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Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
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Are you a Data Engineer looking to make a real impact? We are looking for a founding Data Engineer to architect the modern data stack that powers our Customer Success organization. In this role, you will move beyond simple data maintenance to design the Semantic Layer—the "Single Source of Truth"—that defines how Suki measures value, adoption, and retention. You will own the end-to-end data lifecycle: orchestrating automated ingestion (ELT), modeling complex healthcare data in BigQuery using dbt, and optimizing data delivery for high-performance BI in Tableau. This is a high-visibility role for a builder who wants to replace manual processes with scalable, engineering-grade data infrastructure. A key part of this role includes automating data pipelines across platforms such as Salesforce, Gainsight, and external customer signals—leveraging APIs, Python, and emerging AI tools to replace manual reporting with scalable, engineering-grade infrastructure. Here's a sneak peek of what you'll be doing:
Automation & Integration - Manage Data Pipelines: Own the end-to-end data ingestion process using modern ELT tools and Reverse ETL. Prioritise configuration-based connectors over custom Python scripts to ensure long-term maintainability. - Data Quality & Observability: Implement automated testing suites (using dbt tests) to detect data anomalies before they reach dashboards. Configure alerts to notify the team of pipeline failures or freshness delays.
- BI & Quality: Familiarity with Tableau (or Looker) to optimize data sources for performance. Strong understanding of data governance, testing (dbt tests), and version control (Git). - Mindset: Proactive problem solver who focuses on maintainable, scalable architecture over one-off scripts. Excellent attention to detail. Deep, practical expertise in using Python to create bespoke API integrations, automate workflows, and develop operational data processes, exceeding the capabilities of standard connectors. Tell me more about Suki
- Experience: 3–5 years in Analytics Engineering or Data Engineering, ideally within a B2B SaaS or Customer Success environment. - Core Stack: Expert proficiency in SQL and dbt. Demonstrated experience modeling complex, semi-structured data (JSON/FHIR) into clean analytical tables in BigQuery (or Snowflake). - Data Pipeline Management: Hands-on experience with ELT tools (Fivetran, Airbyte) and orchestration (Airflow, dbt Cloud). Ability to manage data flow from raw ingestion to the final BI layer.
- Core Stack: Expert proficiency in SQL and dbt. Demonstrated experience modeling complex, semi-structured data (JSON/FHIR) into clean analytical tables in BigQuery (or Snowflake). - Data Pipeline Management: Hands-on experience with ELT tools (Fivetran, Airbyte) and orchestration (Airflow, dbt Cloud). Ability to manage data flow from raw ingestion to the final BI layer. - CRM & Systems: Working knowledge of Salesforce data schemas (Objects, Leads, Opportunities). Experience with Reverse ETL (Hightouch/Census) to sync data back to business tools is a strong plus.
Data Architecture & Infrastructure - Design, maintain, and optimize a clean, well-structured data architecture in BigQuery to support analytics, automation, and business intelligence. - Build and manage ETL/ELT pipelines between BigQuery, Salesforce, Gainsight, and other systems for seamless, scalable data flow.
- Design, maintain, and optimize a clean, well-structured data architecture in BigQuery to support analytics, automation, and business intelligence. - Build and manage ETL/ELT pipelines between BigQuery, Salesforce, Gainsight, and other systems for seamless, scalable data flow. - Set up and manage GCP infrastructure, including Cloud Storage buckets, triggers, and scheduled workflows, to automate ingestion and transformation.
- Set up and manage GCP infrastructure, including Cloud Storage buckets, triggers, and scheduled workflows, to automate ingestion and transformation. - Create and maintain data models and standardized tables in BigQuery to support analytical needs across the Customer Success organization. - Document data architecture, pipelines, and automation workflows to ensure maintainability and reproducibility.
- Data Pipeline Management: Hands-on experience with ELT tools (Fivetran, Airbyte) and orchestration (Airflow, dbt Cloud). Ability to manage data flow from raw ingestion to the final BI layer. - CRM & Systems: Working knowledge of Salesforce data schemas (Objects, Leads, Opportunities). Experience with Reverse ETL (Hightouch/Census) to sync data back to business tools is a strong plus. - BI & Quality: Familiarity with Tableau (or Looker) to optimize data sources for performance. Strong understanding of data governance, testing (dbt tests), and version control (Git).
- Manage Data Pipelines: Own the end-to-end data ingestion process using modern ELT tools and Reverse ETL. Prioritise configuration-based connectors over custom Python scripts to ensure long-term maintainability. - Data Quality & Observability: Implement automated testing suites (using dbt tests) to detect data anomalies before they reach dashboards. Configure alerts to notify the team of pipeline failures or freshness delays. - BI Performance Tuning: Partner with Analytics to structure data models ("One Big Table") that ensure sub-second query performance for dashboards. Collaboration & Governance
- CRM & Systems: Working knowledge of Salesforce data schemas (Objects, Leads, Opportunities). Experience with Reverse ETL (Hightouch/Census) to sync data back to business tools is a strong plus. - BI & Quality: Familiarity with Tableau (or Looker) to optimize data sources for performance. Strong understanding of data governance, testing (dbt tests), and version control (Git). - Mindset: Proactive problem solver who focuses on maintainable, scalable architecture over one-off scripts. Excellent attention to detail. Deep, practical expertise in using Python to create bespoke API integrations, automate workflows, and develop operational data processes, exceeding the capabilities of standard connectors.
- Build and manage ETL/ELT pipelines between BigQuery, Salesforce, Gainsight, and other systems for seamless, scalable data flow. - Set up and manage GCP infrastructure, including Cloud Storage buckets, triggers, and scheduled workflows, to automate ingestion and transformation. - Create and maintain data models and standardized tables in BigQuery to support analytical needs across the Customer Success organization.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
What we want to accomplish and why we need you
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant thatuses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
Are you a Data Engineer looking to make a real impact?
We are looking for a founding Data Engineer to architect the modern data stack that powers our Customer Success organization. In this role, you will move beyond simple data maintenance to design the Semantic Layer—the "Single Source of Truth"—that defines how Suki measures value, adoption, and retention. You will own the end-to-end data lifecycle: orchestrating automated ingestion (ELT), modeling complex healthcare data in BigQuery using dbt, and optimizing data delivery for high-performance BI in Tableau. This is a high-visibility role for a builder who wants to replace manual processes with scalable, engineering-grade data infrastructure. A key part of this role includes automating data pipelines across platforms such as Salesforce, Gainsight, and external customer signals—leveraging APIs, Python, and emerging AI tools to replace manual reporting with scalable, engineering-grade infrastructure.
Here's a sneak peek of what you'll be doing:
Data Architecture & Infrastructure
Automation & Integration
Data Hygiene & Validation:
What we're looking for:
Tell me more about Suki
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
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Bengaluru
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