ZipRecruiter

Log In

1

Dataops Jobs in New York (NOW HIRING)

Pearson

Senior Software Engineer

Hoboken, NJ

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD, infrastructureascode, and automated deployment of data pipelines. * Observability: Monitoring ...

Net2Source (N2S)

Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools. * Demonstrated experience in ...

Pearson Education

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD, infrastructure-as-code, and automated deployment of data pipelines. * Observability: Monitoring ...

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 ...

Astronomer

Software Engineer - Applications

New York, NY · On-site

$144K - $160K/yr

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 ...

MSD

Dir , Commercial Data Capability

Rahway, NJ · On-site

Data Quality & Reliability (DataOps) 1. Data Operations Lifecycle :Lead the Data Operations team to ensure steady-state platform operations, high availability, rapid incident response, and strict SLA ...

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 ...

Astronomer

Staff Product Manager - NYC

New York, NY · On-site

$240K - $270K/yr

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 ...

previous page

Showing results 41-60

All JobsDataops JobsDataops Jobs in New York

Dataops information

See New York salary details

$13

$25

$39

How much do dataops jobs pay per hour?

As of Aug 14, 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.

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 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.

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 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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $52,634 per year, or $25.3 per hour.

Senior Software Engineer

Pearson

Hoboken, NJ

$120K - $140K/yr

Full-time

Re-posted 10 days ago

Job description

Senior Data Engineer (API & Platform Integration)

Key Responsibilities

Platform & Data Engineering

  • Design, build, and maintain cloudnative data pipelines and platforms supporting PLS and IAR use cases (e.g., learner activity, assessments, recommendations, analytics).
  • Own endtoend data workflows across ingestion, transformation, storage, and serving layers.
  • Develop scalable batch and streaming pipelines that meet performance, reliability, and dataquality expectations.
  • Contribute to data modeling standards that support downstream analytics, ML, and reporting needs.

Reliability, Quality & Security

  • Ensure data quality, observability, and pipeline reliability through monitoring, automated validation, and alerting.
  • Apply Pearson's data security, privacy, and retention standards in all platform designs.
  • Support production incident analysis, rootcause identification, and longterm remediation.

Collaboration & Leadership

  • Collaborate with product managers, analytics engineers, data scientists, and platform teams to align data solutions to business goals.
  • Act as a technical mentor for junior engineers, setting best practices for data engineering and platform development.
  • Provide technical input into architectural decisions, roadmap planning, and platform modernization initiatives.

Continuous Improvement

  • Drive continuous improvement in tooling, frameworks, and engineering practices within the PLS / IAR data platform.
  • Evaluate emerging technologies and patterns to evolve Pearson's data ecosystem responsibly.

Required Skills & Proficiencies

Pearson Power Skills (Core)

  • Collaboration and crossfunctional communication
  • Accountability and ownership of outcomes
  • Attention to detail and quality
  • Ethical responsibility and data stewardship
  • Adaptability in a changing technology landscape 

RoleBased Technical Skills 

  • Cloud Computing: Designing and operating data platforms in cloud environments (e.g., AWSbased data services).
  • Data Engineering: Building ETL/ELT pipelines, orchestration workflows, and data models at scale.
  • Data Security: Implementing secure data access, encryption, and governance controls.
  • Software Engineering: Writing maintainable, testable code using modern engineering practices.
  • DevOps / DataOps: CI/CD, infrastructureascode, and automated deployment of data pipelines.
  • Observability: Monitoring, logging, and alerting for data systems and pipelines

RoleBased Technical Skills - Future (Desirable)

  • AIenabled and MLadjacent data platform patterns
  • Automated data quality and intelligent observability
  • Eventdriven and streaming architectures
  • Advanced data governance and lineage automation

SeniorLevel Expectations

  • Operates independently on complex, ambiguous data problems.
  • Influences platform and architectural decisions beyond immediate team scope.
  • Provides technical leadership and guidance without direct people management.
  • Balances longterm platform evolution with shortterm delivery needs.

Working Knowledge (Required)

  • Fullstack development concepts, including integration with Web APIs
  • Programming languages: Java, Python
  • AWS cloud services used for data platforms
  • Datastores: DynamoDB, Aurora DB, MongoDB, RDBMS
  • CI/CD and operational practices supporting data platforms

Candidates local to Hoboken, NJ are highly preferred.

Applications will be accepted through May 21. This window may be extended depending on business needs. 

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:   

The full-time salary range for this position  is between $120,000 - $140,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Apply