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At New York Blood Center Enterprises (NYBCe), one of the most comprehensive blood centers in the world, our focus is on cultivating excellence by merging cutting-edge innovation with diligent customer service, groundbreaking research, and comprehensive program and service development. Join us as we work towards meeting and exceeding the growing needs of our diverse communities, further our lifesaving strategic goals in a rapidly changing environment, and expand our impact on the local, national, and global communities we serve.
This position will work within the enterprise data engineering team to continuously build, maintain, and improve the design, performance, reliability, scalability, security, and architecture of the NYBCe enterprise data products.
Candidates must be able to report into one of the following NYBCe locations:New York City, NY; Kansas City, Missouri; St. Paul, Minnesota; Providence , RI and Newark, DE.
Responsibilities:
• Develop robust database solutions, data integration (ETL, ELT) packages, automation, performance monitoring, SQL coding, database tuning and optimization, security
management, capacity planning, database HA, and database DR solutions across required data platforms.
• Conduct in-depth data analysis to support data product design.• Identify and resolve production database and data integration issues.• Collaborates closely with data quality, application, and visualization teams to deliver high-quality dataproducts.• Participate in code review, QA, release, and continuous deployment processes
• Responsible for sharing on-call rotation and off-hours outage escalations support with colleagues.• Provide support for existing legacy data solutions and develop migration paths to new platforms as required/necessary
Education:
Preferred Qualifications:
Experience:
Preferred Experience
Licenses/Certification
• Azure Data Track certifications are preferred. Willing to attain certification, if not currently certified.
Certification in Agile Methodology is a plus.
Knowledge:
• Intermediate knowledge of OLTP and OLAP database design
• Intermediate knowledge of data modeling (normalized and dimensional) • Intermediate knowledge of ETL, and ELT architecture especially for real and near-real-time scenarios • Intermediate knowledge of Data Architecture implementation patterns
Skills: • Must be an analytical mind, critical thinker, and problem solver. • Detail-oriented with strong organization and time management skills. • Attention to detail and organizational skills • Must have excellent written and verbal communication skills. • Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds.
Abilities • Ability to interact with customers one to one or in large groups • Ability to work independently with remote supervision. • Ability to build in receiving feedback as part of the development process, and seek consistent and constructive feedback. • Ability to embrace accountability and ownership.
For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $110,000 to $120,000 a year. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant’s skills, job-related knowledge, and experience.
Full Time
Ancillary Healthcare
$107k-141k (estimate)
04/04/2024
04/02/2025
delmarvablood.org
NEWARK, DE
25 - 50
Private
CHRISTOPHER HILLYER
$5M - $10M
Ancillary Healthcare
The job skills required for Senior Data Engineer include Customer Service, Time Management, Attention to Detail, Verbal Communication, Innovation, Communicates Effectively, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
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Quotes from people on Senior Data Engineer job description and responsibilities
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Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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