ZipRecruiter

Log In

1

Mlops Data Engineer Jobs in Frederick, MD (NOW HIRING)

Forterra

Staff Data Engineer

Clarksburg, MD · On-site

$145 - $175/hr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... Understanding of MLOps and experience with implementation of AI/ML technologies. Preferred ...

Sunayu, LLC

Contingent AI Engineer - Top Secret

Rockville, MD · On-site

$116K - $140K/yr

Category: Data Scientist Travel Required:No Remote Type: Hybrid **Position is contingent upon ... LLMOps / MLOps * RAG architectures * AI orchestration frameworks * Kubernetes-based AI deployments

Axle

Director of Data Solutions

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... ETL/ELT, data quality tooling, MLOps/LLMOps concepts). * Ability to translate ambiguous ...

Axle

Director of Data Solutions

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... ETL/ELT, data quality tooling, MLOps/LLMOps concepts). * Ability to translate ambiguous ...

Axle

Director of Data Solutions

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... ETL/ELT, data quality tooling, MLOps/LLMOps concepts). * Ability to translate ambiguous ...

Leidos

Senior AI Engineer

Rockville, MD · On-site

$131K - $237K/yr

This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ... LLMOps / MLOps * RAG architectures * AI orchestration frameworks * Kubernetes-based AI deployments

Axle

Associate Director of AI and Data

Rockville, MD

Sitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the ... MLOps & DevOps: Strong knowledge of containerization (Docker, Kubernetes), CI/CD pipelines (GitHub ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Sitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the ... MLOps & DevOps: Strong knowledge of containerization (Docker, Kubernetes), CI/CD pipelines (GitHub ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

Sitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the ... MLOps & DevOps: Strong knowledge of containerization (Docker, Kubernetes), CI/CD pipelines (GitHub ...

Leidos

Senior AI Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ... LLMOps / MLOps * RAG architectures * AI orchestration frameworks * Kubernetes-based AI deployments

Axle

Site Reliability Engineer

Frederick, MD · On-site

$56.75 - $75.25/hr

Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data ...

Axle

Site Reliability Engineer

Frederick, MD · Hybrid

$56.75 - $75.25/hr

Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data ...

Axle

Site Reliability Engineer

Frederick, MD · Hybrid

$56.75 - $75.25/hr

Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data ...

Axle

Director of Data Solutions

Rockville, MD · On-site

Required : • 6+ years in data science, ML engineering, data platform engineering, applied ... MLOps/LLMOps concepts). • Ability to translate ambiguous stakeholder needs into shipped products ...

next page

Showing results 1-20

All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Frederick, MD

Mlops Data Engineer information

See Frederick, MD salary details

$44.2K

$129K

$176.5K

How much do mlops data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mlops data engineer in Frederick, MD is $128,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 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 Frederick, MD?

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

What job categories do people searching Mlops Data Engineer jobs in Frederick, MD look for?

The top searched job categories for Mlops Data Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Mlops Data Engineer jobs?

Cities near Frederick, MD with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,973 per year, or $62 per hour.

Staff Data Engineer

Forterra

Clarksburg, MD • On-site

$145 - $175/hr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago

Job description

About Forterra

Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.

About the role
  • The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform. In this role, you will be instrumental in building the data foundation that enables insights for developing a best-in-class ecosystem of autonomy products
What you'll do
  • Build and orchestrate pipelines for ingestion and transformation of data collected from Forterra's vehicles and internal systems.
  • Design, build, and maintain our enterprise data warehouse on Snowflake, ensuring optimal performance, cost‑efficiency, and scalability.
  • Gather requirements from both technical and non‑technical stakeholders to deliver end‑to‑end data products.
  • Support user and role provisioning, implement RBAC policies, support audits and conduct user access reviews.
  • Establish data modeling standards and data governance frameworks, creating dimension and fact tables that serve analytics, machine learning, and reporting use cases.
  • Implement data quality monitoring, anomaly detection, tests, and alerting. Document definitions, metrics, and KPIs and assist in the development of a data dictionary.
Qualifications
  • 6+ years of hands‑on experience in data engineering, data warehousing, or analytics engineering roles.
  • Expert SQL knowledge and Python proficiency.
  • Experience with the modern data warehouses (Snowflake, Redshift, BigQuery, etc), data transformation, and orchestration tools (dbt, Airflow, Dagster, Prefect).
  • Experience with cloud infrastructure.
  • Understanding of software engineering best practices including version control, CI/CD pipelines, code review processes, and infrastructure‑as‑code.
  • Understanding of MLOps and experience with implementation of AI/ML technologies.
Preferred Qualifications
  • Experience working with unstructured data.
  • Experience working with GovCloud and FedRamp.
Education & Experience
  • Bachelor's Degree STEM field or related degree.
Salary Range

US Salary Range: $145,000.00 — $175,000.00

The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full‑time, high‑demand roles and is therefore considered part of Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full‑time employees including:

Benefits
  • Premium Healthcare Benefits: Three plan options, including an HSA‑eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
  • Basic Life/AD&D, short and long‑term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
  • Extremely generous company holiday calendar including a winter break in December.
  • Competitive paid time off (PTO) offering 20 days accrued per year.
  • A minimum of 7 weeks fully paid parental leave for birth/adoption.
  • A $9k annual tuition reimbursement or professional development stipend.
  • Fully stocked beverage refrigerators with all the Celsius your little heart desires.
  • 401(k) retirement savings plan, including traditional, Roth 401(k), and after‑tax deferral with company match up to 4%.

Your recruiter will be able to share more information about our salary and benefits offering during the hiring process.

Forterra is an equal‑opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment.

#J-18808-Ljbffr

Apply