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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.
Responsibilities:As a Senior Data Engineer, you'll be a pivotal figure in defining and advancing our data infrastructure vision. Reporting to the Director of Data Engineering, your role will be crucial in designing, implementing, and refining databases, data pipelines, and data interfaces to ensure scalability and performance. Your proficiency in SQL, Python, and cloud environments (Azure, AWS, or Google Cloud) will empower you to develop solutions that are both robust and optimally aligned with our strategic goals. With a solid grasp of Big Data concepts, including Spark and Cloud ETL tools like Databricks, you will enhance our capabilities in handling complex data challenges. By adopting Agile/SCRUM methodologies, you'll drive innovative and timely project deliveries. You'll also mentor junior engineers, promoting a culture of excellence and continuous improvement. As a senior member of our team, you will work closely with data scientists, BI teams, software engineers, and other stakeholders to translate complex data requirements into practical and impactful engineering strategies.
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:
Required Minimum Education & Experience:
Education:
Bachelors Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
Essential Experience:
Cloud and Big Data Experience:
Methodology and Tools:
Any combination of education, training, and experience that provides the required knowledge, skills, and abilities to perform the essential functions of the job.
Preferred Qualifications:
Education: Masters Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
Experience with the Microsoft Azure technology stack or similar technologies in competing platforms.
Practical knowledge of data analytics and visualization tools to aid in data-driven decision making and reporting.
Certifications & Licenses:
Professional certification in Agile and SCRUM methodologies (e.g., Certified ScrumMaster (CSM), SAFe Agilist).
Certifications in Python and SQL programming (e.g., Microsoft Certified: Python Programming Specialist, Oracle SQL Certification).
Certifications in cloud services relevant to the job (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist).
Willing to attain certification, if not currently certified.
Required Knowledge, Skills & Abilities:
Knowledge
Skills
Abilities
For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $125,000 to $135,000 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 applicants skills, job-related knowledge, and experience.
Full Time
$115k-145k (estimate)
04/29/2024
05/12/2024
nybloodcenter.org
BLUE SPRINGS, MO
1,000 - 3,000
1964
NGO/NPO/NFP/Organization/Association
LISA WINGER
$200M - $500M
Ancillary Healthcare
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.