Pay

Minimum – Anticipated Maximum Base Salary: $68,800 – $92,900 / year

In addition to base salary, we offer an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. The advertised pay range represents what we believe at the time of this job posting, that we would be willing to pay for this position. Only in special circumstances, where a candidate has education, training, or experience that far exceeds the requirements for the position, would we consider paying higher than the stated range. Information on our comprehensive benefits package can be found at https://careers.delawarenorth.com/benefits/.

What we offer

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

What will you do?

• Design and implement project-based solutions.
• Implement data platform improvements and new features.
• Assist the support team with the resolution of data platform bug fixes.
• Interface with clients, vendors, and internal users of the data platform on understanding the data.
• Participate in group design and architecture sessions.
• Author documentation for standard operating procedures, knowledge base articles, etc.
• Develop integration tests to validate solutions.
• Analyze data and make recommendations to optimize current business operations.

More about you

• Bachelor’s degree or equivalent from an accredited college or university in Computer Science, Information Systems, or similar STEM field preferred.
• 2+ years’ of experience developing data pipeline (ETL) processes
• Extensive experience in SQL, query writing, and schema design
• Experience designing and developing solutions with a modern programming language such as Python and Spark
• Experience with Spark & columnar data formats (Delta/Iceberg)
• Experience with data orchestration tools such as Airflow
• Experience with data analytics platforms such as Databricks
• Experience with data integration methodologies such as RESTful Web Services, web hooks, and data streams
• Experience with Data Persistence Methods such as NoSQL and RDBMS (MSSQL, Oracle, MySQL, MongoDB)
• Cloud computing experience, AWS preferred
• Extensive experience with handling large data sets, high performance computing, building high performance solutions and data integration projects
• Proficiency with Unix/Linux
• Familiarity with data modeling and transformation techniques
• Ability to effectively triage and track issues through to resolution

Shift details

Days