We’re looking for a Data Engineer to join Source Meridian.About Source MeridianSource 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 RoleWe're looking for a 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 DoBuild 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 Qualifications2+ 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 with theAWS 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).ExcellentSQLskills 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 HaveExperience 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 SkillsStrong and empathetic leadership.Provenclient-facing experience.Strategic mindset with a solution-oriented approach and strong decision-making skills.What We OfferPermanent contractLearning and continuous growth environmentBenefits package focused on health and well-beingCompetitive salary based on experienceApply only if you reside in Colombia or EcuadorWe’d love to meet you#J-18808-Ljbffr

📌 Data Engineer (Medellín)
🏢 Source Meridian
📍 Medellín