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Data Engineer Airflow Jobs in Delaware (NOW HIRING)

... Airflow. Sound knowledge of relational databases (SQL) and experience with large SQL based systems ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Required Skill and Experience Experience in data warehousing architectural approaches. Sound ... Experience in orchestration tool like Autosys, Airflow. Sound knowledge of relational databases ...

Senior BigData Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Senior BigData Engineer Location: Wilmington, DE Duration: Multi-Year Contract * Will join a ... Data pipeline and workflowmanagement tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc. * AWS cloud ...

Power BI Architect-67189

Dover, DE · On-site

$120 - $160/hr

Partner with data engineering teams to implement ETL/ELT pipelines, orchestration, CI/CD ... Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage & formats: Parquet/Delta ...

$120 - $180/hr

As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology, Consumer ... Experience orchestrating data/compute workflows (e.g., Airflow or AWS Step Functions)

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

JD: Expert proficiency in Python programming language Expert proficiency in PySpark, including ... and tools Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. Design ...

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Data Engineer Airflow information

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.

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 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.

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 are popular job titles related to Data Engineer Airflow jobs in Delaware?

For Data Engineer Airflow jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Delaware look for?

The top searched job categories for Data Engineer Airflow jobs in Delaware are:

What cities in Delaware are hiring for Data Engineer Airflow jobs?

Cities in Delaware with the most Data Engineer Airflow job openings:

Infographic showing various Data Engineer Airflow job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Hadoop PySpark Data Engineer

Infosys

Newark, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services


Job description


In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your contribution to the team:
• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.
EEO/About Us
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Required Skill and Experience
• Experience in data warehousing architectural approaches.
• Sound understanding and experience with Hadoop ecosystem (Cloudera).
• Experience in working with a Big Data implementation in production environment.
• Experience with Big Data technologies like Hadoop, Hive, Spark, python, etc. Experience in python and Unix shell scripting.
• Experience in orchestration tool like Autosys, Airflow.
Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
• Understanding of Agile methodologies and technologies
Preferred Skill and Experience
• Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
• Knowledge and experience with Cloud and containerization technologies.
• Experience with data visualization tools like Tableau"
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.
Overview
The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.
Additional Details
Estimated annual compensation range for candidate based in the below locations will be
Jersey City, NJ: $82,419 to 126,600

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