1

Airflow Developer Jobs in Indiana (NOW HIRING)

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Analytics Engineer

Indianapolis, IN

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Staff ML Engineer

Zionsville, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Building ML pipelines with SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model ... Feature Engineering Infrastructure: Experience with feature stores (SageMaker Feature Store, Feast ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Description We are looking for a Senior Analytics Engineer to sit at the intersection of data ... Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. * Experience developing ...

Senior Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

This is a senior-flavored engineering role that combines hands-on pipeline and platform work with ... Integrate external data sources via APIs and manage pipeline orchestration (Airflow, Databricks ...

Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Staff ML Engineer

Zionsville, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Building ML pipelines with SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model ... Feature Engineering Infrastructure: Experience with feature stores (SageMaker Feature Store, Feast ...

Showing results 41-60

Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What cities in Indiana are hiring for Airflow Developer jobs?

Cities in Indiana with the most Airflow Developer job openings:

Infographic showing various Airflow Developer job openings in Indiana as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Engineer (in person)

SEP

Westfield, IN

$109K - $131K/yr

Full-time

Re-posted 29 days ago


Job description

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You'll spend your days building, testing, and shipping data systems that real clients depend on. 
What we have to offer
  • Variety on every axis - tools, technologies, market sectors, methodologies 
  • Flexible, reasonable work schedules 
  • Extensive opportunities to learn and develop yourself 
  • A community of friendly, talented, and effective peers 
  • Opportunities to try out different roles with minimal risk 
  • Gorgeous facilities 
What you'll be doing
  • Build and maintain data pipelines and transformations (batch and streaming) 
  • Implement data models for analytics use cases 
  • Write data quality checks and tests for data pipelines 
  • Configure orchestration and workflow tooling to support delivery 
  • Implement infrastructure as code for data platforms 
  • Investigate and resolve pipeline failures and performance issues 
  • Participate in peer code review and contribute to team documentation 
  • Communicate progress, blockers, and risks to the team and stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Practical experience in data pipeline development, ideally in both batch and streaming patterns 
  • Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts) 
  • Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience writing tests and data quality checks for pipelines 
  • Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus 
  • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus 
  • Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (2+ years desired) 
  • Must be legally authorized to work in the United States 
  • Must not require visa sponsorship or have work authorization based on OPT or CPT 
  • Must be able to work from our office in Westfield, IN without relocation financial assistance 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana's largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
apply for this job

SEP logo

About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988