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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 Data Engineer, you will play a crucial role in developing and optimizing our data infrastructure to support organizational growth and data-driven decision-making. Reporting to Senior/Lead Data Engineer, you will contribute to the design, implementation, and maintenance of scalable data pipelines and architectures within our cloud and on-premises environments. Leveraging your proficiency in SQL, Python, and your experience with cloud platforms (Azure, AWS, or Google Cloud), you will help enhance our data processing capabilities and integrate new data management technologies. Your understanding of ETL/ELT frameworks, combined with a practical knowledge of Big Data tools such as Spark and Databricks, will be instrumental in improving our data workflows. By working collaboratively with cross-functional teams and utilizing Agile methodologies, you will ensure that our data solutions are robust, timely, and aligned with business objectives. This role provides a dynamic opportunity to develop your technical skills and advance your career in data engineering, while making a significant impact on our operations
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:
Additional Qualifications:
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:
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:
The following certifications, while not mandatory are are highly recommended:
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 $100,000 to $115,000 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
$130k-160k (estimate)
05/27/2024
06/15/2024
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 Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a 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 Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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 Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.