Apptad Inc.
Senior Analytics Engineer (DBT & Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer (DBT & Databricks) for a 6-month remote contract (US & Canada). Requires 5+ years in data engineering, expertise in SQL, DBT, Databricks on AWS, and proficiency in Python and orchestration tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #Data Quality #Airflow #GIT #Data Engineering #Data Mart #Python #AWS (Amazon Web Services) #Documentation #Monitoring #Version Control #SQL (Structured Query Language) #Data Governance #dbt (data build tool) #Data Modeling #Data Pipeline #Databricks #"ETL (Extract #Transform #Load)" #Datasets
Role description
Job Title: Senior Analytics Engineer (DBT & Databricks)
Location: Remote (US & Canada)
Duration: 6 Months
About the Role
We are seeking a Senior Analytics Engineer to design and build scalable data transformation solutions using DBT and Databricks. This role focuses on modernizing data pipelines, improving data models, and enabling high-quality, self-service analytics.
Key Responsibilities
• Migrate legacy data pipelines into a modern Databricks + DBT (Lakehouse) architecture
• Analyze existing workflows and redesign them using best-in-class data modeling practices
• Develop and maintain scalable DBT models and transformation pipelines
• Design dimensional and relational data models (fact/dimension, star schema)
• Own transformation layers (Silver/Gold) and ensure data readiness for analytics
• Implement data quality checks, monitoring, and SLA-driven pipelines
• Collaborate with analytics, product, and data engineering teams
• Support data governance, documentation, and lineage
• Enable self-service reporting through well-structured data marts
Required Skills & Experience
• 5+ years in data/analytics engineering or data modeling
• Strong hands-on expertise in SQL (advanced level)
• Proven experience with DBT (models, tests, incremental loads, optimization)
• Experience with Databricks on AWS (must-have)
• Strong understanding of data warehousing & dimensional modeling
• Experience handling large-scale datasets and performance tuning
• Hands-on with Python and orchestration tools (Airflow or similar)
• Familiarity with CI/CD, Git, and version control practices
Job Title: Senior Analytics Engineer (DBT & Databricks)
Location: Remote (US & Canada)
Duration: 6 Months
About the Role
We are seeking a Senior Analytics Engineer to design and build scalable data transformation solutions using DBT and Databricks. This role focuses on modernizing data pipelines, improving data models, and enabling high-quality, self-service analytics.
Key Responsibilities
• Migrate legacy data pipelines into a modern Databricks + DBT (Lakehouse) architecture
• Analyze existing workflows and redesign them using best-in-class data modeling practices
• Develop and maintain scalable DBT models and transformation pipelines
• Design dimensional and relational data models (fact/dimension, star schema)
• Own transformation layers (Silver/Gold) and ensure data readiness for analytics
• Implement data quality checks, monitoring, and SLA-driven pipelines
• Collaborate with analytics, product, and data engineering teams
• Support data governance, documentation, and lineage
• Enable self-service reporting through well-structured data marts
Required Skills & Experience
• 5+ years in data/analytics engineering or data modeling
• Strong hands-on expertise in SQL (advanced level)
• Proven experience with DBT (models, tests, incremental loads, optimization)
• Experience with Databricks on AWS (must-have)
• Strong understanding of data warehousing & dimensional modeling
• Experience handling large-scale datasets and performance tuning
• Hands-on with Python and orchestration tools (Airflow or similar)
• Familiarity with CI/CD, Git, and version control practices
