Data Engineer — AI‑Driven Healthtech (Hybrid)

Biorce; Austin (TX); Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Hybrid work model

Private health coverage

MacBook provided

Pet-friendly office

Job summary

Biorce, a Healthtech company in Austin, is seeking a Data Engineer to build scalable data pipelines and data foundations that power multiple AI-driven products. You will work with data scientists, DevOps, and product owners to deliver robust, compliant data flows across a multi-product portfolio.

You will design batch and streaming pipelines, implement data quality controls, and optimize storage and costs while collaborating with Bravo product teams to align data capabilities with customer needs.

Qualifications

• 3+ years of professional experience in Data Engineering or related roles.
• Proven hands-on experience with GCP data tools: BigQuery, Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Composer, and Cloud Functions.
• Strong proficiency in SQL and Python for data transformation and automation.
• Experience designing batch and streaming data pipelines with scalable and fault-tolerant architectures.
• Familiarity with data modeling, schema design, and data warehouse optimization.
• Understanding of API-based ingestion, data normalization, and pipeline monitoring.
• Exposure to version-controlled, modular pipeline development, such as Terraform or GitOps.
• Experience working collaboratively with data scientists and MLOps teams.
• Comfort operating across several products or workstreams at once, with the judgement to prioritise where impact is highest.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Data Fusion, Dataflow, Pub/Sub, and BigQuery.
• Build and orchestrate complex data ingestion workflows from diverse clinical, research, and third-party sources.
• Support the Bravo portfolio end to end — building shared, reusable data foundations that serve multiple products rather than one-off pipelines per feature.
• Partner with Bravo product owners on prioritisation and sequencing, translating customer signals into data capabilities and flagging where data constraints shape what's feasible.
• Collaborate with data scientists to enable seamless model training, feature generation, and inference data flows.
• Ensure data quality, integrity, and lineage across all systems through rigorous validation and monitoring.
• Develop and optimize SQL and Python-based transformations to ensure high performance and maintainability.
• Manage data storage, partitioning, and lifecycle strategies for efficiency and cost control.
• Ensure compliance with SOC2, ISO 27001, HIPAA, GDPR, and clinical data governance standards in all data operations.
• Continuously improve internal frameworks for ingestion, metadata management, and data documentation.
• Contribute to cross-functional discussions to shape the evolution of Biorce's data and AI architecture.

Skills

SQL

Python

GCP tools

Data modeling

Data pipelines

BigQuery

Dataflow

Data Fusion

Pub/Sub

Terraform

GitOps

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

BigQuery

Cloud Storage

Pub/Sub

Data Fusion

Dataflow

Composer

Cloud Functions

Job description

Biorce, a Healthtech company in Austin, is seeking a Data Engineer to build scalable data pipelines and data foundations that power multiple AI-driven products. You will work with data scientists, DevOps, and product owners to deliver robust, compliant data flows across a multi-product portfolio.

You will design batch and streaming pipelines, implement data quality controls, and optimize storage and costs while collaborating with Bravo product teams to align data capabilities with customer needs.