Senior Data Engineer en Improving

Remoto (Sudamérica y México) | Senior | Full time | Data Science / Analytics

Sueldo bruto $4200 - 6000 USD/mes

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We are seeking a skilled Senior Data Engineer to design, build, and deliver data engineering solutions on our Databricks-based healthcare data platform. This is a hands-on individual contributor role, executing within established engineering standards to build and maintain production-grade data pipelines, contribute to our migration from SQL Server to Databricks, and uphold platform quality and reliability. The Senior Data Engineer works closely with the Principal Data Engineer and broader team to deliver data engineering workstreams across ingestion, transformation, and serving layers.

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Design, build, and maintain production-grade data pipelines using PySpark and Spark Declarative Pipelines (Delta Live Tables) on Databricks.
Develop modular, tested, and documented dbt transformation models as part of the team's analytics engineering layer.
Implement and maintain multi-layer data architectures (Bronze/Silver/Gold) on Delta Lake following medallion architecture principles.
Contribute to the migration of data pipelines, stored procedures, and SSIS packages from SQL Server to Databricks, ensuring logic fidelity and data integrity.
Ensure pipeline reliability through robust error handling, data quality checks, and SLA-aligned alerting.
Manage Databricks compute resources, cluster configurations, and job scheduling via Databricks Workflows.
Enforce data security and access controls within pipeline and storage design via Unity Catalog.
Participate in code reviews, contribute to engineering discussions, and help uphold team-wide coding standards.
Write clean, maintainable Python and SQL code following version control and CI/CD best practices.

5+ years of experience in data engineering with a strong focus on pipeline development.
Hands-on expertise with Databricks, including Delta Lake, Databricks Workflows, and Unity Catalog.
Proficiency in PySpark and Apache Spark for large-scale distributed data processing.
Experience building pipelines with Spark Declarative Pipelines (Delta Live Tables).
Working knowledge of dbt for SQL-based transformation development and testing.
Experience processing healthcare data including claims, clinical, EMR/EHR, eligibility, or provider data.
Proficiency in Python and SQL with a disciplined approach to code quality and testing.
Experience with cloud infrastructure (Azure, AWS, or GCP) and CI/CD pipeline tooling.
Understanding of data modeling methodologies: Data Vault 2.0, 3NF, and dimensional modeling (Kimball).
Familiarity with healthcare data compliance considerations (HIPAA) and data standards (HL7, FHIR, ICD-10, CPT, NPI).
Experience with data orchestration tools such as Apache Airflow or Azure Data Factory.
Exposure to streaming data pipelines using Kafka or Databricks Structured Streaming.
Databricks Certified Data Engineer Associate or Professional certification.

Healthcare data experience is essential.

SQL Server experience is a strong plus.

Benefits

Major Medical Expense Insurance
Life Insurance
Dental and Vision Insurance
Mental Health Support
IMSS (Mexican Social Security)
Seniority Bonus
Savings Fund Program
Career Development Plan
Christmas Bonus (Aguinaldo)
Vacation Bonus
Corporate Retirement Plan
Certifications and Training Programs
Internal Events
TotalPass Wellness Program
Additional Paid Time Off

Additional Protection and Discounts

Auto and Motorcycle Insurance
Pet Insurance
Personal Belongings Insurance

GETONBRD Job ID: 63209

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Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.

Cobertura de salud Improving paga o copaga cobertura de salud adicional a lo legal.

Computadora Improving proporciona una computadora para tu trabajo.

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Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica y México para postular.

Acerca de Improving

Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes. — Perfil completo de Improving

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