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Data Engineering Jobs in Carmel, IN (NOW HIRING)

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

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 ...

Allied Solutions LLC

Data Engineer

Carmel, IN

$114K - $137K/yr

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 ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

Description Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives.

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Job Type Full-time Description Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance , and broader Enterprise ...

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Pipeline Engineering: * Ingestion amp; Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates ...

K1X

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You willbe responsible forcreating reliable, scalable, and high-quality data systems that enable downstream ML ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions - so good engineering becomes the default, not the exception. Why You'll Love Working Here * You ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions -- so good engineering becomes the default, not the exception. Why You'll Love Working Here * You ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions - so good engineering becomes the default, not the exception. Why You'll Love Working Here * You ...

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Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Carmel, IN

Data Engineering information

See Carmel, IN salary details

$45.6K

$163.7K

$241.6K

How much do data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineering in Carmel, IN is $163,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What job categories do people searching Data Engineering jobs in Carmel, IN look for?

The top searched job categories for Data Engineering jobs in Carmel, IN are:

What cities near Carmel, IN are hiring for Data Engineering jobs?

Cities near Carmel, IN with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Carmel, IN as of August 2026, with employment types broken down into 83% Full Time, 5% Part Time, and 12% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $163,703 per year, or $78.7 per hour.

Data Engineer

Allied Solutions LLC

Carmel, IN • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

186th of 311 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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