Data Engineer Job at Cloud Consulting Services Inc, Baton Rouge, LA

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  • Cloud Consulting Services Inc
  • Baton Rouge, LA

Job Description

Hi,

Hope you are doing great!

Currently, we have an opening for a Data Engineer for our direct client in Baton Rouge, LA - (Remote) . The position details are given below. If you are interested, you can email me or call me.

Job Details:
Title: Data Engineer
Duration: 12+ Months
Location: Baton Rouge, LA - Remote


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 (preferably 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.

Job Tags

Work at office,

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