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Senior Data Pipeline Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build, maintain, and expand data pipelines and cloud warehouse infrastructure supporting analytics and reporting. * Integrate and onboard data from a variety of platforms and source systems into the ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Essential Duties and Responsibilities Design, build, and maintain robust data pipelines and ETL ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Build and maintain data pipelines and transformations (batch and streaming) * Implement data models ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Build and maintain data pipelines and transformations (batch and streaming) * Implement data models ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Build and maintain data pipelines and transformations (batch and streaming) * Implement data models ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Design, build, and maintain data pipelines that integrate laboratory, quality, design, and partner ... API & Platform Engineering * Develop and maintain RESTful API and instrument data connectors with ...

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 ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

In this role, you will work across the full geospatial data pipeline--from data ingestion and processing to analysis, modeling, and visualization--and collaborate closely with engineering and product ...

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 ...

Senior Data Scientist

Indianapolis, IN · On-site

$120 - $160/hr

... pipelines and machine learning models, automating business workflows and answering business ... How you'll create opportunities in this Data Scientist Senior role: * Service Specialization:

... Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Showing results 41-60

Senior Data Pipeline Engineer information

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

To thrive as a Senior Data Pipeline Engineer, you need strong expertise in data engineering, programming (Python, Java, or Scala), and a solid understanding of ETL processes, often backed by a degree in computer science or a related field. Familiarity with big data tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as relevant certifications, is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These skills and qualifications are crucial for building robust, scalable, and efficient data pipelines that support critical business analytics and decision-making.

What are some typical challenges senior data pipeline engineers face when ensuring data quality and reliability?

Senior Data Pipeline Engineers frequently encounter challenges such as handling large volumes of diverse data, ensuring timely and accurate data delivery, and implementing robust monitoring to detect failures early. Managing data consistency across distributed systems and balancing real-time processing with batch workloads are also common hurdles. Collaborating closely with data scientists, analysts, and DevOps teams is essential to resolve data quality issues and maintain reliable pipelines in a dynamic environment.

What is a senior data pipeline engineer?

A Senior Data Pipeline Engineer is a highly skilled professional responsible for designing, building, and maintaining the systems that move and process large amounts of data within an organization. They ensure data is collected, transformed, and made available to analysts, data scientists, and business applications in a reliable and efficient manner. Senior engineers typically lead projects, mentor junior staff, and make critical decisions about data architecture and technology choices. Their work is essential for organizations that rely on data-driven insights and operations.

What are the most commonly searched types of Data Pipeline Engineer jobs in Indiana?

The most popular types of Data Pipeline Engineer jobs in Indiana are:

What are popular job titles related to Senior Data Pipeline Engineer jobs in Indiana?

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

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

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

What cities in Indiana are hiring for Senior Data Pipeline Engineer jobs?

Cities in Indiana with the most Senior Data Pipeline Engineer job openings:

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


AAA Hoosier Motor Club rating

5.8

Company rating: 5.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

291st of 307 rated insurance


Job description

ABOUT AAA HOOSIER:
Since its creation in 1902, AAA has become one of North America’s largest membership organizations. Today, AAA Hoosier provides roadside assistance, travel services, exclusive member discounts and benefits, and trusted financial and insurance services to nearly 400,000 Hoosiers. To learn more about AAA Hoosier offers, visit www.hoosier.aaa.com.
Here's what's in it for YOU:
  • A company culture that provides training and learning opportunities.
  • A brand that you can be proud to be part of.
  • A culture that will challenge you to be your best.
  • Health / Dental / Vision benefits.
  • Paid Time Off.
  • Paid Holidays.
  • Corporate Incentive Plan
  • Company provided LTD amp; Basic Life AD amp;D Insurance.
  • Service Anniversary Recognition.
  • Free AAA Plus Membership.
  • Generous 401k w/ company match.
  • Company provided HSA dollars.
Position Summary:
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 analysts and reporting directly to the Director of Finance, you will keep our data pipelines reliable, expand our warehouse as new data sources come online, and help shape the structures that turn raw data into trusted analytical outputs.
This is a hands-on, high-ownership role on a small, collaborative team. Successful candidates are technically strong, detail-oriented, and thrive in an environment with a lot of growth and change.
Key Responsibilities:
  • Build, maintain, and expand data pipelines and cloud warehouse infrastructure supporting analytics and reporting.
  • Integrate and onboard data from a variety of platforms and source systems into the warehouse.
  • Maintain and optimize the processing and relational modeling of data within the warehouse to support analytics-ready outputs.
  • Ensure day-to-day data reliability, quality, and availability across the platform.
  • Prepare and support clean, dependable data feeds for reporting in Tableau.
  • Partner with analysts on data discovery, query construction, and support for deeper analyses.
  • Monitor, troubleshoot, and optimize pipeline performance and cost.
  • Collaborate on the design of data structures and emerging AI/knowledge-base capabilities under the direction of the team.
  • Maintain accurate technical documentation for data pipelines, integrations, warehouse structures, and data transformation processes to support knowledge sharing and long-term sustainability.
  • Monitor data pipeline performance and proactively identify, troubleshoot, and resolve data quality, processing, and integration issues.
  • Collaborate with business stakeholders and technical teams to understand data requirements and implement scalable solutions that support reporting and analytics needs.
  • Support the adoption of development best practices including source control, code management, and change tracking for data engineering solutions.
Qualifications/ Education and Experience Requirements:
  • Bachelor’s degree in a related field preferred, or equivalent combination of education and experience.
  • Three (3) to five (5) years of experience in data engineering or a related field required.
  • Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred.
  • Proficiency in SQL and Python.
  • Experience integrating data from multiple source systems, including relational databases, cloud warehouses, and on-prem systems.
  • Working knowledge of relational and dimensional data modeling.
  • Experience using Git or other source control platforms for managing and maintaining code repositories.
  • Experience integrating and consuming data through APIs and modern application interfaces.
  • Familiarity with collaborative development practices, version control workflows, and deployment processes.
  • Experience documenting technical solutions, data flows, and system integrations.
  • Exposure to Microsoft Fabric, Power BI, or similar modern data and analytics platforms preferred.
  • Effective communication and critical thinking skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Exposure to data preparation for BI tools such as Tableau preferred.
  • Exposure to data layers or knowledge bases supporting LLM / AI applications preferred.
Join a team where you can grow your career while building the systems that drive smarter decisions across AAA Hoosier every day.
Connect with AAA Hoosier:
Facebook:
www.facebook.com/aaahoosier
Company Website:
www.hoosier.aaa.com

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