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Mlops Data Engineer Jobs (NOW HIRING)

i3

Principal Data Scientist

Washington, DC · On-site

AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake • MLOps & Data Viz: Docker, Kubernetes, MLflow ... Data Engineer Associate o AWS Machine Learning Engineer Associate o AWS AI Practitioner ...

i3

Principal Data Scientist

Washington, DC · On-site

AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake MLOps & Data Viz: Docker, Kubernetes, MLflow ... Data Engineer Associate o AWS Machine Learning Engineer Associate o AWS AI Practitioner ...

New

Qualis1 Inc

Data Engineer : Hybrid Role

Washington, DC · On-site

$129K - $155K/yr

Role: Data Engineer Location: Washington, DC, (Hybrid) Duration: 6+ months Description ... Experience working with cloud databases such as AlloyDB, CloudSQL, Big Query Experience with MLOps ...

NVIDIA Corporation

$184 - $357/hr

JR2022618Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...

NVIDIA Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$184 - $357/hr

JR2022618Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...

Nvidia

Senior MLOps Engineer

Santa Clara, CA

$122K - $168K/yr

Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...

Nvidia Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...

The Hartford

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

CURE Auto Insurance

Data Engineer

Princeton, NJ · On-site

$100K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey ... Exposure to MLOps/data needs for fraud detection, pricing, or claims severity models is a plus.

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow * Builds and maintains CI/CD pipelines for both data engineering and machine ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow * Builds and maintains CI/CD pipelines for both data engineering and machine ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow * Builds and maintains CI/CD pipelines for both data engineering and machine ...

The Hartford

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

The Hartford

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

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 ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for ... ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow ...

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Showing results 21-40

All JobsMlops Data Engineer Jobs

Mlops Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do mlops data engineer jobs pay per year?

As of Aug 21, 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.
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What states have the most Mlops Data Engineer jobs?

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Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Principal Data Scientist

i3

Washington, DC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Principal Data Scientist with 10+ years of experience in IT systems
US Citizenship is REQUIRED
This is a five month assignment
Must be experienced in leading AI strategy and machine learning development, preferably with experience with fusing commercially available data with agency data to enhance predictive analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high-performing teams to deliver innovative AI systems. Expert in translating complex business problems into revenue-generating, data-driven solutions.
CORE COMPETENCIES • Languages: Python, R, SQL, Scala, C++ • Machine Learning: Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning • Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake • MLOps & Data Viz: Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI
EDUCATION
• Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science (Machine Learning Focus)
•Relevant AWS or Microsoft certifications (Examples below)
o AWS Data Engineer Associate
o AWS Machine Learning Engineer Associate
o AWS AI Practitioner Foundational
o AWS Machine Learning Specialty
o Azure Cosmos DB Developer Specialty
o Azure Data Engineer Associate
o Azure Data Fundamentals
o Azure Database Administrator Associate
o Fabric Analytics Engineer Associate
o PowerBI Data Analyst Associate
o Azure AI Engineer Associate
o Azure AI Fundamentals
o Azure Data Scientist Associate
o Dynamics 365 Customer Insights (Data) Specialty
o Oracle Data Integrator o Oracle Certified Associate
o Oracle Certified Professional
o Python (Entry Level / Associate / Professional)

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