1

Associate Data Engineer Jobs in Indiana (NOW HIRING)

Sr Data Visualization Engineer

Terre Haute, IN · On-site

$108.90K - $130.80K/yr

Partner with Talend developers, IT Project managers and functional teams to gather requirements ... Associates degree with minimum of 5 years of professional experience OR High School Diploma with ...

Elevate CPE Engineer

Seymour, IN · On-site

$25 - $35/hr

... seeking an Associate Engineer to support Central Engineering by executing engine test cell operations, analyzing performance and emissions data, and assisting with calibration and validation ...

Health Data Intell Architect

Granger, IN · On-site

$57.25 - $73.50/hr

Utilize data engineering methodologies to pull complex data to support loading data into HDI ... ORGANIZATIONAL RESPONSIBILITIES Associate complies with the following organizational requirements:

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Associate Industrial Engineer

Mooresville, IN

$69.10K - $93.20K/yr

Craft regular presentations to senior management communicating key take-aways from multiple initiatives and offering data to support decisions to be made The Associate Industrial Engineer develops ...

next page

Showing results 1-20

Associate Data Engineer information

See Indiana salary details

$9

$17

$29

How much do associate data engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for associate data engineer in Indiana is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $18.99 per hour, depending on experience, location, and employer.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Indiana? The most popular types of Data Engineer jobs in Indiana are:
What are popular job titles related to Associate Data Engineer jobs in Indiana? For Associate Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Indiana look for? The top searched job categories for Associate Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Associate Data Engineer jobs? Cities in Indiana with the most Associate Data Engineer job openings:
Clinical Data Associate

Clinical Data Associate

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

11th of 70 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
The Clinical Data Associate is accountable for the end-to-end clinical data sciences delivery for a clinical study, including clinical database build, data acquisition, storage, retrieval, and exchange. This role requires in-depth understanding of the clinical study design, data standards, study protocol, data flow, systems, and processes for collecting and managing clinical study data. The Clinical Data Associate is required to represent the clinical data sciences function and collaborate with and manage key study collaborators in achieving study milestones. The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs.
Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.
1. Clinical Data Science Delivery
  • Implement project monitoring and quality oversight of sourcing providers for end-to-end data management activities from study set-up to trial execution through database lock delivery.
  • Ensure vendor performance for the program-level flow of data, including across niche vendors and niche data sources (pharmacokinetics, immunogenicity, biomarkers).
  • Partner with the Clinical Data Strategist in ensuring data flow design and data collection meet the requirements of the study protocol.
  • Develop the Data Management Plan (DMP) and maintain the DMP throughout the lifecycle of the clinical study while ensuring that the DMP is followed in accordance with the study design and study protocol requirements.
  • Drive data cleaning activities throughout study execution. Use therapeutic knowledge and possess a deep understanding of the technologies used to review data to ensure database deliverables are consistent and accurate.
  • Help identify and drive implementation of post-production changes to the Clinical Database.
  • Develop and maintain plans for key study deliverables (i.e., Data Quality Delivery Plan, Datalock Plan, Project Plan).
  • Provide consultation and a high level of expertise in data management processes, principles, and deliverables to support clinical studies.
  • Represent clinical data sciences in inspections and support inspection readiness efforts within the clinical data sciences function and multi-functionally.
  • Effectively apply knowledge of applicable internal, external, and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to data deliverables.
  • Manage and drive requests for copyrights and translations for study-related documents.
  • Drive build implementation for eCOA, ensure execution of eCOA deliverables (on time with high quality), and serve as eCOA point of contact (POC).

2. Project Management
  • Ensure that the clinical data science deliverables meet scope, cost, and time objectives.
  • Manage study timelines for clinical data deliverables (FPV to database lock)
  • Drive the planning, readiness, coordination and communication of activities leading to database lock
  • Coordinate/lead data management milestones for data transfers and database locks.
  • Manage scope of the deliverables through scenario planning and negotiating desired outcomes with study teams while taking into account the cost and value of scenarios.
  • Practice effective risk management to mitigate or manage risks to study deliverables.

3. Communication
  • Act as primary communication point for all data management activities related to a clinical study.
  • Report out status of data management milestones and data quality.
  • Partner with external data vendors: understand specifications to import multiple types of data, work with technical groups to ensure timely loads of external data sets into the sponsor's database.
  • Demonstrate excellent written and verbal communication skills, including the ability to represent the Data and Analytics organization and influence team members to drive data-driven decisions.
  • Partner with across functional team members to ensure trial success through robust oversight/review.

4. Process Improvement
  • Continually seek and implement opportunities for process improvements, automation to drive efficiencies, reduction of cycle times, and improvements in quality.
  • Represent clinical data sciences' processes in cross-functional initiatives.
  • Actively engage in shared learning across the Data and Analytics organization.
  • Work with partners to increase vendor/partner efficiencies.
  • Recommend new or improved processes relating to clinical data management.

Minimum Qualification Requirements:
  • Master's degree in a scientific or technical field such as Informatics/Analytics, Life Sciences, Statistics, Information Technology, Epidemiology, Computer Sciences (or Bachelor's degree plus 3 or more years of experience in clinical data management or areas that closely intersect with clinical data management, such as statistics, data analytics, information technology, health outcomes, etc...)
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position

Other Information/Additional Preferences:
  • Demonstrated ability to effectively partner/influence a virtual team and drive a technical project to deliver positive results
  • Demonstrated ability to lead development of creative solutions to address data-related clinical development challenges
  • Passionate about improving technological solutions using new technologies
  • Society of Clinical Data Management certification
  • Working knowledge of programming languages & industry tools such as Tableau, PowerBI, Python, SAS, R and Shiny for reporting, metrics, and visualizations, along with P-SQL, T-SQL for DBMS.
  • Experience with the following:
  • Articulating the flow of data (structure and format) from study start-up to analysis and applying this knowledge to data solutions
  • Utilization of clinical/drug development knowledge and an ability to liaise effectively with study team members (i.e., Statistics, PK, Operations, Medical)
  • Strong therapeutic/scientific knowledge in the field of research
  • Knowledge of medical terminology
  • Domestic and international travel may be required
  • Ability to balance multiple activities, prioritize and manage ambiguity
  • Demonstrated exemplary teamwork/interpersonal skills
  • Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$65,250 - $148,500
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly

What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876