28 ml data engineer jobs at 19 companies in Wheeling, WV
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Lab37: Developing automated robotic systems for commercial food production.
2+ YOE2+ years in data engineering or ML infrastructure; experience with workflow orchestration (Argo/Airflow/Prefect), Python/pandas, SQL, dbt, BigQuery/Athena, Kubernetes, Docker, ML training pipelines, and Terraform; on-call participation.
Atoms: Building robotics and software to automate physical world industries.
2+ YOE2+ years data engineering or ML infra experience, workflow orchestration (Argo/Airflow/Prefect), Python/pandas/SQL, dbt, BigQuery/Athena/S3, Docker/Kubernetes, Terraform, ML training pipelines, on-call participation.
Boston or Indianapolis or Raleigh or Charlotte or Jacksonville or Chicago or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Los Angeles or Baltimore or Birmingham or St. Louis or Salt Lake City or San Diego or San Francisco or Silicon Valley or Seattle or Stamford or Tampa or Toledo or Austin or Washington or New York or Florham Park or Philadelphia or Phoenix or Pittsburgh or Houston
$77k-$202k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
4+ YOEBachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.
Databricks, dbt, Azure Databricks, Python, YAML, argparse, CI/CD, AI agent systems
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
5+ YOEMaster's degree in data science, computer science, engineering, or related field; 5+ years of data science/ML experience in industry with 2+ years NLP; strong math/stats; expert Python, PyTorch, Spark, SQL; ML deployment and big data/cloud experience.
Albany or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York or Cleveland or Oklahoma City or Austin or Chicago or St. Pete or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$54k-$196k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
2+ YOE2+ years in data engineering/analytics/ML with 2+ years practical Google Cloud experience; strong SQL, Python, data modeling and pipeline skills; client-facing communication; Bachelor's degree or equivalent experience.
Senior Vice President, AI / Machine Learning Data Engineer
New York City or Lake Mary or Pittsburgh
$120k-$240k/yrOnsiteFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
9+ YOEBachelor's in computer science or equivalent, 9+ years software development and applied AI/ML experience, ability to lead technical teams, strong communication and enterprise software architecture knowledge.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEBachelor in Computer Science, 8+ years experience in data/feature engineering or ML engineering; production feature pipelines, Python and SQL, Spark/Flink, cloud platforms; mentoring experience.
Toronto or San Francisco or Dallas or Pittsburgh or United States or Canada
$127k-$225k/yrHybridFull Time
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
4+ YOE4+ years of industry experience; Bachelor's in computer science/engineering/ML or related; proficient in Python; strong software engineering fundamentals; experienced with data pipelines; good communication; cloud orchestration knowledge.
Carnegie Mellon University: Global research university providing higher education and conducting scientific research.
5+ YOE5+ years in data governance/data management and AI ethics/policy; experience in federated environments, metadata management, data cataloging, and partnering with data engineering; strong strategic communication and stakeholder influence skills.
Boston or Pittsburgh or Las Vegas or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS/MS in CS/ML, strong Python, hands-on PyTorch (or TensorFlow/JAX), SQL, Pandas, NumPy, experience with large datasets and full ML lifecycle, version control and unit testing proficiency.
Covestro: Manufacturer of high-tech polymers and specialized chemical materials.
3+ YOEDesign, develop, and deploy production-ready AI/ML systems; 3+ years AI/ML engineering experience; experience with containerization, cloud, data pipelines, and Python.
KomatsuTokyo Stock Exchange: 6301: Manufactures and services construction, mining, and industrial heavy machinery.
Bachelor's or master's in CS/Data Science, experience developing in Snowflake, Palantir, Databricks and Azure, Python ML model development, CI/CD, and mentoring; travel <10%.
Westinghouse Electric Company: Provides nuclear energy technology, products, and services.
10+ YOELead international data engineering team; expertise in data architecture, data engineering, cloud platforms, and AI/ML architecture including MLOps; B.S. required, 10+ years experience; Azure certifications preferred.
WescoNYSE: WCC: Distributes electrical and industrial products and supply chain solutions.
12+ YOE12+ years in data architecture and engineering; experience building cloud data platforms (Azure/AWS/GCP), Databricks/Fabric, Python/SQL/Spark/Scala, ETL/ELT tools, Docker/Kubernetes, data modeling, API/event-driven design, and integrating AI/ML.
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
5+ YOEBachelor's degree required; 5+ years in QA/Quality Engineering or test automation; experience implementing AI/ML in QA, test automation (Selenium/Playwright/Cypress/UFT), API/backend testing, CI/CD integration, and programming in Python/Java/JavaScript/C#.