Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 1 Year(s)
No Travel Required
Able to Provide Sponsorship
Skills
Apache Spark
Amazon Redshift
Cloud Computing
Amazon Web Services
Collaboration
Business Intelligence
Data Quality
Continuous Integration
DevOps
Workflow
SQL
Google Cloud Platform
Extract, Transform, Load
ELT
Data Lake
Data Governance
Cloud Storage
Job Details
Job Title: Data Engineer – DBT, Databricks & SQL Expert
Location: Remote
Key Responsibilities:
Required Skills & Experience:
Location: Remote
Key Responsibilities:
- Design, build, and maintain scalable and efficient ETL/ELT pipelines using DBT and Databr
icks. - 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 Google Cloud Platform (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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.