ZipRecruiter

Log In

1

Dataops Jobs in New York (NOW HIRING)

Kforce Technology Staffing

Lead DataOps Engineer

Millburn, NJ · On-site

$102K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead DataOps Engineer will work on projects responsible for technology operations and support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data ...

New

Woongjin, Inc

DataOps Engineer

Englewood Cliffs, NJ · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Company Description For More Open Positions Visit us at: Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We ...

SBT Global, Inc.

DataOps Engineer

Englewood Cliffs, NJ · On-site

$10K/mo

Company Description 1 yr Contract Full-Time, On Site Relocation Required (Englewood Cliffs, NJ until 9/2026, Plano, TX effective 10/2026) Pay Rate: ~$10,190/mo DOE We are looking for a midlevel ...

Woongjin, Inc

DataOps Engineer

Englewood Cliffs, NJ

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Company Description For More Open Positions Visit us at: Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We ...

SBT Global, Inc.

DataOps Engineer

Englewood Cliffs, NJ · On-site

$10K/mo

Company Description 1 yr Contract Full-Time, On Site Relocation Required (Englewood Cliffs, NJ until 9/2026, Plano, TX effective 10/2026) Pay Rate: ~$10,190/mo DOE We are looking for a mid-level ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal ...

Astronomer

Sales Engineer

New York, NY · On-site

$200K - $250K/yr

Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale ...

Peloton

Data Engineering Manager

New York, NY · On-site

$173K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements * Manage and mentor offshore engineering resources, providing ...

HealthFirst

Sr Data Engineer

New York, NY · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Senior Data Engineer practices DataOps -- CI/CD/CT, automated validation, observability, and Agile delivery -- and provides technical leadership through design reviews, mentoring, and engineering ...

Sirius XM

Principal Engineer, Data Operations

Manhattan, NY · On-site

$126K - $151K/yr

Resolve complex DataOps and data architecture issues across large-scale ecosystems, including streaming, podcasting, satellite, publisher, and advertiser use cases. * Review and guide the development ...

Octus

Software Engineer

New York, NY · On-site

$110K - $120K/yr

The DataOps Engineering team is focused on internal user-facing applications that build and maintain the core internal web and data platform, enabling users to ingest key data that is core to the ...

next page

Showing results 1-20

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.

Lead DataOps Engineer

Kforce Technology Staffing

Millburn, NJ • On-site

$102K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

RESPONSIBILITIES:
Kforce has a client that is looking for a Lead DataOps Engineer to work on-site in Short Hills, NJ 2 days a week for a contract to hire opportunity.
Summary:
The Lead DataOps Engineer will work on projects responsible for technology operations and support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. We are looking for a DataOps leader who can build the function from the ground up, establish strategy and best practices, lead cross-functionally, and remain hands-on when needed. This role will coordinate with architects, developers, security, infrastructure, operations, BI, and data teams without necessarily having direct reports.
REQUIREMENTS:
* Experience in evaluating tooling, recommending processes, and designing the broader operating model
* Expertise with client's core tools including Azure Databricks, Azure DevOps, GitHub, and data pipeline/orchestration tools
* Data Operations expertise in a support role is required for this role
* DataOps, enterprise data pipeline, Azure Databricks, SQL, PySpark, CI/CD, and DevOps experience
* Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab, etc.)
* Cross-functional leadership and technical credibility are critical
Preferred Experience:
* SAFe Agile experience
* Streaming platforms/real-time data processing
* AI or machine learning workload support
* FinOps/cloud cost governance
* Insurance, financial services, or another regulated industry
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Apply