Braintrust

Compensation

Full Description

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