Senior Data Engineer I WFH Up to 110K Salary

RecruitNest Consulting

Job Location:

National Capital Region - Philippines

Monthly Salary: ₱ 90000 - 110000

Posted on: 18 days ago

Vacancies: 1 Vacancy

Job Summary

Job Expectations:

Position Type: Experienced - Mid/Senior
Employment Type: Full-Time; Permanent (Direct Hire)
Work Setup & Location: WFH - Metro Manila
Work 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:

Bachelors Degree in Computer Science Information Technology or a related field
Strong SQL and relational database design/development expertise
Proven 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 BigQuery
Proficiency in cloud-based data warehouse technologies such as Google BigQuery or similar
Skilled in building and optimizing large-scale data sets data pipelines and architectures
Strong experience in data modeling and data warehouse design
Ability to perform root cause analysis and deliver process improvements across structured and unstructured data
Excellent analytical and communication skills with strong interpersonal ability to engage stakeholders at all levels
Willing to work on-site on training for 1-2 weeks at BGC Taguig for IT Asset Collection
Willing to work in US hours (graveyard shift)

Preferred (Not Required):

Experience in healthcare data systems or patient financial service systems
Familiarity with big data tools such as Kafka and Spark
Knowledge 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

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 m...

Job Expectations:

Position Type: Experienced - Mid/Senior
Employment Type: Full-Time; Permanent (Direct Hire)
Work Setup & Location: WFH - Metro Manila
Work Schedule: Mondays - Fridays; Night Shift (Can be mid shift after 3-6 months)
Industry: Healthcare

About the Job:

Qualifications:

Bachelors Degree in Computer Science Information Technology or a related field
Strong SQL and relational database design/development expertise
Proven 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 BigQuery
Proficiency in cloud-based data warehouse technologies such as Google BigQuery or similar
Skilled in building and optimizing large-scale data sets data pipelines and architectures
Strong experience in data modeling and data warehouse design
Ability to perform root cause analysis and deliver process improvements across structured and unstructured data
Excellent analytical and communication skills with strong interpersonal ability to engage stakeholders at all levels
Willing to work on-site on training for 1-2 weeks at BGC Taguig for IT Asset Collection
Willing to work in US hours (graveyard shift)

Preferred (Not Required):

Experience in healthcare data systems or patient financial service systems
Familiarity with big data tools such as Kafka and Spark
Knowledge 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