
5001 - 10000 employees
Founded 1996
Boston Medical Center (BMC) is a 511-bed, equity-led academic medical center and a proud member of the Boston Medical Center Health System. BMC delivers a model of healthcare where innovative and equitable care empowers all patients to thrive. As a premier academic medical center in Boston, a national leader in clinical care, and the largest essential hospital in New England, BMC’s world-class clinicians provide comprehensive care in more than 70 specialties and subspecialties.
🕒 September 4
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5001 - 10000 employees
Founded 1996
Boston Medical Center (BMC) is a 511-bed, equity-led academic medical center and a proud member of the Boston Medical Center Health System. BMC delivers a model of healthcare where innovative and equitable care empowers all patients to thrive. As a premier academic medical center in Boston, a national leader in clinical care, and the largest essential hospital in New England, BMC’s world-class clinicians provide comprehensive care in more than 70 specialties and subspecialties.
• Build data pipelines and scalable data processing systems in cloud environments • Design, construct, and test data lakes, data warehouses, data lake houses, and databases • Design and implement data pipelines using cloud-native tools and services • Develop ETL (Extract, Transform, Load) processes for data ingestion and transformation • Write and optimize SQL and Python queries for data retrieval and analysis • Optimize data workflows to improve performance and efficiency • Collaborate with leadership, analysts, Research, and cross-functional teams to define data requirements and reporting needs across departments • Implement data solutions aligned with business and technical requirements • Apply data governance, access controls, security, and compliance standards • Provide system troubleshooting and support
• Bachelor’s degree in computer science, Information Technology, or a related field • Minimum of Five (5) or more years of experience in data engineering or related roles, or an equivalent combination of education and experience • Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) • Knowledge of data warehousing and big data technologies (e.g., Hadoop, Spark) • Understanding of data modeling and database design principles • Ability to design and document end-to-end processes, including steps, dependencies, systems of record, and roles of involved parties • Strong analytical, oral, and written communication skills • Proficiency in Microsoft Office products • Strong attention to detail, with excellent proofreading and editing skills • Proficiency in programming languages such as Python, SQL, or Java
• Medical insurance • Dental insurance • Vision insurance • Pharmacy benefits • Discretionary annual bonuses • Merit increases • Flexible Spending Accounts • 403(b) savings matches • Paid time off • Career advancement opportunities • Resources to support employee and family well-being
Apply Now🕒 September 4
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