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Associate Data Engineer Jobs in Indiana (NOW HIRING)

Analyze data required to understand a problem and develop solutions. This includes, but is not ... Associates may be asked to perform additional tasks depending on strengths and capabilities.

The Engineering Design Assistant will provide work management system, Design Tool data entry and ... Associates degree * In lieu of an Associates degree: a Highschool diploma or GED and 2 years of ...

Analyze data required to understand a problem and develop solutions. This includes, but is not ... Associates may be asked to perform additional tasks depending on strengths and capabilities.

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... As an Associate Electrical Engineer on our innovative team, you'll be deeply involved in the full ...

Manufacturing Quality Engineer (MQE)

New Albany, IN · On-site

$66.60K - $86.10K/yr

Analyze data required to understand a problem and develop solutions. This includes, but is not ... Associates may be asked to perform additional tasks depending on strengths and capabilities.

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Associate Data Engineer information

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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:
Associate Director - BI&A HCP Product Analytics

Associate Director - BI&A HCP Product Analytics

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Posted 20 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

Job Summary:
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. The Associate Director–BI&A HCP Product Analytics is responsible for helping the HCP BI&A team make data-driven decisions by leading product strategy and collaborating across teams to deliver analytical products that improve patient and business outcomes.
Responsibilities:
• Identify, prioritize, deploy, and implement analytical products that provide data-driven insights, help answer critical questions, and meet business partner decision needs
• Lead product strategy and collaborate with counterparts across BUs and analytic teams to ensure consistent analytics’ product choices, data definitions, and business rules to enable opportunities to scale across the enterprise
• Champion AI-ready data development by partnering with data engineering to ensure datasets are structured, governed, and optimized for machine learning and AI applications
• Understand BI&A internal needs for efficiency, Brand/Business Unit strategies, market dynamics, and data sources to ensure analytic product recommendations and key workstreams align to the broader organizational strategy
• Lead end-to-end product development lifecycle for analytics products – from requirements gathering and design through deployment, adoption, and iteration
• Drive system migration initiatives, including transitioning legacy analytics platforms to modern cloud-based environments, ensuring continuity and data integrity throughout
• Collaborate with a wide variety of teammates and business partners as a part of a highly matrixed organization
• Contribute to an inclusive community within and outside of BI&A
• Facilitate the cooperation, discussion, and execution between BI&A data engineering team, BI&A Product Teams, and Tech@Lilly for the building and deploying of consistent datasets for analysis
• Ensure business decisions are made with solid supporting evidence grounded in analytics products that include actionable business insights and recommendations through effective communication
• Facilitate the documentation and deployment of code and methodology to increase reusability and efficiency across BI&A
• Manage and partner with external vendors when necessary
• Ensure compliance with all privacy and contractual obligations related to the use of data
• Orchestrate and coordinate analytics product deployment and implementation within team to efficiently triage analytics requirements and help prioritize analytics backlog in partnership with stakeholders
• Provide analytics product coaching and training for teams on business impact, biases, and trade-offs with both approach and implementation
• Champion the use of our products across the organization
• Support a prospectively designed and planned testing culture that rapidly tests, measures, and iterates on marketing content and activity
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Business Analytics, Finance, Engineering, Mathematics, Economics or related degree
• Minimum 4 years’ experience in an analytics function
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1
Preferred:
• Experience with Databricks or similar cloud data platforms (e.g., Azure, Snowflake) for large-scale data processing and analytics workflows
• Strong analytical skills coupled with business acumen and an ability to think strategically in an ambiguous environment
• Proficiency in Databricks, including working with Delta Lake, notebooks, and MLflow for analytics and model development
• Experience with Agentic AI and/or Gen AI
• Demonstrated experience leading or contributing to system migration projects, particularly transitioning analytics or data infrastructure to modern platforms
• Broad awareness and solid understanding of descriptive through prescriptive analytics
• Experience in analytics product development, including ownership of the full product lifecycle from concept through delivery and adoption
• Demonstrated ability to communicate analytics concepts and influence change with a variety of business stakeholders
• Excellent communication (written & verbal), interpersonal influencing skills, and prioritization skills with attention to detail
• Sophisticated competence in a coding language (R, SAS, SQL, Python, etc.)
• Consistent history of delivering complex cross-functional projects
• Demonstrated ability to effectively influence individuals from executive to associate levels
Company:
We're a medicine company turning science into healing to make life better for people around the world. Founded in 1876, the company is headquartered in Indianapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Eli Lilly and Company employees say

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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