Data Engineer; Python​/SQL​/ETL​/Healthcare

Trigyn’s direct client, based out of Baton Rouge, Louisiana, has a long-term contract assignment for Data Engineer (Remote). The particulars of the position are as follows.
Description:

• Assess feasibility and technical requirements for LINKS – Data Lake integration.
• 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 (Git Hub Actions, Azure Dev Ops, etc.).
• Exposure to Infrastructure as Code experience (Terraform, Cloud Formation).
• Experience with data governance and metadata tools (Atlan, Open Metadata, 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, Big Query).
• 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.

For an immediate response, please call 732‑876‑7632, or send your resume to Recruiter

CSETRIGYN TECHNOLOGIES, INC. is an EQUAL OPPORTUNITY EMPLOYER and has been in business for 35 years. TRIGYN is an ISO 27001:2022 and CMMI Level 5 certified company.

Trigyn Technologies