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Data Engineer Airflow Jobs in Rutherford, NJ (NOW HIRING)

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Python, SQL, GCP(BQ), Spark, Airflow * GCP Shop - using Big Query * Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database ... Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.) * Experience building or ...

Data Engineer

New York, NY · On-site +1

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data ... Airflow, or similar). * Experience working data generating frontends in React and TypeScript.

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... Familiarity with data pipeline orchestration tools (Airflow, Oozie, etc.). * Good understanding of ...

Data Engineer

New York, NY · On-site

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data ... Airflow, or similar). * Experience working data generating frontends in React and TypeScript.

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

Contributions to data engineering open-source projects (Airflow, dbt, Great Expectations). * Understanding of responsible AI and data governance practices. Responsibilities: * Design and build data ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title - Snowflake Data Engineer Contract - 12+ Months Location - NYC Onsite - Monday to Friday ... Airflow, dbt, or equivalent) for end-to-end pipeline scheduling

New

DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable ... Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake ...

Lead Data Engineer

Manhattan, NY · On-site

$80 - $88/hr

Lead Data Engineer New York, NY (10001) 6+ months Contract to Perm About the Role We are seeking a ... Hands-on experience with AWS (Glue, EMR, S3, Athena, Kinesis/MSK, Airflow, Lambda, Step Functions ...

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres * BASH/Shell scripting * Experience with healthcare data and leading data teams * Agile development experience * Strong problem-solving and ...

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and ... Experience using Dagster and Airflow orchestration tools * 2+ years hands-on experience with cloud ...

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and ... Experience using Dagster and Airflow orchestration tools * 2+ years hands-on experience with cloud ...

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer will be responsible for building data delivery services that support critical ... Experience using tools such as Talend, Amazon Glue, and Airflow * Experience with Python and R

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer will be responsible for building data delivery services that support critical ... Experience using tools such as Talend, Amazon Glue, and Airflow * Experience with Python and R

Sr Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Summary : datafuelX is seeking a Senior Data Engineer to help evolve their data platform for ... tools (e.g., Airflow, Dagster). • Collaborate with machine learning, client-facing, product ...

Data Engineer

New York, NY · On-site

$165K - $205K/yr

As an early Data Engineer, you'll play a key role in designing, building, and supporting the next ... BI Platform Infrastructure, Airflow, BigQuery Tuning, Customer Facing Data Delivery Infrastructure ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Hi Role- Snowflake Data Engineer Location: NYC, NY Fulltime Morgan Stanely Role Overview Build and ... Airflow, Control-M, or Autosys. * AWS: S3, IAM, Glue, Lambda, Secrets Manager. * CI/CD and IaC: Git ...

New

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

You'll work closely with software engineers, data scientists, quantitative analysts, and business ... Develop and maintain robust ETL/ELT pipelines using Python , Airflow , DBT , and Airbyte . * Build ...

Showing results 41-60

Data Engineer Airflow information

See Rutherford, NJ salary details

$45.4K

$132.2K

$180.9K

How much do data engineer airflow jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer airflow in Rutherford, NJ is $132,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

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 Rutherford, NJ? For Data Engineer Airflow jobs in Rutherford, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Rutherford, NJ look for? The top searched job categories for Data Engineer Airflow jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Data Engineer Airflow jobs? Cities near Rutherford, NJ with the most Data Engineer Airflow job openings:
Infographic showing various Data Engineer Airflow job openings in Rutherford, NJ as of June 2026, with employment types broken down into 3% As Needed, 82% Full Time, 10% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $132,237 per year, or $63.6 per hour.

Big Data Engineer

1 point system

New York, NY • Remote

$57 - $75.50/hr

Contractor

Re-posted 15 hours ago


Job description

Interview Process:

  • First Round Interview – 60 minutes TEAMS coding exercise
  • Second Round Interview – 90-minute interview, they will actually have you do a paired programming session to see how you interact and what your thought process is when going through the code

Must Have:-

  • Python, SQL, GCP(BQ), Spark, Airflow 
  • GCP Shop - using Big Query
  • Does NOT want a machine learning engineer, wants a big data engineer

Required Skills:

  • 5-10 years of experience
  • Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL databases, Apache Kafka, writing complex sql queries, GCP (Bigquery, Dataproc), working with RESTful APIs in data pipelines, CI/CD (gitlab CI)

Bonus Skills:

  • Experience with backend stack (Java, Springboot)

Who the team is and what they do:

The Customer Identity (CI) team is central to the enterprise, focused on ensuring customer data is accurate, consistent, and readily accessible. This critical data is the foundation for essential business processes, including personalized marketing, analytical reporting, and seamless online and in-store checkout and customer service experiences.

The CI team manages a wide array of high-performance, scalable batch and real-time services. These services are utilized at numerous customer interactions, such as in-store purchases, online orders, rewards program enrollments, and activations from various marketing channels (Email, Direct Mail, SMS, Push notifications, etc.). By leveraging modern development practices, tools, and technology platforms, the CI team builds capabilities that empower our customer-facing and checkout teams to deliver personalized, relevant, and frictionless experiences, ensuring customers realize value with every interaction.