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Data Engineer Airflow Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN ยท On-site

$112K - $134K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

Data Engineer

South Bend, IN

$112K - $134K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

Data Engineer

South Bend, IN ยท On-site

$112K - $134K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Data Engineer (in person)

Westfield, IN ยท On-site

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows ...

Sr Databricks Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

... Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources Ability ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD ... Security & Privacy: Engineer data lifecycle policies that strictly adhere to global privacy ...

Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD ... Security & Privacy: Engineer data lifecycle policies that strictly adhere to global privacy ...

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 ยท 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 ยท 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 ...

Manager Data Engineering

Warsaw, IN ยท On-site +1

$110K - $132K/yr

Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana ... Experience with: * dbt, Airflow, Azure Data Factory (or equivalent tools) * CI/CD pipelines ...

Manager Data Engineering

Mooresville, IN ยท On-site +1

$113K - $135K/yr

Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana ... Experience with: * dbt, Airflow, Azure Data Factory (or equivalent tools) * CI/CD pipelines ...

Manager Data Engineering

Warsaw, IN ยท On-site +1

$110K - $132K/yr

Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana ... Experience with: * dbt, Airflow, Azure Data Factory (or equivalent tools) * CI/CD pipelines ...

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Showing results 1-20

Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Indiana? For Data Engineer Airflow jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Indiana look for? The top searched job categories for Data Engineer Airflow jobs in Indiana are:
What cities in Indiana are hiring for Data Engineer Airflow jobs? Cities in Indiana with the most Data Engineer Airflow job openings:
Data Engineer

Data Engineer

Steel Warehouse

South Bend, IN โ€ข On-site

$112K - $134K/yr

Full-time

Posted 17 days ago


Job description

Description:

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources
  • Build and optimize data models to support analytics and reporting use cases
  • Ensure data quality, integrity, and reliability through monitoring, validation, and testing
  • Implement and support data governance practices, including data lineage, cataloging, and metadata management
  • Enforce data standards, naming conventions, and access controls across datasets
  • Partner with business stakeholders to define data ownership, definitions, and quality expectations
  • Manage and optimize data storage solutions (data warehouses, lakes, lakehouses)
  • Implement performance tuning and cost optimization strategies
  • Maintain documentation for data architecture, pipelines, and governance processes
  • Support deployment and orchestration of data workflows using modern tools
  • Troubleshoot and resolve data issues in a timely manner
Requirements:

Required Qualifications

  • Bachelorโ€™s degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 2โ€“5+ years of experience in data engineering or related roles
  • Strong SQL skills and experience working with relational databases
  • Experience building data pipelines using tools such as Python, Spark, or similar
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric)
  • Understanding of data modeling concepts (star schema, normalization, etc.)
  • Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Preferred Qualifications

  • Experience with orchestration tools (Airflow, Azure Data Factory, etc.)
  • Knowledge of real-time/streaming data processing
  • Familiarity with DevOps practices (CI/CD, version control)
  • Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric)
  • Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation)
  • Strong understanding of data security and compliance best practices
  • Strong problem-solving and communication skills