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Senior Data Engineer

Philippines
full_time
Philippines
up to 110k salary

Role Summary

The Senior Data Engineer will design, develop, and implement data warehouse solutions, focusing on building and optimizing data pipelines and models to support analytics in a fast-paced healthcare environment. This mid to senior-level role requires collaboration with cross-functional teams to ensure data quality and performance, driving process improvements across various functions including Clinical and Patient Accounting.

Benefits & Culture

This full-time position offers a work-from-home setup primarily based in Metro Manila, with a night shift schedule that may transition to mid-shift after 3-6 months. Candidates will undergo on-site training in BGC, Taguig for IT asset collection, and the role emphasizes collaboration and engagement with stakeholders, providing growth opportunities in a dynamic healthcare sector.

Full Job Description

Job Expectations: Position Type: Experienced - Mid/SeniorEmployment Type: Full-Time; Permanent (Direct Hire)Work Setup & Location: WFH - Metro ManilaWork Schedule: Mondays - Fridays; Night Shift (Can be mid shift after 3-6 months)Industry: Healthcare About the Job: We are looking for a skilled and motivated Senior Data Engineer to design, develop, and implement advanced data warehouse solutions. You will build and optimize data pipelines, models, and infrastructure to support analytics and reporting across Clinical, Patient Accounting, and Corporate functions. This cloud-focused role requires hands-on experience with modern technologies such as Google BigQuery or equivalent. The ideal candidate has strong SQL and data warehousing skills, ensures data quality and performance, drives process improvements, and collaborates with cross-functional teams to deliver reliable insights in a fast-paced healthcare environment. Qualifications: Bachelor's Degree in Computer Science, Information Technology, or a related fieldStrong SQL and relational database design/development expertiseProven hands-on experience in data warehousing development (Teradata BTEQ, Oracle PL/SQL, SQL Server T-SQL, Netezza, or equivalent) with the ability and willingness to adapt to Google BigQueryProficiency in cloud-based data warehouse technologies such as Google BigQuery or similarSkilled in building and optimizing large-scale data sets, data pipelines, and architecturesStrong experience in data modeling and data warehouse designAbility to perform root cause analysis and deliver process improvements across structured and unstructured dataExcellent analytical and communication skills, with strong interpersonal ability to engage stakeholders at all levelsWilling to work on-site on training for 1-2 weeks at BGC, Taguig for IT Asset CollectionWilling to work in US hours (graveyard shift) Preferred (Not Required): Experience in healthcare data systems or patient financial service systemsFamiliarity with big data tools such as Kafka and SparkKnowledge of workflow management tools (e.g., Airflow) and programming/scripting languages, including Python, Scala, Java, or C++Understanding of hospital information systems and healthcare system integration (Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen) Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended

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