Source Meridian
Healthcare technology, artificial intelligence, and healthcare interoperability
163.DataEngineer
“163. Data Engineer at Source Meridian. Skills: Data Engineering, AWS, Spark, Airflow. Build and maintain Spark pipelines. Process large-scale Parquet datasets”
What You'll Achieve.
building products that truly make a difference
Industry & Context.
solve the industry’s most challenging problems; solution-oriented approach
What They're Looking For.
Must Have
1 -2 years of professional experience in Data Engineering, Apache Spark (PySpark or Scala), AWS data stack, Amazon S3 (Parquet datasets, partition strategies, data layout best practices), Amazon Athena (SQL, query optimization, managing large datasets), Airflow (DAGs, scheduling, dependencies, backfills), SQL skills, data modeling fundamentals, Advanced English level
Nice to Have
dbt (core, tests, documentation, exposures), healthcare data (claims data, eligibility, member-level datasets), tokenization, identity resolution, or privacy-preserving data workflows, AWS security concepts (IAM, KMS, encryption, secure data handling), Spark on AWS (EMR) or Spark-on-containers architectures, AWS-native data lake patterns (Glue Catalog, Lake Formation concepts)
What You'll Do.
Build and maintain Spark pipelines
Process large-scale Parquet datasets
Implement tokenization workflows
Process and deliver healthcare claims datasets
Ensure accurate identity mapping
Orchestrate data pipelines
Develop reliable ETL/ELT processes
Optimize performance and cost
Contribute to dbt models
How You'll Work.
Team & Collaboration
Collaborate with cross-functional stakeholders; work directly with US-based stakeholders
Communication Scope
lead technical discussions; write clear documentation; Excellent communication skills
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