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Senior Data Engineering Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

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 ...

Data Engineer

Carmel, IN

$114K - $137K/yr

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 ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... engineering best practices and scalable design patterns Required Qualifications • 5+ years of experience in data engineering, data platform development, or related roles • Proven experience ...

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Solutions are designed by operators who understand the mission, engineered for the conditions that ... Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Works closely with senior data engineers and other teams to understand data needs and requirements. Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and ...

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 ... Bachelor's degree in in computer science, software engineering or a closely related field; a Master ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... Bachelor's degree in computer science, Engineering, Information Systems, or a related technical or ...

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 ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... Bachelor's degree in computer science, Engineering, Information Systems, or a related technical or ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... Bachelor's degree in computer science, Engineering, Information Systems, or a related technical or ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ...

The role requires collaboration with other analysts, data engineers, data product managers, and ... The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

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 Senior Data Engineering jobs in Indiana?

For Senior Data Engineering jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Indiana look for?

The top searched job categories for Senior Data Engineering jobs in Indiana are:

What cities in Indiana are hiring for Senior Data Engineering jobs?

Cities in Indiana with the most Senior Data Engineering job openings:

Infographic showing various Senior Data Engineering 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

183rd of 307 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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