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Data Engineer Ml Jobs (NOW HIRING)

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience * 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.

Qualysoft

Erwartungsmanagement Anforderungen Mehrjahrige Erfahrung als MLOps Engineer, ML Engineer oder Data ... Engineer Sehr gute Kenntnisse in Kubernetes-/OpenShift-basierten Umgebungen Erfahrung mit ML ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together. Qualifications : Required : • 4+ years in data engineering or a ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ... Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices. What It ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ... Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices. What It ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

... Data Engineer will design, build, and optimize scalable, secure data pipelines that power analytics and product platforms. For this role specifically, the focus will be on Machine Learning (ML) and ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... with ML-focused engineers. • Contribute to data governance, stewardship, privacy, and security best practices. • Build testing, monitoring, and alerting to ensure high data quality and early ...

UNAVAILABLE

AI Data Engineer

Frisco, TX · On-site

$150 - $200/hr

Applied analytics, including supervised and unsupervised ML, time-series forecasting, and anomaly ... data and business needs into actionable decisions for engineering, ML, and product teams. #J-18808 ...

Apple

Senior ML Data Engineer, MLO

Cupertino, CA · On-site

$68.75 - $91/hr

Minimum Qualifications 7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred) Bachelor's degree in Computer Science or related field Preferred ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Mandatory Skills: • 5+ years of relevant software/data engineering experience. • Oil and Gas Experience preferred • Python • SQL • Data Modeling • ETL/Data Pipeline Engineering • AI/ML ...

New

Cisive

Senior Engineer, Data and AI

$108K - $147K/yr

They will need the ability to independently develop AI/ML systems and products for both internal ... Data Engineering * Data Modeling: Discover and characterize source data systems, understand and ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power frontier ...

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Data Engineer Ml information

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$46K

$165K

$243.5K

How much do data engineer ml jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer ml in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

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

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

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Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

Chicago, IL • On-site

Prolaio
See more jobs at Prolaioexternal

$134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Who Are We?
Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.
This is precision cardiology, and we know it's within reach.
What Will You Do?
The Overview
We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You'll work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation. This role will report to the Lead Data Engineer. We would love to find someone in the Chicagoland area who can collaborate with the team in the office, but are also open to the right candidate in another location.
The Specifics
  • Data Lake Implementation: Develop, manage and operate data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
  • Automation and Scripting: Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
  • Data Pipeline Development: Use Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
  • Security and Compliance: Work inside a regulated SDLC. Ensure that all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
  • Collaboration: Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
  • Problem Solving: Tackle complex technical challenges and contribute to continuous improvement initiatives.

Why Prolaio?
  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that's never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.
  • Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.
  • Data Warehousing: Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse.
  • Orchestration: Experience with Dagster, Airflow, Prefect or a comparable orchestrator.
  • Programming Skills: Proficiency in Python and SQL for data manipulation and automation.
  • Data Lakes: Experience with implementing and managing data lakes.
  • Communication Skills: Strong problem-solving, communication, and collaboration abilities.

Additional Qualifications (Nice to Haves)
  • Integration Experience: Building ingestion for third-party or clinical data sources, such as electronic data capture systems.
  • Healthcare Experience: Previous experience in the healthcare or pharmaceutical industry.
  • PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures.

Why You'll Love Working Here
  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.

Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)

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