Overview
Delaware North is hiring a Data Engineering Manager to join our team in Buffalo, New York. As a Data Engineering Manager, you will be responsible for overseeing the data engineering team and guiding in the development and maintenance of the company's data infrastructure and systems. If you like to innovate, enact change, and seek growth opportunities, apply now to join our team.
Must be legally authorized to work in the US without sponsorship.
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
- Set clear team goals and KPIs aligned with business objectives, conduct performance reviews, and foster professional development
- Prioritize and manage data engineering projects to meet business needs and deadlines, overseeing the design, development, and maintenance of scalable data pipelines
- Manage data warehousing, processing, and extraction processes, ensuring high standards of data quality and integrity
- Integrate new data technologies and software engineering tools, providing technical guidance on complex challenges, and ensuring stability and scalability of the data infrastructure
- Demonstrate proficiency in relevant technologies and continuously seek improvements to data processes and systems for enhanced efficiency
Qualifications
- Bachelor's degree in computer science, information systems, or similar STEM field preferred
- Minimum of 5 years of proven experience in data engineering, with a minimum of 3 years of experience in a management or leadership role
- Extensive experience following End to End Agile Development Lifecycle
- Strong technical background in Python, Databricks, AWS services, Alation, Airflow, and SQL
- Experience with various data ingestion patterns, such as RESTful APIs, SQL, flat-file, and Data Streams
- Extensive experience aligning data from disparate sources with varying granularity and CI/CD best practices
- Extensive experience with handling large data sets, high performance computing, building high performance solutions, and data integration projects
- Extensive experience with integration testing and automation using a continuous integration platform such as GitLab, Jenkins, or Bamboo
This position starts at a minimum of:
$ 100700 per year
