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Senior Databricks Data Engineer Jobs in Buffalo, NY

Job Title: Data Management, Senior Location: Hybrid/Buffalo, NY (3 days onsite/2 days remote ... Do you possess exp. w/ at least one programing language or analytical/statistical tools? * Do you ...

Job Title: Data Management, Senior Location: Hybrid/Buffalo, NY (3 days onsite/2 days remote ... Do you possess exp. w/ at least one programing language or analytical/statistical tools? * Do you ...

Senior Software Engineer I

Boston, NY · On-site

$115K - $152K/yr

This domain spans from MLS and data ingestion to highly responsive consumer and agent facing search ... Spark/Databricks) and developing advanced search capabilities to drive the Compass search ...

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

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

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

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

AI Engineer

Buffalo, NY

$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 ...

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 ...

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 ...

Senior UI/Frontend Engineer (AI)

Boston, NY · On-site

$123K - $153K/yr

Bonus Points * Experience building data-heavy dashboards or real-time web applications ... Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave). * Funding ...

Showing results 21-40

Senior Databricks Data Engineer information

See Buffalo, NY salary details

$57.6K

$122.6K

$177.8K

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

As of Sep 6, 2026, the average yearly pay for senior databricks data engineer in Buffalo, NY is $122,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

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:

What are popular job titles related to Senior Databricks Data Engineer jobs in Buffalo, NY?

For Senior Databricks Data Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Buffalo, NY look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Senior Databricks Data Engineer jobs?

Cities near Buffalo, NY with the most Senior Databricks Data Engineer job openings:

Infographic showing various Senior Databricks Data Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,591 per year, or $58.9 per hour.

Senior AI Engineer - Agentic Solutions & Digital Thread

Moog Inc

East Aurora, NY • On-site

$135 - $155/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Key responsibilities

  • Design and implement agentic software architectures with AI agents for code generation, test automation, and documentation under human oversight.

  • Build agent workflows that incorporate rules management, auditability, deterministic logic, and reusability, utilizing MDM and data quality platforms.

  • Design and implement advanced Retrieval-Augmented Generation (RAG) architectures grounded in enterprise data, including maintaining vector stores and embedding pipelines.


Moog Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

251st of 499 rated machine equipment manufacturers


Job description

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Details
  • Job Title: Senior AI Engineer - Agentic Solutions & Digital Thread
  • Reporting To: Management, IT Applications Development
  • Work Schedule: Hybrid - Buffalo, NY

Moog's Corporate Group is looking for a Senior AI Engineer - Agentic Solutions & Digital Thread to join our Team! The Senior AI Engineer - Agentic Solutions & Digital Thread is an experienced technologist who designs, builds, operates, and continuously improves enterprise AI-enabled applications. This role emphasizes agentic architectures, advanced Retrieval-Augmented Generation (RAG), and intelligent automation within a complex, multi-site aerospace and defense manufacturing environment subject to ITAR/EAR, CMMC/DFARS, and rigorous quality standards. The role serves as the lead developer for assigned AI and agentic solution use cases, translating business requirements into scalable, auditable, and explainable implementations aligned to enterprise Digital Thread, Master Data Management (MDM), Intelligent Automation and Smart Factory initiatives. This role applies advanced knowledge acquired through relevant and substantial work experience. As the lead developer, this role is also comfortable experimenting with new techniques and coaching other development staff on AI-assisted and Agentic software delivery practices. This role assists others with more complex problems and designs elegant solutions to tackle them.

