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Data Engineer Jobs in Avon, IN (NOW HIRING)

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

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 ...

Data Engineer

Carmel, IN

$114K - $137K/yr

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 ...

Data Engineer

Indianapolis, IN · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

New

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

New

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

New

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures ...

Data Engineer

Carmel, IN

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer plays a key role supporting our organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, andmaintainthe data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

New

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Data Engineer on our Finance amp; Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data structure and query optimization Ensure data integrity, quality, and security across all systems and ...

Data Engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

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Showing results 1-20

Data Engineer information

See Avon, IN salary details

$42.7K

$124.4K

$170.2K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Avon, IN is $124,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Avon, IN? The most popular types of Data Engineer jobs in Avon, IN are:
What are popular job titles related to Data Engineer jobs in Avon, IN? For Data Engineer jobs in Avon, IN, the most frequently searched job titles are:
What cities near Avon, IN are hiring for Data Engineer jobs? Cities near Avon, IN with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Avon, IN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,403 per year, or $59.8 per hour.

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

181st of 304 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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