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New York Blood Center · 12 hours ago

Senior Data Engineer

Rye, NY

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $150K/yr

5+ years exp

New York Blood Center is seeking a Senior Data Engineer to design and optimize data pipelines and architecture. The role involves collaborating with various teams to translate data requirements into engineering solutions while mentoring junior engineers and ensuring data quality standards.

Health CareMedicalTest and Measurement

H1B Sponsor Likely

Responsibilities

Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks

Ensure efficient data flow and processing to support large-scale data handling

Develop and refine data models to accurately represent business processes, ensuring they're scalable and fully integrate with our extensive data architecture, including Big Data frameworks like Spark

Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments (Azure, AWS, or Google Cloud)

Lead and contribute within Agile/SCRUM frameworks to ensure timely and efficient project deliveries

Actively participate in sprints and stand-ups, applying these methodologies to streamline development

Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions

Guide and mentor junior data engineers, promoting best practices in SQL, Python, and cloud technologies, and fostering a culture of continuous learning and improvement

Uphold and champion data quality standards and governance policies, ensuring reliability and compliance in all data-related tasks

Monitor and enhance the performance of data infrastructure, proactively identifying and resolving bottlenecks or inefficiencies in cloud and Big Data environments

Stay abreast of emerging data engineering and AI technologies and methodologies, recommending and implementing innovative tools or practices as appropriate

Generate comprehensive documentation for data processes, pipelines, and architectures to ensure clarity and ease of maintenance for the team, including detailed descriptions of cloud and Big Data implementations

Qualification

Data EngineeringSQLPythonCloud Data PlatformsDatabricksSparkData ModelingAgile/SCRUMData Quality StandardsMentoring

Required

Master's degree in Data Science, Computer Science, Information Technology, or closely related field and 3 years of experience in the position offered or a related role; or a Bachelor's degree in the above mentioned fields and 5 years of experience in the position offered or a related role

Requires 2 years of experience in all of the following: data engineering; designing, implementing, and optimizing databases and data pipelines; SQL Server, Oracle, or other relational database management systems (RDBMS); SQL and Python for advanced data manipulation and analytics; data modeling and architecture for both analytics and transactional systems within large-scale environments; at least one major cloud data platform (Azure, AWS, Google Cloud) with practical application in data engineering projects; Spark and Cloud ETL tools like Databricks, focusing on scalability and real-time processing capabilities; and developing data models for integration and analysis that support business intelligence and data analytics initiatives

Company

New York Blood Center

New York Blood Center is a blood collection and distribution organization.

Founded in 1964

New York, New York, USA

1001-5000 employees

https://www.nybc.org

H1B Sponsorship

New York Blood Center has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (16)

2024 (17)

2023 (8)

2022 (6)

2021 (6)

2020 (4)