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Mlops Data Engineer Jobs in Dallas, TX (NOW HIRING)

Syntricate Technologies

Data Engineer/MLOps

Irving, TX · On-site

$106K - $127K/yr

Syntricate Technologies is seeking a Data Engineer with expertise in MLOps. The role involves building data pipelines and working with various tools in the Hadoop ecosystem, as well as collaborating ...

Syntricate Technologies

Data Engineer with MLOps

Irving, TX · On-site

$106K - $127K/yr

Job Summary : Syntricate Technologies is seeking a Data Engineer with MLOps expertise based in Irving, TX. The role involves building data pipelines, working with various data tools, and ...

Inficare Technologies

Lead Data Engineer

Lake Dallas, TX · On-site

$111K - $133K/yr

Azure Data Factory, Talend, or Python-based ETL frameworks * DevOps, CI/CD, Infrastructure-as-Code, MLOps practices * Jira, Azure DevOps, GitHub * Insurance, insurtech, healthcare, or financial ...

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

MLOps Engineer Location: Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key ... data ingestion, model training, validation, deployment, monitoring, and retraining Build and ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role Overview: Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing ...

KAPI LLC

Be Seen First

Senior MLOps Engineer - Snowflake

Dallas, TX · On-site

$100K - $130K/yr

This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers ... Design, build, and maintain enterprise-grade MLOps platforms and pipelines. * Operationalize ...

KAPI LLC

Senior MLOps Engineer - Snowflake

Addison, TX · On-site

$101K - $138K/yr

This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers ... Design, build, and maintain enterprise-grade MLOps platforms and pipelines. * Operationalize ...

USM

JB061761 - MLOps Engineer

Grapevine, TX · On-site

$80/hr

Key Responsibilities MLOps Lifecycle Ownership Own the full ML lifecycle: data ingestion, model ... Engineering Design and operate end-to-end ML pipelines (data → training → evaluation → ...

Orion180

Sr. Data Engineer

Irving, TX · On-site

$109K - $132K/yr

We are actively recruiting for a Sr. Data Engineer to join our growing team! We believe analytics ... Collaborate with data scientists to productionalize ML feature pipelines and support MLOps ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

Essilor

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Dallas, TX

Mlops Data Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do mlops data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mlops data engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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.

What are popular job titles related to Mlops Data Engineer jobs in Dallas, TX?

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

What job categories do people searching Mlops Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Mlops Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Mlops Data Engineer jobs?

Cities near Dallas, TX with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data Engineer/MLOps

Syntricate Technologies

Irving, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Data Engineer with expertise in MLOps. The role involves building data pipelines and working with various tools in the Hadoop ecosystem, as well as collaborating within a scrum team.
Responsibilities:
• Minimum 5 years of work experience in building data pipelines using Python, PySpark, DJango.
• Hands-On experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data.
• Hands-on experience with at least one of the tools the Hadoop eco-system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).
• Working experience on Relational/Non-relational databases and familiarity with data model concepts
• Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies
• Working knowledge of Unix/Linux.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)
Qualifications:
Required:
• Minimum 5 years of work experience in building data pipelines using Python, PySpark, DJango.
• Hands-On experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data.
• Hands-on experience with at least one of the tools the Hadoop eco-system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).
• Working experience on Relational/Non-relational databases and familiarity with data model concepts.
• Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies.
• Working knowledge of Unix/Linux.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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