Data Generalist (USA/Canada, Part time, Remote)
Job Description
We are seeking a senior, part-time Data Generalist to support analytics, data engineering, and MarTech initiatives over a 4-month contract (March–June). This project may extend beyond that, but that is what we anticipate right now. This role is ideal for a highly autonomous engineer who can operate with minimal handholding in a fast-moving environment.
The role is remote, based in North America, averaging ~15 hours per week, with workload that may be uneven or “spiky” depending on project needs. Strong communication and comfort in client-facing discussions are essential.
Responsibilities
• Design, build, and optimize data pipelines and analytics solutions on Google Cloud Platform (GCP).
• Develop and optimize BigQuery datasets using partitioning, clustering, and query optimization.
• Build and maintain ETL/ELT pipelines using Python, SQL, and tools such as Fivetran and dbt.
• Develop and support custom APIs using Cloud Functions or Cloud Run.
• Implement event-driven architectures using Pub/Sub and workflow orchestration via Cloud Composer (Airflow) or Cloud Workflows.
• Apply IAM and security best practices, including handling PHI/PII in HIPAA-compliant environments.
• Support marketing data use cases including attribution, Google Ads, Meta Ads, and API-based integrations.
• Partner closely with the Martech Architect to translate business and marketing requirements into scalable technical solutions.
• Communicate clearly with internal teams and clients, explaining technical concepts and tradeoffs.
Requirements
Must-Have
• Strong expertise in Google Cloud Platform, including:
• * BigQuery (partitioning, clustering, optimization)
• Cloud Functions and/or Cloud Run
• Pub/Sub
• IAM and security best practices
• Cloud Composer (Airflow) or Cloud Workflows
• Solid data engineering background, including:
• * Python (pandas, requests, google-cloud libraries)
• Advanced SQL (complex queries, window functions, performance tuning)
• ETL/ELT pipeline design
• Data modeling (star and snowflake schemas)
• Familiarity with dbt
• Experience with data clean rooms
• Experience in healthcare and/or marketing technology, including:
• * HIPAA compliance requirements
• PHI/PII handling
• Marketing attribution concepts
• API integrations (REST, OAuth)
• Hands-on experience with:
• * Fivetran
• Git version control
• Terraform (infrastructure as code)
• Monitoring tools (Datadog, Cloud Monitoring)
• Analytics platforms such as Tableau or Looker
• Strong written and verbal communication skills; comfortable working directly with clients.
• Ability to work independently with limited oversight; senior-level judgment and execution.
Nice-to-Have
• Experience with LiveRamp or IQVIA
• Prior healthcare data background
• Backend development experience using JavaScript/TypeScript
Apply Now
Apply Now
We are seeking a senior, part-time Data Generalist to support analytics, data engineering, and MarTech initiatives over a 4-month contract (March–June). This project may extend beyond that, but that is what we anticipate right now. This role is ideal for a highly autonomous engineer who can operate with minimal handholding in a fast-moving environment.
The role is remote, based in North America, averaging ~15 hours per week, with workload that may be uneven or “spiky” depending on project needs. Strong communication and comfort in client-facing discussions are essential.
Responsibilities
• Design, build, and optimize data pipelines and analytics solutions on Google Cloud Platform (GCP).
• Develop and optimize BigQuery datasets using partitioning, clustering, and query optimization.
• Build and maintain ETL/ELT pipelines using Python, SQL, and tools such as Fivetran and dbt.
• Develop and support custom APIs using Cloud Functions or Cloud Run.
• Implement event-driven architectures using Pub/Sub and workflow orchestration via Cloud Composer (Airflow) or Cloud Workflows.
• Apply IAM and security best practices, including handling PHI/PII in HIPAA-compliant environments.
• Support marketing data use cases including attribution, Google Ads, Meta Ads, and API-based integrations.
• Partner closely with the Martech Architect to translate business and marketing requirements into scalable technical solutions.
• Communicate clearly with internal teams and clients, explaining technical concepts and tradeoffs.
Requirements
Must-Have
• Strong expertise in Google Cloud Platform, including:
• * BigQuery (partitioning, clustering, optimization)
• Cloud Functions and/or Cloud Run
• Pub/Sub
• IAM and security best practices
• Cloud Composer (Airflow) or Cloud Workflows
• Solid data engineering background, including:
• * Python (pandas, requests, google-cloud libraries)
• Advanced SQL (complex queries, window functions, performance tuning)
• ETL/ELT pipeline design
• Data modeling (star and snowflake schemas)
• Familiarity with dbt
• Experience with data clean rooms
• Experience in healthcare and/or marketing technology, including:
• * HIPAA compliance requirements
• PHI/PII handling
• Marketing attribution concepts
• API integrations (REST, OAuth)
• Hands-on experience with:
• * Fivetran
• Git version control
• Terraform (infrastructure as code)
• Monitoring tools (Datadog, Cloud Monitoring)
• Analytics platforms such as Tableau or Looker
• Strong written and verbal communication skills; comfortable working directly with clients.
• Ability to work independently with limited oversight; senior-level judgment and execution.
Nice-to-Have
• Experience with LiveRamp or IQVIA
• Prior healthcare data background
• Backend development experience using JavaScript/TypeScript
Apply Now
Apply Now