About the role
About Fusemachines
Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
Type: Full-time, Remote
About The Role
This is a full-time, high-impact position for a Senior Data Engineer with expertise in Databricks, dbt, and Apache Airflow to support a critical CRM data architecture migration for a key client in the Life Sciences industry.
In this role, you will join an urgent initiative to backfill key engineering capabilities and maintain momentum during an ongoing CRM system transition. The project involves migrating enterprise customer data from Veeva CRM to Salesforce Life Sciences Cloud, integrated with an underlying AWS S3 cloud environment and Databricks data warehouse. Your main focus will be building out, configuring, and redirecting data ingestion pipelines out of Life Sciences Cloud into the data warehouse, while implementing dbt models and Airflow orchestrations to ensure complete data accuracy.
Candidates must be able to operate strictly on US East Coast business hours (location is flexible across North America, LATAM, or remote with full Eastern Time overlap).
Qualification / Skill Set Requirement:
Core Technical Expertise: 5+ years of hands-on data engineering experience with deep expertise in AWS, Databricks, dbt, and Apache Airflow Strong programming proficiency in Python / PySpark and Advanced SQL (complex joins, analytical window functions) Hands-on expertise in Databricks platform architecture, Lakehouse implementation, Delta Lake, Unity Catalog, and cluster performance tuning Architecture & Migration: Proven track record of architecting and executing migrations Demonstrated experience scaling platform performance Pipeline Orchestration & Modeling: Proven experience building scalable transformations pipelines using dbt for data transformation, testing, and documentation Solid background orchestrating complex workflow DAGs with Apache Airflow Experience working with AWS cloud infrastructure, specifically AWS S3 as an underlying data lake storage layer CRM Integration & Domain Knowledge: Hands-on experience developing integrations and data ingestion pipelines for CRM platforms, specifically Salesforce, Salesforce Life Sciences Cloud, and/or Veeva CRM Understanding of data structures, customer master data, and analytics workflows within the Life Sciences DevOps & Governance: Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management Knowledge of AWS and Databricks security best practices and compliance standards Certifications Preferred: Databricks Certified Data Engineer Associate/Professional, Databricks Spark Developer, and major cloud certifications in AWS Logistics & Shift Overlap: Ability to maintain 100% full working time overlap with US East Coast business hours (ET). Flexible location (US, Canada, LATAM, or remote ET) Responsibilities
Pipeline Development & Integration: Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the client’s Databricks warehouse environment CRM Migration Support: Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly Transformation & Workflow Orchestration: Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow Data Warehouse & Storage Optimization: Manage Delta tables and optimize Databricks clusters and AWS S3 storage for high performance and cost efficiency Data Validation & Quality Assurance: Implement data quality testing, schemas, and verification rules in dbt and Python to guarantee accurate data delivery Monitoring & Alerting: Build and enforce proactive monitoring frameworks Agile Collaboration: Work closely with project leads, solution architects, and technical stakeholders during US East Coast hours to ensure rapid iteration and goal completion
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Powered by JazzHR
vQfwmy5HZ5
About Bicycle Health
There’s a moment you realize that you can’t continue like this. You want better days, better relationships, and more possibilities.
When you’re in the depths of opioid use disorder (OUD), it takes strength and courage to act on that moment. At Bicycle Health, we believe that choosing to start recovery creates hope in the face of hardship.
With us, your care begins as soon as you reach out. Most patients get an appointment on the same day or the day after. Our personalized care and medication plans offer professional support and suboxone to control withdrawal. On your best days and your worst days, we’re always here for you.
About 95% of patients end problematic opioid use within just one week. And 88% of patients who have been in care with us for a year or more see positive outcomes including easier days, steady employment, and healthier relationships.
No one does this alone. Our community of doctors, care providers, and support groups are available every day. With regular check-ins, we’ll work with you to update your care as you make progress.
We know that with the right treatment, you can overcome OUD and build a life you love.
