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Entry Data Engineer Jobs in Indiana (NOW HIRING)

Senior Electrical Engineer

Indianapolis, IN

$102K - $133K/yr

Design and test electronic systems for embedded underwater applications, custom data acquisition ... Schematic entry and board layout using a schematic capture tool and layout tool. * Experience with ...

Senior Electrical Engineer

Indianapolis, IN

$102K - $133K/yr

Design and test electronic systems for embedded underwater applications, custom data acquisition ... Schematic entry and board layout using a schematic capture tool and layout tool. * Experience with ...

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Entry Data Engineer information

See Indiana salary details

$10

$18

$26

How much do entry data engineer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry data engineer in Indiana is $18.53, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.82 per hour, depending on experience, location, and employer.

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

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as an Entry Data Engineer, and why are they important?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry-level data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an Entry Data Engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What are popular job titles related to Entry Data Engineer jobs in Indiana? For Entry Data Engineer jobs in Indiana, the most frequently searched job titles are:

ECOA Study Build Programmer

2T Consulting

Indianapolis, IN

Full-time

Posted 11 days ago


Job description

Role Summary

We are seeking an eCOA Study Build Programmer to design, configure, program, and test electronic Clinical Outcome Assessment (eCOA) and clinical data collection systems. The role ensures accurate study build execution, data mapping, and compliance with clinical protocol requirements while supporting end-to-end clinical trial data acquisition and reporting needs.

Key Responsibilities
  • Gather and interpret eCOA design specifications to support clinical trial implementation
  • Design, program, and test eCOA/eDC/eSource data collection systems and study databases
  • Build and validate eCRF screens, including data entry workflows and edit checks
  • Implement data repository mappings aligned with clinical data standards and study protocols
  • Ensure accurate data flow from patient data capture to analysis datasets
  • Collaborate with Clinical Build Programmers to deliver complete study builds
  • Analyze clinical protocols and translate requirements into system specifications
  • Support study-level deliverables including Data Management Plans, database setup, and study documentation
  • Execute post-production changes and assess impact on study design and data integrity
  • Support submission, inspection, and regulatory response activities
  • Contribute to cross-functional or high-complexity study/program implementations
Required Skills & Qualifications
  • Strong experience in Clinical Domain (eCOA, eDC, eSource, or Direct Data Capture)
  • Proficiency in JavaScript, JSON, HTML, SpEL expressions, and C#
  • Experience designing and building electronic CRF (eCRF) screens with validations
  • Strong understanding of clinical protocols and clinical terminology interpretation
  • Experience in clinical data systems, testing, and validation workflows
  • Knowledge of clinical data standards and data mapping concepts
  • Ability to analyze data flow from capture to analysis and reporting
Preferred Skills
  • Experience in clinical data analytics and visualization
  • Exposure to clinical data warehouse or data repository systems
  • Understanding of clinical trial regulatory and submission processes
  • Experience working in cross-functional clinical study teams