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Manager Data Engineering Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) * Implement ... data engineering or related roles * Strong SQL skills and experience working with relational ...

Data Engineer

South Bend, IN · On-site

$112K - $134K/yr

Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) * Implement ... data engineering or related roles * Strong SQL skills and experience working with relational ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery. * Build and ...

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Data Engineering & Pipeline Development * Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery. * Build and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... in data architecture development and data modeling - Implementing data pipeline and data ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Our clients want us to apply the same engineering rigor we bring to software development to their ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

In this role, you will design and manage the data infrastructure - pipelines, databases, and ... Proven experience in data engineering, analytics engineering, or similar role * Strong SQL ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Our clients want us to apply the same engineering rigor we bring to software development to their ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Our clients want us to apply the same engineering rigor we bring to software development to their ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

In this role, you will design and manage the data infrastructure - pipelines, databases, and ... Proven experience in data engineering, analytics engineering, or similar role * Strong SQL ...

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

In this role, you will design and manage the data infrastructure -- pipelines, databases, and ... Proven experience in data engineering, analytics engineering, or similar role * Strong SQL ...

Technical Project Manager | About You As a Technical Project Manager, you are responsible for ... Collaborate with data engineering teams to clarify technical requirements and troubleshoot issues ...

Technical Project Manager | About You As a Technical Project Manager, you are responsible for ... Collaborate with data engineering teams to clarify technical requirements and troubleshoot issues ...

Technical Project Manager | About You As a Technical Project Manager, you are responsible for ... Collaborate with data engineering teams to clarify technical requirements and troubleshoot issues ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ... and release management. Migration & Modernization • Lead or contribute to legacy-to-cloud ...

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Showing results 1-20

Manager Data Engineering information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do manager data engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager data engineering in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 job categories do people searching Manager Data Engineering jobs in Indiana look for? The top searched job categories for Manager Data Engineering jobs in Indiana are:
Infographic showing various Manager Data Engineering job openings in Indiana as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.
Data Engineer

Data Engineer

Steel Warehouse

South Bend, IN • On-site

$112K - $134K/yr

Full-time

Posted 24 days ago


Job description

Description:

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources
  • Build and optimize data models to support analytics and reporting use cases
  • Ensure data quality, integrity, and reliability through monitoring, validation, and testing
  • Implement and support data governance practices, including data lineage, cataloging, and metadata management
  • Enforce data standards, naming conventions, and access controls across datasets
  • Partner with business stakeholders to define data ownership, definitions, and quality expectations
  • Manage and optimize data storage solutions (data warehouses, lakes, lakehouses)
  • Implement performance tuning and cost optimization strategies
  • Maintain documentation for data architecture, pipelines, and governance processes
  • Support deployment and orchestration of data workflows using modern tools
  • Troubleshoot and resolve data issues in a timely manner
Requirements:

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 2–5+ years of experience in data engineering or related roles
  • Strong SQL skills and experience working with relational databases
  • Experience building data pipelines using tools such as Python, Spark, or similar
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric)
  • Understanding of data modeling concepts (star schema, normalization, etc.)
  • Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Preferred Qualifications

  • Experience with orchestration tools (Airflow, Azure Data Factory, etc.)
  • Knowledge of real-time/streaming data processing
  • Familiarity with DevOps practices (CI/CD, version control)
  • Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric)
  • Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation)
  • Strong understanding of data security and compliance best practices
  • Strong problem-solving and communication skills