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Full Time Dataops Engineer Jobs in New York (NOW HIRING)

Senior Data Ops Engineer

New York, NY · On-site

$125K - $150K/yr

Role Overview We are hiring a Senior DataOps Engineer to drive enterprise DataOps capabilities ... Benefits: As a full-time employee of the company or as an hourly employee working more than 30 ...

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 ... qualifications. #LI-Fulltime #LI-Hybrid At Astronomer, we value diversity. We are an equal ...

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ... The full-time salary range for this position is between $120,000 - $140,000 This position is ...

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ... The full-time salary range for this position is between $120,000 - $140,000 This position is ...

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... qualifications. #LI-Fulltime #LI-Hybrid At Astronomer, we value diversity. We are an equal ...

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ... The full-time salary range for this position is between $120,000 - $140,000 This position is ...

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 ... S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) ...

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 ... S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) ...

Staff Product Manager - NYC

New York, NY · On-site

$240K - $270K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... You will closely collaborate with engineering, sales, and customer teams to deliver innovative ...

Full Time Dataops Engineer information

What is the difference between Full Time Dataops Engineer vs Data Analyst?

AspectFull Time Dataops EngineerData Analyst
Required credentialsBachelor's in CS, Data Engineering, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Excel, Tableau
Work environmentTechnical teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization
Employer usageTech companies, data-driven organizationsMarketing, finance, consulting firms
Search intentBuilding and maintaining data infrastructureInterpreting data for insights

Full Time Dataops Engineers focus on developing, maintaining, and optimizing data pipelines and infrastructure, often working with cloud platforms and automation tools. Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles work with data, Dataops Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Dataops Engineer jobs in New York? The most popular types of Dataops Engineer jobs in New York are:
What cities in New York are hiring for Full Time Dataops Engineer jobs? Cities in New York with the most Full Time Dataops Engineer job openings:

Senior Data Ops Engineer

Fractal

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Senior Data Ops Engineer (Azure Databricks)
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Role Overview
We are hiring a Senior DataOps Engineer to drive enterprise DataOps capabilities, ensuring reliable, scalable, and production-ready data pipelines on Azure Databricks platforms. This role focuses on pipeline orchestration, CI/CD automation, monitoring, and data platform operations to support analytics and AI/ML workloads.
Key Responsibilities
  • Build and manage end-to-end data pipelines using Azure Databricks (PySpark, SQL)
  • Implement workflow orchestration (Airflow / ADF / Databricks Workflows)
  • Establish Data Ops practices: monitoring, alerting, and production support
  • Drive CI/CD pipelines and environment promotion (Dev → Prod)
  • Ensure data quality, lineage, and governance compliance
  • Manage incident resolution, RCA, and SLA adherence
  • Optimize pipeline performance, scalability, and cost
  • Data Ops function ensures consistent, reliable data delivery and operational stability across platforms

Required Skills
  • Azure Databricks (Mandatory) - PySpark, SQL
  • Azure Services - ADF, ADLS, Synapse
  • Data Orchestration - Airflow / ADF / Databricks Workflows
  • CI/CD Tools - Azure DevOps / GitHub / Git
  • Strong expertise in ETL/ELT pipelines, DataOps, and production support
  • Experience with data quality, monitoring, and observability frameworks

Preferred Skills
  • Experience with Snowflake / BigQuery / multi-cloud environments
  • Exposure to MLOps / AI data pipelines
  • Knowledge of Medallion Architecture (Bronze-Silver-Gold)

Domain Experience (Good to Have)
  • US Healthcare domain knowledge:
    • Claims, Member, Provider, Eligibility data
    • Familiarity with FHIR / HL7 / EMR data models

Experience: 10+ Years
Education: Bachelor's Degree (4-year) - Computer Science / Engineering / Related Field
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $130,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
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