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Hire the Top 3% of Freelance DataOps Engineers

Hire vetted DataOps engineers on demand. Leading companies choose DataOps freelancers from Toptal for their most important development projects.

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Find and hire Top DataOps Engineers worldwide. Simply click on your preferred time zone on the map.

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Randall Vaughn Shane

Freelance DataOps Engineer
UTC-06:00
United States
Toptal Member Since October 22, 2025

Randall is an AI systems architect with 30+ years building enterprise-grade data and intelligence systems across healthcare, finance, retail, and defense. He designs production agentic AI—tool-using agents, MCP-based orchestration, and RAG over knowledge graphs—on cloud-native data foundations (AWS, Databricks, S3 lakehouse with Parquet/Iceberg). He pairs deep data engineering and governance (ownership, security, lineage, FHIR/HL7) with explainable GenAI built for regulated environments.

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Craig Harsip

Freelance DataOps Engineer
UTC-05:00
United States
Toptal Member Since May 17, 2021

Craig is a senior data platform architect with deep expertise in AWS, Python, and production-scale ETL/ML pipelines. He architects and builds serverless and containerized architectures, designs reusable data frameworks, and modernizes legacy workloads. He is recognized for his clear communication, strong execution, and ability to deliver scalable and maintainable solutions.

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Krishna Inapurapu

Freelance DataOps Engineer
UTC-05:00
Canada
Toptal Member Since November 15, 2024

With 15+ years of experience in the banking and automobile industries, Krishna specializes in designing and delivering enterprise-grade solutions using Java, Spring, and Azure data engineering. His expertise lies in architecting scalable, secure, and high-performance data infrastructures that drive innovation and operational efficiency in complex, regulated environments. Krishna excels in leveraging technology to solve challenging problems and enhance business outcomes.

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Himanshu Thappa

Freelance DataOps Engineer
UTC+00:00
Finland
Toptal Member Since March 24, 2025

Himanshu is a goal-oriented data and cloud advisor with over 17 years of experience in data engineering, analytics, and artificial intelligence. He excels in crafting enterprise data solutions in the energy, telecom, fintech, and public sectors. Himanshu has spearheaded the development of a customer data platform (CDP) on Azure Databricks and Oracle Analytics Cloud, and he has strong database and reporting skills.

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Davide Moraschi

Freelance DataOps Engineer
UTC+01:00
Spain
Toptal Member Since September 25, 2016

Davide is a Claude Certified Architect, a data engineer certified in Microsoft Azure and AWS, and an experienced data architect. He is the author of *Business Intelligence with MicroStrategy Cookbook*. With a career spanning two decades in data warehousing and working with relational and NoSQL databases, Davide has focused on loading, transforming, and visualizing large volumes of data. More recently, he has been working on cloud big data projects with Fortune 500 clients.

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Ozan Özyüksel

Freelance DataOps Engineer
UTC+01:00
Germany
Toptal Member Since November 12, 2025

Ozan is a data analytics manager with 15+ years of experience delivering business impact through data engineering, analytics, and visualization. He is skilled in executing data strategies and leading cross-functional teams to build scalable data solutions, optimize ETL pipelines, and design actionable dashboards. An expert in AWS Redshift, Tableau, SQL, Python, Oracle, and other technologies, Ozan transforms complex data into insights that drive strategic decision-making.

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Alexander Sokolov

Freelance DataOps Engineer
UTC+02:00
Romania
Toptal Member Since November 4, 2024

Alex is a technology evangelist and entrepreneur specializing in data engineering, analytics, cloud computing, and DevOps. With extensive experience in building engineering teams and hands-on solution architecture, he excels in Modern Data Stack (MDS) implementations, MLOps pipelines, and cloud-native architectures using Kubernetes. Alex's expertise spans optimizing data workflows and cloud infrastructure for diverse clients, combining technical proficiency with strategic vision.

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Denis Arkhipov

Freelance DataOps Engineer
UTC+04:00
United Arab Emirates
Toptal Member Since March 17, 2026

Denis is a data, analytics, and software engineer with 10+ years of experience across data engineering, full-stack development, BI analytics, cloud infrastructure, and applied AI and machine learning. He designs and operates large-scale data pipelines, streaming architectures, and lakehouse platforms across multiple cloud providers. His work spans the full data lifecycle, from ingestion and transformation to BI dashboarding, data quality, DataOps, and AI and machine learning-powered analytics.

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Allen Philip Abraham

Freelance DataOps Engineer
UTC+04:00
United Arab Emirates
Toptal Member Since July 7, 2026

Allen is a certified data management and analytics consultant with over 16 years of experience driving measurable business value. From earning a NAJM award for boosting Emirates' warehouse performance by 35% to increasing edtech engagement at Taaleem by 97%, Allen excels at transforming complex data into clear, actionable stories. A TOGAF-certified expert proficient in SQL, Power BI, and Python, he bridges technical depth with strategic vision to solve critical business problems.

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Ramachandran Balasubrahmanian

Freelance DataOps Engineer
UTC+05:00
India
Toptal Member Since July 3, 2026

Ramachandran is a director with over 15 years of experience in data governance, data platforms, and technology controls. At Fair Isaac Corporation (FICO), he led enterprise data technology control governance for 50+ financial services clients, cutting incidents by 95% and protecting 232+ million records per cycle. His expertise spans data management and end-to-end ownership of enterprise data platforms for regulated financial services.

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Nima Zolghadr

Freelance DataOps Engineer
UTC+10:00
Australia
Toptal Member Since September 3, 2026

Nima has spent 13 years building enterprise data platforms across financial services, insurance, energy, and government sectors. His toolkit centers on Databricks, PySpark, and Azure for large-scale data engineering. While at Bupa, Nima delivered Databricks Lakehouse pipelines serving over 500 million records and led urgent data integrity restorations under tight deadlines.

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Toptal in the press

... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

Our clients
Creating an app for the game
Conor Kenney
Creating an app for the game
Leading a digital transformation
Elmar Platzer
Leading a digital transformation
Building a cross-platform app to be used worldwide
Building a cross-platform app to be used worldwide
Drilling into real-time data creates an industry game changer
Drilling into real-time data creates an industry game changer
Testimonials

How to Hire DataOps Experts Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right DataOps engineer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new DataOps expert for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of DataOps Engineers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire DataOps engineers with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your DataOps expert, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right DataOps engineer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect DataOps engineers for your project.

  • At Toptal, we thoroughly screen our DataOps experts to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire DataOps engineers with Toptal, you’ll always work with world-class, custom-matched DataOps engineers ready to help you achieve your goals.

  • You can hire DataOps experts on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a DataOps engineer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our DataOps engineers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your DataOps engineer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another DataOps engineer who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top DataOps Engineers Are in High Demand.

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