Data Engineer with DBT & Data Bricks & SQL -- 100 Remote -- W2 profiles Only

Job Title: Data Engineer – DBT, Databricks & SQL Expert

Location:
 Remote

Key Responsibilities:

• Design, build, and maintain scalable and efficient 
  ETL/ELT pipelines
   using 
  DBT
   and 
  Databricks
  .
• Develop, optimize, and troubleshoot complex 
  SQL queries
   for data transformations, validations, and reporting.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
• Implement 
  data quality
   and 
  data governance
   best practices in pipelines.
• Work with 
  structured and semi-structured data
   from multiple sources (e.g., APIs, flat files, cloud storage).
• Build and maintain 
  data models
   (star/snowflake schemas) to support analytics and BI tools.
• Monitor pipeline performance and troubleshoot issues in production environments.
• Maintain version control, testing, and CI/CD for DBT projects using Git and DevOps pipelines.

Required Skills & Experience:

• experience as a 
  Data Engineer
• Strong experience with 
  DBT
   (Cloud or Core) for transformation workflows.
• Proficiency in 
  SQL
   — deep understanding of joins, window functions, CTEs, and performance tuning.
• Hands-on experience with 
  Databricks
   (Spark, Delta Lake, Notebooks).
• Experience with at least one 
  cloud data platform
  : AWS (Redshift), Azure (Synapse), or GCP (BigQuery).
• Familiarity with 
  data lake
   and 
  lakehouse
   architecture.
• Experience with 
  Git
   and version control in data projects.
• Knowledge of 
  orchestration tools
   like Airflow, Azure Data Factory, or dbt Cloud scheduler.
• Comfortable with Python or PySpark for data manipulation (bonus).