Digital Transformation Executive
Job Title: Part-Time digital transformation/data analysis (dbt & AWS Glue) – Long-Term Contract
Background - DBT and AWS' Glue is a must have for this consulting role
Location: Remote
Engagement Type: Part-Time Contractor (Long-Term)
We are a digital transformation company focused on life sciences, healthcare, and data-driven solutions partnering with clients to modernize data architectures, optimize workflows, and enable advanced analytics.
Role Overview
We are seeking a part-time Data Engineer with expertise in dbt (Data Build Tool) and AWS Glue to support our ongoing data transformation initiatives. This role is ideal for someone looking for long-term contract work while collaborating with a high-performing team in a flexible, remote setting.
Responsibilities
• Develop and maintain dbt models to transform raw data into analytics-ready datasets.
• Build and optimize AWS Glue jobs for ETL/ELT processes, ensuring scalable and efficient data pipelines.
• Work with cross-functional teams (data analysts, scientists, and engineers) to define data transformation requirements.
• Implement best practices for data modeling, testing, and documentation using dbt and Glue.
• Monitor data pipelines for performance, reliability, and cost-effectiveness.
• Contribute to CI/CD pipelines for automated deployment and testing of data transformations.
• Maintain data governance and security compliance in alignment with industry regulations.
Required Qualifications
• 3+ years of experience in data engineering, analytics engineering, or ETL development.
• Proficiency in dbt (developing models, macros, testing, documentation).
• Strong experience with AWS Glue (writing PySpark/Scala scripts, job orchestration, Glue Data Catalog).
• Expert SQL skills for data modeling and transformations.
• Familiarity with data lakes, data warehouses (Snowflake, Redshift, BigQuery), and cloud-based ETL processes.
• Experience integrating data pipelines with S3, RDS, or DynamoDB.
• Knowledge of version control (Git), CI/CD workflows, and infrastructure-as-code (Terraform is a plus).
• Strong problem-solving skills and ability to work independently.
Preferred Qualifications
• Experience in life sciences, clinical trials, or healthcare data.
• Exposure to Apache Airflow, AWS Step Functions, or other orchestration tools.
• Understanding of data privacy (HIPAA, GDPR) and compliance frameworks.
Details
• Part-time (10-20 hours per week), relatively flexible schedule.
• Long-term contract with potential for increased hours.
Job Title: Part-Time digital transformation/data analysis (dbt & AWS Glue) – Long-Term Contract
Background - DBT and AWS' Glue is a must have for this consulting role
Location: Remote
Engagement Type: Part-Time Contractor (Long-Term)
We are a digital transformation company focused on life sciences, healthcare, and data-driven solutions partnering with clients to modernize data architectures, optimize workflows, and enable advanced analytics.
Role Overview
We are seeking a part-time Data Engineer with expertise in dbt (Data Build Tool) and AWS Glue to support our ongoing data transformation initiatives. This role is ideal for someone looking for long-term contract work while collaborating with a high-performing team in a flexible, remote setting.
Responsibilities
• Develop and maintain dbt models to transform raw data into analytics-ready datasets.
• Build and optimize AWS Glue jobs for ETL/ELT processes, ensuring scalable and efficient data pipelines.
• Work with cross-functional teams (data analysts, scientists, and engineers) to define data transformation requirements.
• Implement best practices for data modeling, testing, and documentation using dbt and Glue.
• Monitor data pipelines for performance, reliability, and cost-effectiveness.
• Contribute to CI/CD pipelines for automated deployment and testing of data transformations.
• Maintain data governance and security compliance in alignment with industry regulations.
Required Qualifications
• 3+ years of experience in data engineering, analytics engineering, or ETL development.
• Proficiency in dbt (developing models, macros, testing, documentation).
• Strong experience with AWS Glue (writing PySpark/Scala scripts, job orchestration, Glue Data Catalog).
• Expert SQL skills for data modeling and transformations.
• Familiarity with data lakes, data warehouses (Snowflake, Redshift, BigQuery), and cloud-based ETL processes.
• Experience integrating data pipelines with S3, RDS, or DynamoDB.
• Knowledge of version control (Git), CI/CD workflows, and infrastructure-as-code (Terraform is a plus).
• Strong problem-solving skills and ability to work independently.
Preferred Qualifications
• Experience in life sciences, clinical trials, or healthcare data.
• Exposure to Apache Airflow, AWS Step Functions, or other orchestration tools.
• Understanding of data privacy (HIPAA, GDPR) and compliance frameworks.
Details
• Part-time (10-20 hours per week), relatively flexible schedule.
• Long-term contract with potential for increased hours.
