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Data Engineer Contract Jobs in Fishers, IN (NOW HIRING)

As Principal Data Engineer , you'll architect Gather AI's data foundation from the ground up ... data contracts, schema validation, and pipeline quality, so WMS data lands in the right place ...

CE Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Enable Skill and agent development - architect the data contracts, reference patterns, and guardrails that let Applied-AI / Agent Engineers build CE Skills and agents against governed data, so PHI ...

CE Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Enable Skill and agent development - architect the data contracts, reference patterns, and guardrails that let Applied-AI / Agent Engineers build CE Skills and agents against governed data, so PHI ...

Data Analyst

Indianapolis, IN · On-site

$75 - $110/hr

Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted ... You will work closely with data engineering teams to access and shape data from modern cloud ...

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Data Engineer Contract information

See Fishers, IN salary details

$41.7K

$121.4K

$166.1K

How much do data engineer contract jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer contract in Fishers, IN is $121,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Fishers, IN?

The most popular types of Data Engineer jobs in Fishers, IN are:

What job categories do people searching Data Engineer Contract jobs in Fishers, IN look for?

The top searched job categories for Data Engineer Contract jobs in Fishers, IN are:

What cities near Fishers, IN are hiring for Data Engineer Contract jobs?

Cities near Fishers, IN with the most Data Engineer Contract job openings:

Infographic showing various Data Engineer Contract job openings in Fishers, IN as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $121,415 per year, or $58.4 per hour.

Senior CE Data Engineer

Eli Lilly and Company

Indianapolis, IN • On-site

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Eli Lilly and Company rating

8.9

Company rating: 8.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

9th of 86 rated pharmaceutical


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.


Organization Overview

Lilly CIA powers the enterprise with governed, AI-ready data products, a converged semantic layer, and the identity and policy infrastructure behind Lilly's digital experiences. Within CIA, the LillyDirect Covered Entity (CE) Pharmacy pod builds and operates the data platform that sits inside the pharmacy's covered-entity trust boundary - handling identified PHI under HIPAA with strict isolation from parent-side systems. This role implements that platform on Databricks.

Position Summary

The CE Data Engineer builds and operationalizes the CE Pharmacy data platform on Databricks - implementing the medallion pipelines, data contracts, identity crosswalk logic, and isolation controls that the CE Data Architect designs. This is a hands-on engineering role: writing production pipelines, evaluating and applying Databricks capabilities and integration patterns, and holding the line on data quality, testing, and monitoring so the platform is reliable, auditable, and built to scale. Works in close, day-to-day partnership with the CE Data Architect and the Associate Director of CE Data Engineering - turning architectural intent into running code - and with Analytics Engineers and the DataHub Product Owner to ship governed data products.

Key Responsibilities
  • Design and build scalable, efficient Databricks pipelines implementing the CE Architect's canonical data models across the medallion (bronze silver gold), scoped entirely within the CE trust boundary.

  • Evaluate and apply Databricks capabilities and integration patterns - Unity Catalog, Delta Lake, Databricks Workflows, serverless compute, Lakebase, ingestion connectors - selecting the right tool for each pipeline given performance, cost, and scalability constraints.

  • Implement the identity crosswalk and PHI classification logic defined by the CE Architect (Reltio MDM, Auth0/Passport, Datavant tokens, Scriptly, Genesys, Prescryptive, Transcend), safeguarding merge/split integrity in code.

  • Build to ODCS data contracts - implement schema, quality, freshness/SLA, and lineage requirements as enforced pipeline logic, not documentation.

  • Implement row/column-level security, masking, and tokenization boundaries so PHI isolation is enforced at the platform layer, in partnership with the Policy-as-Code Engineer's OPA/Rego policies.

  • Own end-to-end pipeline development lifecycle - requirements to prototyping to production deployment and maintenance - for CE data products, in partnership with Analytics Engineers and the DataHub Product Owner.

  • Build and maintain CI/CD pipelines (Github Actions [CI], Git-based promotion dev test prod) for CE data, contract, policy, and agent artifacts.

  • Automate data ingestion and product creation to reduce manual pipeline maintenance and onboarding time for new CE data sources.

  • Partner with the CE Data Architect on reference architecture and patterns, providing implementation feedback that keeps designs buildable and performant at scale.

  • Build the data pipelines that lets CE Skills and agents consume governed data - ensuring PHI classification and consent travel with the data into agentic consumption paths.

Basic Requirements
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or similar degree.

  • Experience in data engineering, with a focus on building production data pipelines and data products.

  • Advanced SQL and Python; hands-on Databricks / Unity Catalog fluency (notebooks, Delta Lake, catalog/schema/grants, Workflows).

  • 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.

Additional Skills / Preferences
  • Experience defining and executing data ingestion pipelines at enterprise scale.

  • Working knowledge of data governance, classification, and access control (RBAC/ABAC, row- and column-level security).

  • Proficiency with Git-based CI/CD workflows (Git Actions or equivalent) for versioned data and pipeline artifacts.

  • Excellent problem-solving skills; ability to translate architectural designs into working, tested pipelines.

  • Good communication and collaboration skills - able to work effectively with architects, product owners, and multi-functional partners.

  • Experience in regulated or healthcare data environments; familiarity with HIPAA, PHI handling, and covered-entity constructs.

  • Data contract frameworks (ODCS or comparable) and policy-as-code (OPA/Rego) awareness.

  • Tokenization / de-identification pattern implementation (Datavant or comparable).

  • PySpark and transformation-as-code (DLT); test frameworks (pytest, DQX / Great Expectations).

  • Infrastructure-as-code (Terraform) for provisioning Unity Catalog objects and grants.

  • MDM / identity resolution implementation experience (Reltio or comparable).

  • Experience with Agile/Scrum methodologies and Jira.

  • Experience building or integrating AI Skills and agents against governed data platforms.

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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).


Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$63,000 - $149,600

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


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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