Data Engineer

Back

Data Engineer

@ VieMed

Essential Duties and Responsibilities:

  • Engineering & Development
    • Build and maintain scalable ETL/ELT pipelines for batch and streaming data.
    • Write high-quality SQL and Python for data transformations and integrations.
    • Optimize data models, queries, and workflows for performance and cost efficiency.
    • Partner with analysts and data scientists to deliver reliable datasets for BI, analytics, and ML.
  • Architecture & Infrastructure
    • Contribute to the design of modern data warehouse and lakehouse solutions (Snowflake, Redshift, BigQuery, Databricks, etc.).
    • Implement data orchestration and transformation frameworks (Airflow, dbt, Prefect).
    • Support data infrastructure in the cloud (AWS/GCP/Azure), ensuring scalability, reliability, and security.
  • Mentorship & Collaboration
    • Provide technical guidance and informal mentoring to less experienced data engineers.
    • Participate in code reviews, design discussions, and knowledge-sharing sessions.
    • Promote best practices in coding standards, documentation, and testing.
  • Quality & Operations
    • Establish and maintain standards for data quality, observability, and reliability.
    • Troubleshoot pipeline and infrastructure issues in production environments.
    • Contribute to automation and monitoring efforts to reduce manual operations.


Qualifications:

Minimum Qualifications:

  • Experience
    • 4–6+ years of experience in data engineering or related fields.
    • Prior experience collaborating with and mentoring junior engineers.
  • Technical Skills
    • Advanced SQL and query optimization.
    • Strong Python for data engineering (Pandas, PySpark, or similar).
    • Hands-on experience with data orchestration (Airflow, dbt, Prefect).
    • Familiarity with modern cloud-based data platforms (AWS Redshift, Snowflake, BigQuery, Synapse, Databricks).
    • Strong understanding of data modeling and schema design.


Preferred Knowledge, Skills and Abilities:

  • Experience with streaming technologies (Kafka, Kinesis, Pub/Sub).
  • Familiarity with CI/CD and version control workflows.
  • Exposure to data governance and security frameworks.


How to Apply:

Apply online at https://www.viemed.com/corporate-careers/ 

Visit Site to Apply

Location: Lafayette, LA
Date Posted: August 25, 2025
Application Deadline: September 26, 2025
Job Type: Full-time