Inc.

La Porte, IN • On-site

$67K - $87K/yr

Full-time

Posted 21 days ago

Job description

Job Type
Full-time
Description
Manufacturing Engineer - Entry Level
Location: Kingsbury, Indiana
Department: Operations / Manufacturing Engineering
Reports To: Engineering Manager / Operations Leadership
About DwyerOmega
DwyerOmega is a globally trusted leader in manufacturing innovative instrumentation solutions for the Process Measurement, Automation, Control, and HVAC markets. With strong brand recognition and customer loyalty, DwyerOmega provides customized solutions that meet and exceed customer needs.
The company offers more than 300,000 products for process measurement and control including temperature, humidity, pressure, force, flow, level, pH, conductivity, and indoor air quality solutions. DwyerOmega products help create safe, sustainable, and efficient environments worldwide.
At DwyerOmega, we enable our customers to improve the world - one measurement at a time - through technology, customer service, and continuous improvement.
Corporate headquarters are located in Michigan City, Indiana and Norwalk, Connecticut, with manufacturing locations and sales offices around the globe.
Position Summary
DwyerOmega is seeking a motivated and hands-on Manufacturing Engineer to support manufacturing, automation, continuous improvement, and capital equipment initiatives at the Kingsbury, Indiana facility.
This entry-level role will work closely with Operations, Engineering, Quality, and Continuous Improvement teams to support the development, implementation, and optimization of manufacturing processes and automation systems. The ideal candidate will have a strong technical foundation in manufacturing engineering and an interest in electromechanical assembly, automation technologies, and process improvement.
This position offers an excellent opportunity for recent graduates or early-career professionals to develop engineering, project management, and manufacturing operations experience in a fast-paced environment.
Essential Duties & Responsibilities
  • Identify and support automation opportunities to improve safety, quality, productivity, delivery, and labor efficiency.
  • Assist in developing scalable manufacturing processes and assembly methods for electromechanical products and configured solutions.
  • Partner with Operations and Lean/Continuous Improvement teams to improve manufacturing flow, reduce waste, and optimize throughput.
  • Support troubleshooting and resolution of manufacturing process, automation, and controls-related issues.
  • Maintain item routings, work instructions, and process flow documentation.
  • Support New Product Introductions (NPI) and Engineering Change Notices/Requests (ECN/ECR).
  • Review drawings, blueprints, sketches, manuals, and sample parts to determine manufacturing methods.
  • Create and update drawings using SolidWorks or similar CAD software.
  • Assist with BOM and routing creation and maintenance within ERP systems.
  • Participate in benchmarking and implementation of new manufacturing technologies and automation strategies.
  • Support capital equipment projects including supplier coordination, installation, and startup activities.
  • Assist with manufacturing documentation including process flows, work instructions, standard work, and PFMEA inputs.
  • Participate in manufacturing layout optimization and capacity planning initiatives.
  • Support root cause investigations and corrective actions related to manufacturing or quality issues.
  • Collaborate cross-functionally with Operations, Engineering, Quality, Supply Chain, and Continuous Improvement teams.

Requirements
Qualifications
Required Qualifications
  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or related technical discipline.
  • 0-2 years of manufacturing engineering or related experience.
  • Strong mechanical aptitude and hands-on problem-solving skills.
  • Familiarity with electromechanical assembly processes.
  • Basic knowledge of automation systems, industrial controls, pneumatics, sensors, or robotics.
  • Proficiency with Microsoft Office Suite.
  • Experience with CAD software such as SolidWorks or equivalent.
  • Strong organizational, communication, and teamwork skills.
Preferred Qualifications
  • Internship or co-op experience in manufacturing or industrial environments.
  • Exposure to Lean Manufacturing principles including 5S, Kaizen, and root cause analysis.
  • Familiarity with ERP systems and manufacturing documentation.
  • Experience with scripting or programming languages such as Python or C/C++.
  • Knowledge of machine safety and vision systems.
Why Join DwyerOmega?
  • Hands-on engineering experience in a global manufacturing organization
  • Opportunity to work on automation and continuous improvement initiatives
  • Collaborative and innovative team environment
  • Career growth and development opportunities
  • Competitive compensation and benefits package
Equal Opportunity Employer
DwyerOmega is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, marital status, pregnancy, sexual orientation, ancestry, genetic information, or any other characteristic protected by applicable law.
We believe in transparent and equitable pay. All U.S. job postings include a good-faith salary range based on role, location, experience, and internal equity. We're happy to discuss compensation openly throughout the hiring process.

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