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Data Engineer

Data Engineer

RICEFW Technologies IncLA, United States
2 days ago
Job type
  • Full-time
  • Quick Apply
Job description

The scope of the proposed services will include the following :

  • Assess feasibility and technical requirements for LINKS DataLake integration.
  • Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines.
  • Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries).
  • Design scalable data workflows to improve data quality, integrity, and identity resolution.
  • Implement data governance, observability, and lineage tracking across all pipelines.
  • Mentor engineers, support testing, and enforce best practices in orchestration and architecture.
  • Document and communicate technical solutions to technical and non-technical stakeholders.
  • Expertise and / or relevant experience in the following areas are mandatory :
  • 3 years of experience in data engineering and / or data architecture
  • 2 years of experience with Python for ETL and automation (pandas, requests, API integration).
  • 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL)
  • 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent).
  • 1 year experience with cloud platforms (Azure, AWS, or GCP), including data onboarding / migration.
  • 1 year exposure to data lake / medallion architecture (bronze, silver, gold)
  • 2 years of experience providing written documentation and verbal communication for cross- functional collaboration.

Expertise and / or relevant experience in the following areas are desirable but not mandatory :

  • 5+ years of experience in data engineering roles
  • Experience integrating or developing REST / JSON or XML APIs
  • Familiarity with CI / CD pipelines (GitHub Actions, Azure DevOps, etc.).
  • Exposure to Infrastructure as Code experience (Terraform, CloudFormation).
  • Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra).
  • Public health / healthcare dataset or similar experience, including PHI / PII handling.
  • Familiarity with SAS and R workflows to support epidemiologists and analysts.
  • Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery).
  • Familiarity with data quality frameworks (Great Expectations, Deequ).
  • Experience with real-time / streaming tools (Kafka, Spark Streaming).
  • Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop).
  • Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.).
  • Agile / SCRUM team experience.
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    Data Engineer • LA, United States