188. Senior Data Engineer
Senior data engineer (tech-lead level) on a customer engineering team at a healthcare-tech company: supporting clients on the Ascend 2.0 platform, acting as escalation point for a small team, resolving data issues and production support, and building/maintaining AWS data pipelines with Python and SQL. Must reside in Colombia or Ecuador.
- Compensation
- Not disclosed
- Location
- Medellín, Antioquia, Colombia; Quito, Pichincha, Ecuador
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 7+ years in data engineering
- Hands-on experience building AWS data pipelines
- Strong Python and SQL
- Experience leading technical work and serving as escalation point for a small team
- Comfort working directly with clients on data issues, root cause analysis and production support
- Meaningful overlap with US Eastern business hours
- Advanced English (C1): lead technical discussions, write documentation, work with US-based stakeholders
- Reside in Colombia or Ecuador
- Strong and empathetic leadership
- Proven client-facing experience
- Excellent communication skills
- Strong expectation management abilities
- Strategic mindset with solution-oriented approach and decision-making skills
Nice to have
- Pharma or life sciences commercial data experience (specialty pharmacy, hub, payer)
- Apache Spark (PySpark), Amazon S3 (Parquet) and Athena
- Airflow (DAGs, scheduling, backfills)
- dbt
Full description
We’re looking for a Senior Data Engineer to join Source Meridian.
About Source Meridian
Source Meridian is a development software company that works to solve the industry’s most challenging problems in healthcare practices. We are laser focused on specific technologies in the healthcare and life science industries: Healthcare technology, artificial intelligence, and healthcare interoperability.
About the Role
We're looking for a Senior Customer Engineer at the tech lead level for its Customer Engineering team. You'll support customers on the Ascend 2.0 platform, starting with one account and growing to more Ascend 2.0 customers over time. You'll be the technical lead and escalation point for a small team, working directly with clients on data issues, root cause analysis and production support.
What You’ll Do
-
Lead technical work for customers on Ascend 2.0, starting with one account
-
Act as the escalation point for a small team of engineers
-
Work directly with clients on data issues, root cause analysis and production support
-
Build and maintain AWS data pipelines using Python and SQL
- Take on additional Ascend 2.0 customers over time
Required Qualifications
-
7+ years in data engineering
-
Hands-on experience building AWS data pipelines
-
Strong Python and SQL
-
Experience leading technical work and serving as the escalation point for a small team
-
Comfort working directly with clients on data issues, root cause analysis and production support
-
Meaningful overlap with US Eastern business hours
-
Advanced English (C1): able to lead technical discussions, write clear documentation and work directly with US-based stakeholders
Nice to Have
-
Pharma or life sciences commercial data experience (specialty pharmacy, hub, payer)
-
Apache Spark (PySpark), Amazon S3 (Parquet) and Athena
-
Airflow (DAGs, scheduling, backfills)
-
dbt
Soft Skills
-
Strong and empathetic leadership.
-
Proven client-facing experience.