Data Engineer

Intec Select; Austin (TX); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Hybrid working in Austin

Remote work considered in eligible US?

Professional development

Job summary

Intec Select Limited is seeking an experienced Data Engineer in Austin, TX (Remote) to modernise a healthcare data platform. You will connect diverse data sources across the healthcare ecosystem, shaping reliable data for clinical and business teams while navigating a migration to Snowflake and AI-driven analytics.

The role requires hands-on Snowflake/dbt, API integrations, and strong T-SQL/Python skills, plus healthcare IT experience.

Qualifications

• 5+ years of experience in data engineering, database development or a related role.
• Healthcare IT experience is essential, with work on healthcare data, ideally clinical data, HL7 or FHIR.
• Strong hands-on production experience with Snowflake and dbt.
• Experience building API integrations and working with external data sources.
• Advanced T-SQL and Python skills.
• Experience with Azure Data Factory or similar cloud data platforms.
• Experience working within ITIL or similar enterprise service delivery frameworks.
• A strong troubleshooting mindset and the ability to diagnose issues across systems independently.
• Boomi or other integration platform experience is a strong advantage.
• Certifications are required for this role, to be obtained within 3-6 months: Snowflake SnowPro Core, Epic certification, Boomi Professional Developer.

Responsibilities

• Design, build and maintain scalable ELT/ETL pipelines using Snowflake, dbt, Azure Data Factory and Python.
• Build and optimise data models within Snowflake to support analytics, reporting and operational workflows.
• Develop and maintain API-based integrations with external partners, laboratories and healthcare data exchanges.
• Stabilise existing integration workflows on the Boomi platform and plan their migration into Snowflake.
• Support the migration of SQL Server objects, including stored procedures and SSIS packages, to Snowflake and Azure.
• Investigate and resolve pipeline failures and data issues, owning troubleshooting from source to destination.
• Ensure data accuracy, completeness and consistency across all systems and data products.
• Build data capabilities that serve both clinical and business teams, including finance.
• Maintain documentation, data lineage and data dictionaries.
• Contribute to emerging analytics engineering and applied AI initiatives.

Skills

Snowflake

dbt

Python

T-SQL

Azure Data Factory

API integrations

ETL/ELT design

Healthcare IT

Tools

Boomi Platform

Epic

Job description

Data Engineer | Austin, TX (Remote) | Up to $200,000 Per Year

We are working with a rapidly growing healthcare organisation in Austin, Texas, seeking an experienced Data Engineer to play a key role in modernising its enterprise data platform.

This is more than a standard data engineering role. You will connect data from across the healthcare ecosystem, including partner organisations, laboratories, provider networks and health information exchanges, and turn it into reliable, well-structured data that clinical and business teams can depend on.

The organisation is partway through a major migration from SQL Server to Snowflake and is building towards AI-driven analytics. We are looking for someone with proven healthcare data experience, strong hands-on technical ability, a genuine ownership mindset and the experience to troubleshoot complex data issues from end to end.

Key Responsibilities

• Design, build and maintain scalable ELT/ETL pipelines using Snowflake, dbt, Azure Data Factory and Python.
• Build and optimise data models within Snowflake to support analytics, reporting and operational workflows.
• Develop and maintain API-based integrations with external partners, laboratories and healthcare data exchanges.
• Stabilise existing integration workflows on the Boomi platform and plan their migration into Snowflake.
• Support the migration of SQL Server objects, including stored procedures and SSIS packages, to Snowflake and Azure.
• Investigate and resolve pipeline failures and data issues, owning troubleshooting from source to destination.
• Ensure data accuracy, completeness and consistency across all systems and data products.
• Build data capabilities that serve both clinical and business teams, including finance.
• Maintain documentation, data lineage and data dictionaries.
• Contribute to emerging analytics engineering and applied AI initiatives.

Requirements

• 5+ years of experience in data engineering, database development or a related role.
• Healthcare IT experience is essential. Candidates must have worked with healthcare data, ideally clinical data, EHR systems (e.g. Epic), HL7 or FHIR.
• Strong, hands-on production experience with Snowflake and dbt.
• Experience building API integrations and working with external data sources.
• Advanced T-SQL and Python skills.
• Experience with Azure Data Factory or similar cloud data platforms.
• Experience working within ITIL or similar enterprise service delivery frameworks.
• A strong troubleshooting mindset and the ability to diagnose issues across systems independently.
• Boomi or other integration platform experience is a strong advantage.
• Certifications are required for this role. Candidates must hold or be willing to obtain the following within 3-6 months of starting:
• Snowflake SnowPro Core
• Epic certification
• Boomi Professional Developer

What’s on Offer

• Salary of up to $200,000 per year, depending on experience and certifications.
• Hybrid working in Austin, with remote working considered for candidates in eligible US states (quarterly visits to Austin required).
• Full-time, permanent position with a stable public healthcare organisation.
• The chance to shape a major data platform modernisation from an early stage.
• Exposure to AI, analytics engineering and complex healthcare data integration.
• Professional development, including support with industry certifications.
• Join an organisation with significant long-term growth plans and expanding healthcare services.