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Dataops Jobs in New York (NOW HIRING)

Kforce Technology Staffing

Senior DataOps Engineer

Queens, NY · On-site

$127K - $168K/yr

Kforce has a client that is seeking a Senior DataOps Engineer in Long Island City, NY. Summary: The Senior Data Operations Engineer is a crucial member of the team, providing essential data support ...

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 ...

The Mutual Group

Lead IT Project Manager

New York, NY · Hybrid

$140K - $170K/yr

Improve delivery practices: promote test automation, DevOps/CI/CD, DataOps/ML Ops, and data-driven insights (burn-down, cycle time, predictive risk); leverage AI-assisted PM tooling where valuable.

United IT Solutions

Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

DataOps * MLOps (where applicable) * Data Mesh / Data Fabric paradigms * Enable self-service analytics and business intelligence capabilities. 5. Stakeholder Management * Collaborate with: * Business ...

United IT

Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Drive adoption of modern practices such as DataOps, MLOps (where applicable), Data Mesh / Data Fabric paradigms. * Enable self-service analytics and business intelligence capabilities. 5. Stakeholder ...

Rearc

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

You bring a DataOps mindset: CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code are standard practice for you, not afterthoughts. * Your experience spans ETL/ELT ...

Astronomer

Field Engineer, SWAT

Manhattan, 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

Product Management Intern

New York, NY · On-site

$30 - $40/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 ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Proposes actions to realize opportunities and advocates for DevOps/DataOps opportunities. Qualifications : Required : • Bachelor's Degree in Computer Science, or other related field, or equivalent ...

New

Astronomer

Field Engineer, SWAT

New York, NY · On-site

$175K - $240K/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 ...

Pearson

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

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

Astronomer

Enterprise Account Executive

New York, NY · On-site

$260K - $300K/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 ...

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How much do dataops jobs pay per hour?

As of Jul 3, 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 are 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,634 per year, or $25.3 per hour.
DataOps Lead (Hybrid)

DataOps Lead (Hybrid)

Selective Insurance Company of America

Short Hills, NJ • On-site

$130K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Job description

About Us
At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview
Selective Insurance is seeking an energetic and collaborative Data Engineering Team lead to work on data, analytics and DataOps projects supporting the Information Management group. This group is responsible for technology 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. An ideal candidate will leverage their technical proficiency and leadership competencies to drive the delivery of key objectives.
Responsibilities
  • Lead a high performing team in the delivery of key components and business deliverables.
  • Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization.
  • Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products end-to-end.
  • Establish operational expectations for data products/data contracts, including reliability targets, change management, and consistency of consumption for analytics and AI use cases.
  • Drive adoption of automation, orchestration, and observability capabilities for data pipelines.
  • Ensure both on-time successful delivery, and the technical and architectural quality of the solutions.
  • Collaborate with individuals from all areas of the business and IT organizations to develop accurate business requirements and design architectural solutions.
  • Resolve and escalate technical and project delivery issues as needed.
  • Drive process improvements within the team and across the department to improve efficiency and quality.
  • Work directly with the architecture group to coordinate new design patterns and technology.
  • Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests.
  • Act as a key contributor in planning and estimation of projects
  • Support development of talent within the organization through coaching and mentoring of team members.
  • Ensure design, code, and test plan reviews are conducted as appropriate.

Qualifications
  • Required:
    • Proven history of owning and taking accountability for leading others to complete complex deliverables.
    • Excellent communication skills
    • 8+ years of experience in data engineering, analytics engineering, or platform engineering.
    • Strong experience with cloud data platforms (Azure, AWS, or GCP).
    • Experience with Databricks, or modern lakehouse architecture.
    • Proficient with Data pipelines and orchestration (e.g., Airflow, ADF, Dagster, dbt)
    • Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab, etc.)
    • Proficient in Data modeling, PySpark and SQL
    • Proficient in modern data architecture
    • Experience with DataOps or other automation frameworks.

  • Preferred:
    • SAFe agile work experience or similar agile process
    • College degree in Computer Science or Management Information systems
    • Familiarity with streaming platforms (Event Hubs, Kafka, Kinesis).
    • Experience supporting machine learning or AI workloads in production.
    • Property Casualty Insurance experience
    • Experience working within Azure ecosystem

Total Rewards
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
Pay Range
USD $130,000.00 - USD $176,000.00 /Yr.
Additional Information
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
For Massachusetts Applicants
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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