Data Engineer

Source Meridian; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Learning and growth environment

Health and well-being benefits

Salary based on experience

Descripción de la vacante

Source Meridian in Colombia seeks a Data Engineer to build and operate an AWS-native data platform for healthcare claims. You will design Spark pipelines on S3, implement tokenization workflows, and ensure data integrity while working with cross-functional teams.

Qualifying candidates bring 2+ years in data engineering, strong Spark/SQL skills, and experience with Airflow and dbt. The role emphasizes privacy, security, and cost-aware optimization in a fixed-term, permanent contract environment.

Formación

• 2+ years of professional experience in Data Engineering.
• Proficient with Apache Spark (PySpark/Scala) and big data processing.
• Hands-on AWS data stack experience: S3, Athena, Glue Catalog, Lake Formation a plus.
• Experience building and operating pipelines with Airflow.
• Excellent SQL and data modeling fundamentals.
• Advanced English: able to lead technical discussions with US-based stakeholders.

Responsabilidades

• Build and maintain Spark pipelines to process large-scale Parquet datasets on S3.
• Implement tokenization workflows and dataset intersections.
• Process and deliver healthcare claims datasets with accurate identity mapping.
• Orchestrate data pipelines using Airflow or AWS-native tools.
• Develop reliable, testable ETL/ELT processes with monitoring and retries.
• Optimize Spark, S3 partitioning, and Athena query patterns for cost and performance.
• Contribute to dbt models and data quality checks.
• Collaborate with cross-functional stakeholders while ensuring privacy and secure data handling.

Conocimientos

Apache Spark

SQL

English

Data Modeling

Leadership / Stakeholder Communication

Herramientas

AWS S3

Athena

Glue Catalog

Lake Formation

Airflow

dbt

EMR

Descripción del empleo

We’re looking for a 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 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.
• Implement tokenization workflows, including transit token → real token conversion and dataset intersection/join logic.
• 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

• 2+ 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 the AWS 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 using Airflow (DAGs, scheduling, dependencies, backfills).
• Excellent SQL 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 with dbt (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 as IAM, KMS, encryption, and secure data handling.
• Experience running Spark on AWS (e.g., EMR) or Spark-on-containers architectures.

Tech Stack

• AWS-native architecture
• Amazon S3 + Parquet (core storage layer)
• Amazon Athena (query engine)
• Apache Spark (no Databricks)
• Airflow (orchestration)
• dbt (optional, as applicable)

Soft Skills

• Strong and empathetic leadership.
• Proven client-facing experience.
• Excellent communication skills.
• Strong expectation management abilities. 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 Colombia or Ecuador

At Source Meridian, you’ll be part of a high-impact tech-health company, building products that truly make a difference.

We’d love to meet you