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Dataops Jobs in New York (NOW HIRING)

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Governance frameworks DCAM, DAMA-DMBOK, DataOps maturity, data product taxonomy, stewardship operating model * Privacy & regulatory GDPR, CCPA, HIPAA, SOX, PCI; classification, retention, lineage ...

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Governance frameworks DCAM, DAMA-DMBOK, DataOps maturity, data product taxonomy, stewardship operating model * Privacy & regulatory GDPR, CCPA, HIPAA, SOX, PCI; classification, retention, lineage ...

Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities * Contributing to AI ...

Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities * Contributing to AI ...

Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities * Contributing to AI ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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

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

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.

$69.75 - $89.75/hr

Contractor

Re-posted 5 days ago


Job description

Data Architect
Designer of federated computational governance - the rules, standards, and interoperability contracts that let independently-owned data products compose into a coherent mesh. Less "central modeler," more "framework setter."
Core skills
  • Modeling dimensional, Data Vault 2.0, anchor modeling, semantic/ontology modeling
  • Mesh architecture bounded-context decomposition (DDD), domain identification, distinguishing Foundational (single record-of-truth from a source domain) vs. Derivative (cross-domain composition) products, polysemes and master entity reconciliation across products
  • Interoperability standards global identifier strategy, universal time/geo dimensions, shared semantic layer (Cube, dbt Semantic Layer, AtScale), schema/contract evolution rules
  • Governance frameworks DCAM, DAMA-DMBOK, DataOps maturity, data product taxonomy, stewardship operating model
  • Privacy & regulatory GDPR, CCPA, HIPAA, SOX, PCI; classification, retention, lineage-driven impact analysis
  • Reference architecture lakehouse, medallion vs. data product topology, event-driven architecture, CDC patterns
  • AI architecture governed RAG, agentic data access patterns, knowledge graphs, AI-ready semantic layers, model-data contracts

Mesh-specific defining "what makes a data product fit-for-purpose," authoring the federated policy-as-code that runs on the platform, and ratifying the decision rights split between central and domain teams

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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