Compensation: $60,406 - $76,800 / year
The opportunityDelaware North is hiring a full-time Data Engineer to join our team in Buffalo, New York. As a Data Engineer, you will be responsible for assisting in the design, development, and support of new data and analytical solutions in the companys data platform. If youare passionate about leveraging data to drive insights and innovation, and have expertise in building and optimizing data pipelines, we invite you to apply today!
PayMinimum – Anticipated Maximum Base Salary: $60,406 – $76,800 / 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/>https://careers.delawarenorth.com/benefits/
. What we offerAt 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 scalable, efficient data solutions and pipelines in Databricks and Airflow using PySpark to support analytics needs. Enhance the data platform by developing new features, optimizing costs, and resolving bug fixes to ensure seamless operations. Collaborate with clients, vendors, and internal users to understand data requirements and provide technical support as needed. Participate in design and architecture sessions, develop integration tests to validate solutions, and document standard operating procedures and knowledge More about you Bachelors degree in computer science, information systems, or similar a STEM field preferred Minimum of 2 years of experience developing data pipeline processes Extensive experience in end-to-end agile development, including data integration methodologies like RESTful web services, web hooks, and data streams, as well as aligning data from disparate sources with varying granularity Proficient in SQL, query writing, schema design, and modern programming languages such as Python and Spark, with knowledge of data persistence methods including NoSQL and RDBMS Skilled in working with data structures and formats such asJSON, XML, and Parquet, cloud computing in event-based serverless architecture, and Unix or Linux environments Familiarity with CI/CD best practices, integration testing, automation using CI platforms like GitLab, and data mapping and transformation techniques with a strong ability to triage and resolve issues Shift detailsMonday to Friday
Evenings as needed