ZipRecruiter

Log In

1

Mlops Data Engineer Jobs (NOW HIRING)

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Exposure to DataOps or MLOps practices is a plus. * Azure Data Engineer or related Microsoft certification preferred.

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices * Strong ...

FountAI, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We're looking for a mid-to-senior Data Engineer to build the data systems that power our AI agents ... Familiarity with MLOps practices and tools (MLflow, SageMaker, etc.). #J-18808-Ljbffr

Accenture Federal Services

Data Engineer

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... ML Integration / MLOps : Support the implementation, deployment, and scaling of machine learning ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... ML Integration / MLOps : Support the implementation, deployment, and scaling of machine learning ...

Apple Inc.

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Master's degree in computer science, data engineering, or a related field * 5+ years of experience ... Familiarity with machine learning workflows and machine learning operations (MLOps) practices

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

SOSi

Data Engineer- SME

Huntsville, AL · On-site

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

SumerSports LLC

Data Engineer

$160K - $190K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... You'll collaborate closely with our MLOps , and Sports Data teams to ensure seamless integration ...

Profound

Data Engineer

Manhattan, NY · On-site

$140K - $260K/yr

Support MLOps as machine learning models are developed and productionized * Be on call for critical ... Collaborate with data scientists, product managers, and engineers to launch new data products Who ...

Apple

Senior Product Manager - Apple Cloud AI/ML

Cupertino, CA · On-site

$156K - $206K/yr

The ideal candidate has a strong understanding of and experience in machine learning, ML tools, MLOps, data engineering, ML infrastructure and data platforms. Description We are building AI/ML tools ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ... to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility. * Break down technical work into manageable tasks ...

previous page

Showing results 41-60

All JobsMlops Data Engineer Jobs

Mlops Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do mlops data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for mlops data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.
More about Mlops Data Engineer jobs

What cities are hiring for Mlops Data Engineer jobs?

Cities with the most Mlops Data Engineer job openings:

What states have the most Mlops Data Engineer jobs?

States with the most job openings for Mlops Data Engineer jobs include:

What are popular job titles related to Mlops Data Engineer jobs?

For Mlops Data Engineer jobs, the most frequently searched job titles are:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer II - MLOps Engineer

Hartford, CT

The Whiteside Agency
See more jobs at The Whiteside Agencyexternal

$126K - $208K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category
Data Analytics, Data Science, TechnologyCompensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$126,500.00 - $208,700.00
Target Openings
1
What Is the Opportunity?
As a Data Engineer II on this team, you turn ML from a promising notebook into a reliable product. You work in Databricks every day, shaping real workloads: taking messy experiments and turning them into clean, repeatable jobs and workflows, and wiring MLflow so every run is traceable. You own the path that makes models visible and operable from day one by instrumenting pipelines with observability events and standing up the APIs and scripts that keep the model inventory and governance picture complete. You sit with data scientists and engineers in the same repo, pair on jobs that matter to the business, and turn the patterns you discover into lightweight libraries, templates, and Backstage views that other teams adopt because they save time. If you like shipping code that many teams depend on, making complex systems feel simple, and being the person who can tell anyone "what is running, where, and how it is doing," this role gives you that kind of impact.What Will You Do?
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
  • Test data movement, transformation code, and data components.
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Bachelor's Degree in STEM related field or equivalent.
  • Eight years of related experience.
  • Build, deploy, and support ML pipelines in a modern MLOps environment, partnering closely with data scientists using classic ML techniques (GBMs, linear models) and GenAI-based solutions.
  • Apply strong software engineering and DevOps practices (CI/CD, monitoring, reliability) to data and ML workflows, working comfortably across both data engineering and application engineering domains
  • Develop robust data solutions using Python, SQL, and Databricks; experience with EKS (or other Kubernetes-based platforms) for scalable data/ML workloads is a strong plus.
  • Leverage experience in financial services or other regulated industries to quickly understand business context and deliver production-grade ML and data solutions with minimal hand-holding.
  • Collaborate with teams adopting GenAI tools (e.g., Claude) and traditional ML, acting as a power user and enabler rather than a pure researcher, with a focus on stability, performance, and operational excellence.
  • Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.
  • The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
  • Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.
  • Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.
  • Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.
  • Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts.
What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 4 additional years of data engineering experience.
What Is in It for You?
  • Health Insurance:Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement:Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off:Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program:The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement:We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

Apply