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Senior Data Engineer

Delaware North
Full-time
On-site
Buffalo, New York, United States
Senior Jobs

Overview

Delaware North is hiring a full-time Senior Data Engineer to join our team in Buffalo, New York. As a Senior Data Engineer, you will be responsible for collecting raw data from our various systems, transforming that data into canonical models, and enhancing the data to provide trusted datasets to our consumers. If you are passionate about innovating data solutions, driving technological change, and seeking professional growth opportunities, apply now to join our team. 

Additional Details

At Delaware North, we care about our team members' personal and professional journeys. These are just some of the benefits we offer: 

  • Medical, dental, and vision insurance
  • 401(k) with up to 4% company match 
  • Annual performance bonus based on level, as well as individual, company, and location performance
  • Paid vacation days and holidays
  • Paid parental bonding leave
  • Tuition and/or professional certification reimbursement
  • Generous friends-and-family discounts at many of our hotels and resorts

Responsibilities

  • Design and implement project-based solutions, ensuring seamless integration and optimal performance 
  • Implement data platform improvements, new features, and assist the support team with resolving bug fixes 
  • Interface with clients, vendors, and internal users to understand and optimize data usage, while providing analysis and recommendations 
  • Participate in group design and architecture sessions, and develop integration tests to validate solutions 
  • Author documentation for standard operating procedures, and provide mentorship for consulting resources, both onshore and offshore 

Qualifications

  • Extensive experience in End-to-End Agile Development Lifecycle, including technical specification and use case documentation like UML and ER Modeling 
  • Proficiency in SQL and query writing, with experience designing and developing solutions in modern programming languages such as Python 
  • Expertise in Databricks and Spark
  • Expertise with RESTful Web Services and data persistence methods, including NoSQL and RDBMS including MSSQL, Oracle, MySQL, and MongoDB 
  • Strong knowledge of data structures and formats like JSON, XML, and Parquet, and familiarity with data mapping and transformation techniques 
  • Significant experience in cloud computing, particularly AWS, focusing on event-based serverless architecture 
  • Experience handling large data sets and high-performance computing, with a focus on data integration projects and aligning data from disparate sources 
  • Proficiency with Unix and Linux, and experience in CI and CD best practices, including integration testing and automation using platforms like Jenkins, TeamCity, or Bamboo 
  • Additional skills in the Hadoop ecosystem, machine learning, and AI are advantageous, as well as the ability to effectively triage and track issues to resolution