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# Data Engineer - Hybrid - Indianapolis

- **Company:** AFIT Staffing, Inc.
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Databases, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, PostgreSQL, Oracle (Applications), Cloud Services, SAP HANA, Enterprise Data Management, Cloud Platform System, Data Strategy, Data Analytics, Data Management, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.careerjet.com/job/usd11761068cc4f280976948eee0976d8a/eaa

## About the Role

We are seeking a Senior Data Engineer with strong experience in enterprise data architecture, cloud data platforms, and data governance to support a large-scale data and analytics environment. This role is ideal for a hands-on technical professional who enjoys building scalable data solutions while contributing to long-term data strategy and modernization efforts.

## Description

The successful candidate will work closely with business and technical stakeholders to design, develop, and optimize enterprise data platforms. You will play a key role in data integration, cloud migration initiatives, ETL development, and data governance programs while helping establish standards that improve data quality, accessibility, and consistency across the organization.
This position offers the opportunity to work within a growing data organization, gain exposure to complex enterprise datasets, and influence strategic decisions related to data architecture, governance, and cloud technologies.
What You'll Do
Data Architecture & Engineering
Design and build scalable enterprise data solutions.

 * Design and implement enterprise data architecture solutions.
 * Develop, maintain, and optimize data integration processes and ETL workflows.
 * Support cloud-based data initiatives and platform modernization projects.
 * Analyze data requirements for existing and future systems.
 * Ensure data quality, consistency, integrity, and accessibility across multiple data sources.
 * Contribute to enterprise data warehousing and integration strategies.

Data Strategy & Governance
Support effective data management and governance initiatives.

 * Promote enterprise data governance best practices and standards.
 * Support the development and enforcement of data policies, procedures, and controls.
 * Partner with stakeholders to improve data stewardship and utilization.
 * Identify opportunities for long-term data strategy and platform enhancements.
 * Evaluate emerging technologies and recommend solutions aligned with organizational objectives.

Team Leadership & Collaboration
Act as a trusted technical resource across the organization.

 * Collaborate with business and technical stakeholders to define requirements and deliver solutions.
 * Provide technical guidance and knowledge sharing on enterprise data initiatives.
 * Lead or support complex data projects and implementation efforts.
 * Communicate technical concepts to both technical and non-technical audiences.
 * Contribute to project planning, execution, and delivery activities.

What You Bring Skill / Qualification Required / Desired Years
Enterprise Data Architecture Required 2+
Azure and/or AWS Cloud Platforms Required
2+
Azure Databricks Required
2+
ETL Development & Data Integration Required
2+
Data Warehousing Concepts Required
2+
Data Governance Best Practices Required 2+
PostgreSQL, Oracle, SAP HANA, or Similar Databases Required
2+
DCAM and/or DMBOK Frameworks Highly Desired
2+
Technical Leadership Highly Desired
Stakeholder Communication Required 2+
Work Environment

 * Hybrid work environment.
 * Four days onsite and one day remote each week.
 * Full-time schedule.

Why This Role Matters
This role provides the opportunity to influence enterprise data strategy, support large-scale cloud and data modernization initiatives, and help shape the future of data governance and analytics capabilities. The successful candidate will gain exposure to complex enterprise data environments while contributing to projects that drive meaningful operational and strategic outcomes.