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Senior Data Warehouse Developer Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... senior data engineers. * Assists in conducting gap analysis on source system databases compared to the enterprise data warehouse to support Business Intelligence initiatives. * Participates in ...

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

... senior data engineers. * Assists in conducting gap analysis on source system databases compared to the enterprise data warehouse to support Business Intelligence initiatives. * Participates in ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... senior data engineers. * Assists in conducting gap analysis on source system databases compared to the enterprise data warehouse to support Business Intelligence initiatives. * Participates in ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses. Collaboration: Works closely with senior data engineers and other teams to understand ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses. Collaboration: Works closely with senior data engineers and other teams to understand ...

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses. Collaboration: Works closely with senior data engineers and other teams to understand ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on ... Develop data lake and warehouse architectures that support business objectives. * Integrate ...

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Design, develop, and test databases, data warehouses, data lakes, queries and views, reports, and ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... Translate client loyalty program requirements into production-ready data warehouse structures ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... ELT, Data Warehouse, BI Tools, and everything in between Maintain documentation for data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... ELT, Data Warehouse, BI Tools, and everything in between Maintain documentation for data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Azure DevOps, REST API, and source-system integration issues. * Provide technical support to ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Developer to join a growing team focused on building scalable, efficient data solutions. This role ... Familiarity with data warehousing and lakehouse architectures * Experience building modular or ...

Participate with a team of business stakeholders, junior Tableau developer(s), BA and PO in ... Develop data mappings, data flows and data cleansing procedures. * Provide education and guidance ...

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Showing results 1-20

Senior Data Warehouse Developer information

See Indiana salary details

$72.3K

$114.1K

$140.4K

How much do senior data warehouse developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data warehouse developer in Indiana is $114,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $123,200.00 per year, depending on experience, location, and employer.

What is a senior data warehouse developer?

Senior Data Warehouse Developers are experienced IT professionals who design, build, and maintain large-scale data storage solutions known as data warehouses. Their work involves extracting, transforming, and loading (ETL) data from various sources to ensure it is structured and accessible for business intelligence and analytics. They collaborate with data analysts, engineers, and business stakeholders to optimize data architecture and ensure high performance, security, and reliability of data systems. Typically, they also mentor junior developers and play a key role in setting data management standards and best practices.

How does a senior data warehouse developer typically collaborate with data analysts and business stakeholders?

Senior Data Warehouse Developers frequently work closely with data analysts and business stakeholders to understand specific reporting requirements and translate them into efficient data models. They participate in meetings to gather requirements, clarify data needs, and explain technical constraints or possibilities. Additionally, they support analysts by ensuring data accuracy, optimizing query performance, and troubleshooting data issues. This collaborative approach helps align the data warehouse solutions with business goals and ensures stakeholders receive actionable insights.

What are the key skills and qualifications needed to thrive as a senior data warehouse developer, and why are they important?

To thrive as a Senior Data Warehouse Developer, you need advanced SQL expertise, strong data modeling skills, and experience with ETL processes, typically supported by a degree in computer science or a related field. Proficiency with data warehouse platforms (such as Snowflake, Amazon Redshift, or Microsoft SQL Server), ETL tools (like Informatica or Talend), and relevant certifications are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for designing scalable data solutions, optimizing performance, and supporting business intelligence initiatives.

What is the difference between Senior Data Warehouse Developer vs Data Warehouse Architect?

AspectSenior Data Warehouse DeveloperData Warehouse Architect
CredentialsTypically requires SQL, ETL, and data modeling certifications; often a bachelor's degree in CS or related fieldSimilar certifications; often a master's degree or advanced certifications in data architecture or cloud platforms
Work EnvironmentFocuses on developing, testing, and maintaining data warehouse solutionsDesigns overall data architecture, oversees implementation, and ensures scalability
Employer & Industry UsageUsed across industries for data integration and reportingUsed in organizations needing complex data systems and strategic data planning

The main difference is that a Senior Data Warehouse Developer primarily builds and maintains data warehouses, while a Data Warehouse Architect designs the overall data architecture and strategy. Both roles require similar technical skills, but the architect has a broader, strategic focus.