Qualifications
  • Typically, a bachelor's degree in computer science, Software Engineering, AI/ML, or equivalent experience.
  • 8+ years of professional software development, with 3+ years focused on AI/ML solution development.
  • Hands-on experience with agentic AI frameworks (Semantic Kernel, AutoGen, LangChain/LangGraph, CrewAI, or equivalent), MCP (Model Context Protocol), multi-agent orchestration, and secure tool integration patterns.
  • Demonstrated experience designing and implementing advanced RAG architectures, including vector databases, embedding models, retrieval strategies, and Context Engineering techniques to ground AI responses in enterprise knowledge.
  • Strong communication and collaboration skills with technical and non-technical stakeholders.
  • Proficiency in Python and at least one additional language (C#, .NET, or TypeScript).
  • Strong experience with Microsoft Azure services and cloud-native architectures.
  • Experience with CI/CD pipelines, Infrastructure as Code, automated testing, and Agile/DevOps delivery.
  • Experience with Databricks, lakehouse architectures, and enterprise data integration patterns.
  • Experience with event-driven architectures and integration platforms (Azure Service Bus, Event Grid, Kafka).
  • Exposure to MDM, data governance, data quality frameworks, or rules-based systems.
  • Exposure to digital thread concepts in manufacturing, including PLM (Teamcenter), ERP (SAP), MES, and QMS integration.
  • Experience in aerospace, defense, or regulated manufacturing environments (ITAR, EAR, CMMC, DFARS).
  • Familiarity with AI governance frameworks (e.g., NIST AI RMF) and responsible AI practices.
  • Azure certifications (Azure AI Engineer, Azure Solutions Architect) are a plus.
Responsibilities
  • Design and implement agentic software architectures where AI agents perform code generation, test automation, and documentation, always under human oversight with deterministic guardrails and clear accountability boundaries.
  • Build agent workflows that exercise rules management, auditability, deterministic logic, high trust thresholds, and reusability across domains, using MDM and data quality platforms as foundational workloads, with fallback-to-human protocols for safety-critical decisions.
  • Design and implement advanced RAG architectures that ground AI responses in authoritative enterprise data.
  • Build and maintain vector stores, embedding pipelines, and hybrid retrieval strategies optimized for domain-specific technical content.
  • Enforce data classification, export control boundaries, and role-based access controls.
  • Develop event-driven integrations aligned to digital thread principles.
  • Build AI-enabled capabilities that consume digital thread events to automate downstream decision-making and exception detection.
  • Implement thread contracts to ensure deterministic, auditable system behavior that eliminates manual reconciliation.
  • Design and maintain AI-enabled applications using Python, C#/.NET on Microsoft Azure, leveraging Azure OpenAI, Claude, Azure AI Search, Databricks, and agent frameworks (Semantic Kernel, AutoGen, LangChain, or equivalent).
  • Implement CI/CD pipelines, Infrastructure as Code, automated testing, monitoring, telemetry, and operational runbooks for production-grade reliability.
  • Implement rule-level execution logs, record-level lineage, match/merge traceability, and interface health dashboards with explainability layers for state changes and agent decisions.
  • Ensure embedded governance-by-design and compliance with ITAR/EAR, CMMC/DFARS, and CUI handling requirements.
  • Collaborate with product owners, enterprise architects, data teams, and business stakeholders.
  • Coach and review the work of junior developers.
How We Care for You
  • Financial Rewards: great compensation package, annual profit sharing, matching 401k, and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts.
  • Work/Life Balance: Flexible paid time off, holidays and parental leave program.
  • Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan ("EAP") and other supplemental benefit coverages.
  • Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs.
  • Diverse and Inclusive Workplace: Employee Resource Groups, cultural events, and celebrations.
Salary Range Transparency
  • Buffalo, NY $135,000.00-$155,000.00 Annually
  • Disclaimer: The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.
Equal Opportunity

EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran Moog offers an exclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic.

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About Moog

Sourced by ZipRecruiter

Founded in 1951 with the invention of the servo valve by Bill Moog, a breakthrough in motion control systems, Moog Inc. (NYSE: MOG.A and MOG.B) has evolved into a global leader in motion control parts and systems. Headquartered in East Aurora, NY, we serve customers in over 90 countries, with operations spanning more than 27 countries and a dedicated workforce of nearly 13,000 professionals. Our organization comprises three operating groups: Aircraft, Industrial, and Space and Defense. Our high-performance systems drive military and commercial aircraft, satellites, launch vehicles, missiles, industrial machinery, marine, and medical equipment. At Moog, our focus lies in crafting high-performance solutions to solve the most challenging technical problems for our customers. Beyond technical prowess, Moog fosters a performance culture empowering employees to achieve greatness. Our team thrives on tackling engaging technical challenges within a culture of trust, offering rewarding job experiences and a fulfilling work-life balance.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

East Aurora, NY, US

Year founded

1951

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