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Dataops Jobs in New York (NOW HIRING)

Socket.dev

Service Delivery Manager

Manhattan, NY · On-site

$130 - $140/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow ...

Astronomer

Service Delivery Manager

New York, NY · On-site

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow ...

Sigmoid

Director, Consulting - Supply Chain

West New York, NJ · On-site

$197K - $223K/yr

Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Why Join Sigmoid? * Sigmoid provides the opportunity to push the boundaries of what is ...

Stuut, Inc.

Data Engineer

New York, NY · On-site

$135K - $190K/yr

Implement DataOps best practices so our data - and the AI features built on top of it - stays timely, accurate, and trusted * Collaborate with leadership to define KPIs, build dashboards, and surface ...

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Dataops information

See New York salary details

$13

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$39

How much do dataops jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for dataops in New York is $25.30, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $26.30 per hour, depending on experience, location, and employer.

What is a DataOps?

DataOps, short for Data Operations, is a set of practices, processes, and technologies that combine data engineering, data integration, and DevOps methodologies to improve the quality and speed of data analytics. DataOps aims to streamline the flow of data from source to value, enabling organizations to deliver reliable, high-quality data to stakeholders more efficiently. This approach emphasizes collaboration, automation, and monitoring throughout the data lifecycle to reduce errors and shorten development cycles. The ultimate goal of DataOps is to create an agile data pipeline that adapts quickly to changing business needs.

How does a DataOps professional typically collaborate with data engineers, analysts, and other IT teams?

DataOps professionals play a key role in bridging the gap between data engineering, analytics, and IT by facilitating efficient, automated workflows and ensuring data quality across the pipeline. They often work closely with data engineers to streamline data integration and deployment processes, while collaborating with analysts to support timely access to reliable data. Regular communication and cross-functional teamwork are essential, as DataOps is responsible for implementing best practices that help different teams deliver insights faster and with fewer errors. This collaborative environment also encourages continuous feedback and process improvement.

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

To thrive as a DataOps Engineer, you need expertise in data engineering, automation, cloud platforms, and a solid understanding of CI/CD pipelines, typically backed by a degree in computer science or related fields. Familiarity with tools like Apache Airflow, Kubernetes, Docker, Jenkins, and cloud services such as AWS, GCP, or Azure is commonly required, along with knowledge of scripting languages like Python or Bash. Strong collaboration, problem-solving, and communication skills help DataOps professionals work effectively across data, development, and operations teams. These abilities ensure reliable, scalable, and efficient data infrastructure, enabling organizations to quickly deliver high-quality data solutions.

What is the difference between Dataops vs Data Engineer?

AspectDataopsData Engineer
Primary FocusAutomating data workflows, deployment, and operational efficiencyBuilding and maintaining data pipelines, storage, and infrastructure
Skills & CertificationsDevOps tools, scripting, cloud platforms, CI/CD practicesSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentCollaborates with DevOps, data teams, and operationsWorks closely with data scientists, analysts, and infrastructure teams
Industry UsageUsed in organizations focusing on data deployment and automationUsed in data infrastructure development and data pipeline creation

While both Dataops and Data Engineers work with data infrastructure, Dataops emphasizes automation, deployment, and operational efficiency, whereas Data Engineers focus on building and maintaining data pipelines and storage systems. Understanding these differences helps organizations assign the right roles for their data needs.

What are popular job titles related to Dataops jobs in New York?

For Dataops jobs in New York, the most frequently searched job titles are:

What job categories do people searching Dataops jobs in New York look for?

The top searched job categories for Dataops jobs in New York are:

Dataops jobs near you
Infographic showing various Dataops job openings in New York as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 63% Physical, 13% Hybrid, and 24% Remote job distribution, with an average salary of $52,634 per year, or $25.3 per hour.

Senior Software Engineer, Core Platform

Astronomer

New York, NY • On-site

$210K - $250K/yr

Full-time

Posted 21 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role
At Astronomer, we're on a mission to make Apache Airflow the go-to standard for data orchestration, and our R&D team is at the heart of it. We're looking for a Software Engineer to our Core Platform team, where you'll work on core systems that power Astro's Public API, authentication, billing, alerting frameworks, and ensure the platform is reliable, scalable, and maintainable.
This is a chance to build real-world production systems, collaborate with brilliant engineers, and directly impact how companies around the world manage their data. You'll grow your skills fast, tackle challenging technical problems, and be part of a team that's shaping the future of data infrastructure. Astro's Core Platform exists at the heart of all our products; you get to touch all aspects of product, backend and our engineering practice.
What you get to do:
  • Contribute to the development of Astro Platform's architecture and components, through implementation and architectural participation.
  • Collaborate with cross-functional teams to understand user requirements, implement and iterate on features used in our product and by the engineering org as a whole.
  • Work with front end developers, product management and customers to deliver customer facing features such as public facing APIs and the technology behind Astro's own infrastructure.
  • Contribute to the overall platform usability, reliability, and scalability.

What you bring to the role:
  • A track record in building performant, scalable, and reliable backend systems.
  • Strong written and verbal communication skills, with a collaborative mindset.
  • Experience in developing services with Go, interacting with dependencies and service orchestration on Kubernetes.
  • Familiarity with SQL databases (Postgres, with Spanner experience also a plus)
  • Advanced understanding of distributed systems concepts and NALSD.
  • Experience rationally leveraging AI coding assistants and LLMs (e.g., Claude, Cursor, Gemini) to accelerate development - from prototyping and automated testing to code refactoring and documentation.

Bonus points if you have:
  • Contributions to open source projects.
  • Experience with Apache Airflow or related workflow orchestrators.
  • Experience with critical business functions such as billing, authentication, and systems and practices around this area.

The estimated salary for this role ranges from $210,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime #LI-Hybrid
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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