What cities in Indiana are hiring for Senior Data Warehouse Developer jobs?

Cities in Indiana with the most Senior Data Warehouse Developer job openings:

Infographic showing various Senior Data Warehouse Developer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,064 per year, or $54.8 per hour.

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

185th of 309 rated insurance


Job description

The Data Engineer supports the execution of Allied's Data Strategy by focusing on data acquisition, curation, and transformation. This role involves working with cross-functional teams to implement efficient data models and contribute to the development of modern data architecture aligned with business and data initiatives. The Data Engineer will assist in building end-to-end data pipelines to enable business intelligence, analytics, and data-driven decision making. This position requires a solid understanding of SQL, data design principles, and data processing methods. The Data Engineer will also help implement and maintain data models, schemas, and participate in discussions around the evolution of Allied's Data Management and Strategy.
Job Duties and Responsibilities:
Data Integration Development and Administration (75%)
  • Identifies, troubleshoots, and resolves data and data processing errors in existing solutions.
  • Works closely with the Data Intelligence team to understand data and reporting requirements and assists in implementing backend data solutions to meet business needs.
  • Develops, maintains, and updates data sets while helping standardize data collection and processing practices.
  • Assists in executing technical plans for extracting, integrating, and moving data to and from third-party providers.
  • Supports the delivery of enterprise data solutions, including ETL processes, warehouse updates, and performance tuning.
  • Mentors other ETL Developers and Junior Data Engineers.

Discovery, Design and Documentation (15%)
  • Creates and maintains documentation of data warehouse structures, data stores and end-to-end data flows.
  • Collaborates with technical teams and internal and external users to support the development of technical designs.
  • Supports the refinement and maintenance of BI-focused data architecture under guidance from senior data engineers.
  • Assists in conducting gap analysis on source system databases compared to the enterprise data warehouse to support Business Intelligence initiatives.
  • Participates in technical discussions and provides input on technical decisions that impact cross-functional teams.
  • Attends architecture and planning meetings to contribute to defining project scope, timelines, and resource estimates.
  • Gains a working knowledge of data warehouse and data mart models and associated business information.
  • Helps identify opportunities for process improvements or the adoption of new technologies that improve data delivery and business value.
  • Works collaboratively with developers and subject matter experts to align technical solutions with business needs, focusing on usability and performance.

Enhance Skillsets (10%)
  • Possess and demonstrate good communication skills to be able to run discovery sessions.
  • Continue to develop data architecture skills by working with senior data engineers and architects.
  • Continue to develop data modeling skills by working with senior data engineers.
  • Enhance skills and knowledge around data management platforms and tools:
    • AWS (EC2, S3, Glue, Lambda, etc.)
    • Snowflake
    • Python
    • Orchestration (Apache Airflow, Step Functions, etc.)
  • Enhance skills and knowledge around database platforms:
    • Snowflake
    • SQL Server
    • Postgres
  • Enhance skills and knowledge around Data Governance
    • Data Analysis and Profiling
    • Data Quality
    • Data Governance
    • Data Modeling
  • Enhance skills and knowledge around file formats and communication types:
    • APIs
    • JSON
    • XML
    • CSV (character separated values)
    • Unstructured

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree or equivalent combination of education and experience required.
  • 3-5 years of experience in data engineering, ETL development, or a related role.
  • Extensive hands-on experience with Informatica and AWS Glue for data integration and transformation.
  • Strong proficiency in Python for data engineering and automation.
  • Deep expertise in AWS Lambda and other cloud-based data services.
  • Strong understanding of data warehousing concepts, data modeling, and SQL.
  • Experience with big data technologies and distributed computing frameworks.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Experience with cloud data platforms such as AWS Redshift, Snowflake, or BigQuery.
  • Advanced knowledge of data governance, security, and compliance best practices.
  • Proficiency in workflow orchestration tools (e.g., Apache Airflow, Step Functions).
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.
  • Experience with real-time data processing frameworks such as Kafka or Kinesis.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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