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Trainee Databricks Data Engineer Jobs in Buffalo, NY

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data #LI-AM3

AI Engineer

Buffalo, NY · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data * Experience leading technical ...

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data * Experience leading technical ...

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data * Experience leading technical ...

... Redshift, Databricks). * Comfort with Python for automation and light data engineering ... Experience with dashboards, BI tools, and self-serve analytics. * Clear communication ...

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data * Experience leading technical ...

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$110K - $133K/yr

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data * Experience leading technical ...

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on ... Experience designing evaluation frameworks for complex visual data #LI-AM3 Our Values Trust ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Buffalo, NY salary details

$43.1K

$125.7K

$171.9K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for trainee databricks data engineer in Buffalo, NY is $125,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,200.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Buffalo, NY?

The most popular types of Databricks Data Engineer jobs in Buffalo, NY are:

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Machine Learning Engineer III, Data

acv

Buffalo, NY

$110K - $133K/yr

Full-time

Re-posted 19 days ago


Job description

What you will do:

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.

This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

The core responsibilities of this role are:

  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
  • Perform additional duties as assigned.

Required Qualifications:

  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 3+ years of prior computer vision experience
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
  • Experience optimizing high-latency models for real-time inference
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:

  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
  • Experience designing evaluation frameworks for complex visual data

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