Similar Jobs
About the role
About Fusemachines
Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
Type: Full-time, Remote
About The Role
This is a full-time, high-impact position for a Senior Data Engineer with expertise in Databricks, dbt, and Apache Airflow to support a critical CRM data architecture migration for a key client in the Life Sciences industry.
In this role, you will join an urgent initiative to backfill key engineering capabilities and maintain momentum during an ongoing CRM system transition. The project involves migrating enterprise customer data from Veeva CRM to Salesforce Life Sciences Cloud, integrated with an underlying AWS S3 cloud environment and Databricks data warehouse. Your main focus will be building out, configuring, and redirecting data ingestion pipelines out of Life Sciences Cloud into the data warehouse, while implementing dbt models and Airflow orchestrations to ensure complete data accuracy.
Candidates must be able to operate strictly on US East Coast business hours (location is flexible across North America, LATAM, or remote with full Eastern Time overlap).
Qualification / Skill Set Requirement:
Core Technical Expertise: 5+ years of hands-on data engineering experience with deep expertise in AWS, Databricks, dbt, and Apache Airflow Strong programming proficiency in Python / PySpark and Advanced SQL (complex joins, analytical window functions) Hands-on expertise in Databricks platform architecture, Lakehouse implementation, Delta Lake, Unity Catalog, and cluster performance tuning Architecture & Migration: Proven track record of architecting and executing migrations Demonstrated experience scaling platform performance Pipeline Orchestration & Modeling: Proven experience building scalable transformations pipelines using dbt for data transformation, testing, and documentation Solid background orchestrating complex workflow DAGs with Apache Airflow Experience working with AWS cloud infrastructure, specifically AWS S3 as an underlying data lake storage layer CRM Integration & Domain Knowledge: Hands-on experience developing integrations and data ingestion pipelines for CRM platforms, specifically Salesforce, Salesforce Life Sciences Cloud, and/or Veeva CRM Understanding of data structures, customer master data, and analytics workflows within the Life Sciences DevOps & Governance: Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management Knowledge of AWS and Databricks security best practices and compliance standards Certifications Preferred: Databricks Certified Data Engineer Associate/Professional, Databricks Spark Developer, and major cloud certifications in AWS Logistics & Shift Overlap: Ability to maintain 100% full working time overlap with US East Coast business hours (ET). Flexible location (US, Canada, LATAM, or remote ET) Responsibilities
Pipeline Development & Integration: Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the client’s Databricks warehouse environment CRM Migration Support: Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly Transformation & Workflow Orchestration: Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow Data Warehouse & Storage Optimization: Manage Delta tables and optimize Databricks clusters and AWS S3 storage for high performance and cost efficiency Data Validation & Quality Assurance: Implement data quality testing, schemas, and verification rules in dbt and Python to guarantee accurate data delivery Monitoring & Alerting: Build and enforce proactive monitoring frameworks Agile Collaboration: Work closely with project leads, solution architects, and technical stakeholders during US East Coast hours to ensure rapid iteration and goal completion
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Powered by JazzHR
vQfwmy5HZ5
About Bicycle Health
There’s a moment you realize that you can’t continue like this. You want better days, better relationships, and more possibilities.
When you’re in the depths of opioid use disorder (OUD), it takes strength and courage to act on that moment. At Bicycle Health, we believe that choosing to start recovery creates hope in the face of hardship.
With us, your care begins as soon as you reach out. Most patients get an appointment on the same day or the day after. Our personalized care and medication plans offer professional support and suboxone to control withdrawal. On your best days and your worst days, we’re always here for you.
About 95% of patients end problematic opioid use within just one week. And 88% of patients who have been in care with us for a year or more see positive outcomes including easier days, steady employment, and healthier relationships.
No one does this alone. Our community of doctors, care providers, and support groups are available every day. With regular check-ins, we’ll work with you to update your care as you make progress.
We know that with the right treatment, you can overcome OUD and build a life you love.