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Junior Data Engineering Jobs in Indiana (NOW HIRING)

Lead Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... data engineering challenges and guide the modernization of our data landscape to ensure reliable and scalable outcomes. * Coach and mentor junior engineers, contribute to the Data Engineering ...

Data Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... junior staff in data strategy and validation techniques Travel Requirements Up to 60% Job Posting ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Experience mentoring junior developers is a plus. Compensation Details: $100,000 -$160,000 annually ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Experience mentoring junior developers is a plus. Compensation Details: $100,000 -$160,000 annually ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Data Architect

Indianapolis, IN

$61 - $78.50/hr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Mentor junior architects and engineers while providing technical leadership across engagements What ...

Data Architect

Indianapolis, IN

$61 - $78.25/hr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Mentor junior architects and engineers while providing technical leadership across engagements What ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Be Seen First

This role will be responsible for managing engineering data, product structures, CAD integrations, and PLM workflows to ensure data accuracy and integrity throughout the product lifecycle. The ideal ...

Bachelor's degree in Industrial, Mechanical, Manufacturing, or related Engineering discipline ... Working knowledge of Microsoft Excel for data tracking and documentation * Ability and willingness ...

MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ... Data Packages (TDP). * Assist in estimating the time and cost of engineering projects * Design ...

MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ... Data Packages (TDP). * Assist in estimating the time and cost of engineering projects * Design ...

MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ... Data Packages (TDP). * Assist in estimating the time and cost of engineering projects * Design ...

We are seeking a Junior Engineer to support Airborne Electronic Warfare systems and related ... data packages, and engineering change documentation. * Assist with system integration and ...

We are seeking a Junior Engineer to support Airborne Electronic Warfare systems and related ... data packages, and engineering change documentation. * Assist with system integration and ...

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Junior Data Engineering information

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Indiana? The most popular types of Data Engineering jobs in Indiana are:
What are popular job titles related to Junior Data Engineering jobs in Indiana? For Junior Data Engineering jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Indiana look for? The top searched job categories for Junior Data Engineering jobs in Indiana are:
What cities in Indiana are hiring for Junior Data Engineering jobs? Cities in Indiana with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Lead Data Engineer

Lead Data Engineer

Elanco

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

44th of 74 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Your Role:Lead Data Engineer

As a Lead Data Engineer, you will be part of the Enterprise IT - Data Engineering team, delivering products and thought leadership that transform how Elanco leverages data. In this role, you'll be responsible for orchestrating the smooth flow of data, building stable pipelines and data products, and coaching junior engineers. You will focus on speed to value, improving our organization's access to useful data, and promoting continual improvement to help execute and deliver our enterprise data strategy.

Your Responsibilities:

  • Lead data engineering squads in partnership with Product Managers to discover, design, and develop compelling data solutions, leveraging modern product and engineering approaches.
  • Establish and enforce strong technical standards, governance, and quality change management practices for data pipelines and products, including partnering with core engineering groups on application security.
  • Promote and educate colleagues and stakeholders on Enterprise Data Engineering capabilities, standards (including FAIR data principles), and patterns to ensure their value is understood and leveraged.
  • Act as a key technical escalation point for diagnosing complex data engineering challenges and guide the modernization of our data landscape to ensure reliable and scalable outcomes.
  • Coach and mentor junior engineers, contribute to the Data Engineering community, and foster a culture of learning, innovation, and collaboration across Elanco.

What You Need to Succeed (minimum qualifications):

  • Education:Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience.
  • Experience:A minimum of 6 years of experience engineering and delivering enterprise-scale data solutions.
  • Top Skills:Proven technical leadership and coaching of colleagues; Strong experience with cloud data platforms (Databricks, Azure, GCP).

What will give you a competitive edge (preferred qualifications):

  • Expertise in designing and implementing modern data architectures such as the lakehouse, scalable data pipelines, APIs, and data contracts.
  • Deep understanding of and experience with SQL/NoSQL, and FAIR data principles.
  • Familiarity with machine learning workflows, data quality frameworks, and data governance practices.
  • Experience working in complex and diverse global landscapes (business, technology, regulatory, etc.).
  • Hands-on experience with infrastructure automation technologies such as Terraform and Ansible.

Additional Information:

  • Travel:Occasional travel may be required.
  • Location:United States - Indianapolis, IN (HQ)

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching


Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


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