189. Senior Data Engineer

Source Meridian; Medellín; On-site; COP 110,000,000 - 170,000,000; Full time

Benefits offered by this job

Permanent contract

Learning and continuous growth

Health and well-being benefits

Competitive salary based on experience

Job summary

Source Meridian is seeking a Senior Data Engineer to build and operate an AWS-native data platform processing healthcare claims data and tokenized identifiers in Medellín. You will design Spark-based pipelines on Parquet on S3, queried via Athena, with a focus on data quality and privacy.

You will collaborate with cross-functional teams, optimize Spark performance and cost, contribute to dbt models, and implement robust ETL/ELT processes in a healthcare environment.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Strong experience with Apache Spark (PySpark or Scala) including joins, intersections, partitioning, and performance tuning.
• Strong hands-on experience with AWS data stack (S3, Athena, Glue, Lake Formation concepts).
• Experience building and operating pipelines using Airflow (DAGs, scheduling, dependencies, backfills).
• Excellent SQL skills and solid data modeling fundamentals.

Responsibilities

• Build and maintain Spark pipelines to process large-scale Parquet datasets on S3.
• Process and deliver healthcare claims datasets with accurate identity mapping and data integrity.
• Orchestrate data pipelines using Airflow and AWS-native tools.
• Develop reliable ETL/ELT processes with retries, idempotency, monitoring, and reprocessing.
• Optimize performance and cost across Spark jobs, S3 layout, and Athena queries.
• Contribute to dbt models (transformations, documentation, data quality).
• Collaborate with cross-functional stakeholders with a focus on privacy and secure data handling.

Skills

Apache Spark

PySpark/Scala

SQL

Airflow

AWS Data Stack

Data Modeling

Client-facing

English (Advanced)

Tools

dbt

AWS Glue

Amazon Athena

Amazon S3

Airflow

Job 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 Data Engineer to help build and operate an AWS-native data platform processing healthcare claims data and tokenized identifiers. You'll design and implement Spark-based pipelines that transform, intersect, and enrich tokenized datasets stored primarily as Parquet on S3, queried via Athena and related AWS services. This environment intentionally avoids managed lakehouse platforms (e.g., no Databricks and no Snowflake)—you'll be doing "real" data engineering directly on AWS.

What You’ll Do

Build and maintain Spark pipelines to process large-scale Parquet datasets on S3.

Process and deliver healthcare claims datasets for matched individuals, ensuring accurate identity mapping and data integrity.

Orchestrate data pipelines using Airflow and/or AWS-native orchestration tools when appropriate.

Develop reliable, testable, and observable ETL/ELT processes (retries, idempotency, monitoring, reprocessing).

Optimize performance and cost across Spark jobs, S3 partitioning/layout, and Athena query patterns.

Contribute to dbt models when applicable (transformations, documentation, data quality checks).

Collaborate with cross-functional stakeholders in a healthcare environment, with a strong focus on privacy and secure data handling.

Required Qualifications

5+ years of professional experience in Data Engineering.

Strong experience withApache Spark (PySpark or Scala), including joins, intersections, partitioning, and performance tuning.

Strong hands-on experience withAWS data stack, including:

Amazon S3 (Parquet datasets, partition strategies, data layout best practices)

Amazon Athena (SQL, query optimization, managing large datasets)

Familiarity with AWS-native data lake patterns (Glue Catalog, Lake Formation concepts are a plus)

Experience building and operating pipelines usingAirflow (DAGs, scheduling, dependencies, backfills).

ExcellentSQL skills and solid data modeling fundamentals.

Advanced English level: able to lead technical discussions, write clear documentation, and work directly with US-based stakeholders.

Nice to Have

Experience withdbt (core, tests, documentation, exposures).

Familiarity with healthcare data (claims data, eligibility, member-level datasets).

Experience with tokenization, identity resolution, or privacy-preserving data workflows.

Knowledge of AWS security concepts such asIAM, KMS, encryption, and secure data handling.

Experience running Spark on AWS (e.g., EMR) or Spark-on-containers architectures.

Amazon S3 + Parquet (core storage layer)

Amazon Athena (query engine)

Airflow (orchestration)

dbt (optional, as applicable)

Soft Skills

Strong and empathetic leadership.

Provenclient-facing experience.

Strategic mindset with a solution-oriented approach and strong decision-making skills.

What We Offer

• Permanent contract
• Learning and continuous growth environment
• Benefits package focused on health and well-being
• Competitive salary based on experience

Apply only if you reside in Ecuador or Colombia

AtSource Meridian, you’ll be part of a high-impacttech-healthcompany, building products that truly make a difference.