ai talent02.02.26
AI SCORE 8.6

Senior Databricks Developer - Government Health Sector

$120K–$150K/year

About the Role

We're hiring a Senior Databricks Developer to join our team in the Government Health sector. This role offers the opportunity to work remotely while making a significant impact on public health outcomes through advanced data analytics.

What You'll Do

  • Lead the design and development of large-scale, resilient, and performant ETL/ELT data pipelines using PySpark/Scala within Databricks notebooks and jobs.
  • Architect and manage the Delta Lake environment, focusing on data ingestion, quality enforcement using Delta Live Tables, and schema evolution for complex public health datasets.
  • Optimise Databricks clusters, notebooks, and Spark jobs for cost-efficiency and performance, specifically targeting bottlenecks in high-volume batch and streaming workloads.
  • Define and enforce data governance practices within the Lakehouse, utilizing Unity Catalogue for centralized metadata and access control, adhering to government standards.
  • Collaborate closely with government analysts and data scientists to transition analytical models and research findings into scalable, production-ready pipelines.
  • Champion CI/CD and MLOps practices for Databricks notebooks and workflows, utilizing tools like Azure DevOps or Jenkins.
  • Mentor and guide junior engineers on Databricks development standards, Spark optimisation, and modern data engineering practices.

Requirements

  • 6+ years of progressive professional experience in Data Engineering, with at least 3 years dedicated to developing solutions on the Databricks Platform.
  • Expert-level proficiency in PySpark and/or Scala for distributed data processing.
  • Hands-on experience with Delta Lake architecture, including DLT, time travel, and VACUUM operations.
  • Deep understanding of cloud infrastructure (Azure preferred) and how Databricks integrates with cloud storage (ADLS Gen2) and services.
  • Expert proficiency in SQL and dimensional modelling principles.
  • Proven experience with CI/CD, Infrastructure as Code (e.g., Terraform), and Databricks command-line tools for automation.
  • Exceptional communication and problem-solving skills, with the ability to analyse complex requirements and design resilient solutions in a highly regulated environment.

What We Offer

  • Competitive salary with an estimated range of AUD 120,000 - 150,000 per year.
  • Visa sponsorship for international candidates.
  • Remote work flexibility.
  • Opportunities for professional development and mentorship.
  • Work on impactful projects that enhance public health outcomes.
Why This Job8.6 of 10

This Senior Databricks Developer role offers a unique opportunity to work remotely in the Government Health sector, with competitive pay and visa sponsorship.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

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Industry
Tech
Location
Remote

Who Will Succeed Here

Expertise in building and optimizing ETL/ELT data pipelines using PySpark and Scala within Databricks, demonstrating a strong understanding of Delta Lake architecture and performance tuning.

Proven experience working in a remote environment, showcasing self-discipline and the ability to manage time effectively while collaborating with cross-functional teams through tools like Azure DevOps and CI/CD pipelines.

Strong background in cloud infrastructure management using Terraform and Azure, with a strategic mindset for implementing scalable solutions in the government health sector.

Learning Resources

Databricks Documentationguide

Career Path

Senior Databricks Developer - Government Health Sector(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Databricks Market Size 2024
$4.5B
Annual Growth
27.5%
AI Adoption in Health Sector
65%
Investment in Data Analytics
+150%
Labour Demand for Databricks Developers
+40%
Avg Salary for Senior Databricks Developer
$130K

Skills & Requirements

Required
DatabricksPySparkScala
Growing in Demand
Machine LearningData EngineeringCloud Architecture
Declining
HadoopTraditional ETL Tools

Domain Trends

Increased Adoption of Cloud-Native Data Solutions
The shift towards cloud-native solutions like Databricks is driving a 45% increase in cloud data warehouse adoption in the healthcare sector.
Integration of AI in Data Analytics
AI-driven analytics tools are projected to enhance data processing capabilities by 50% in government health agencies by 2025.
Focus on Data Governance and Compliance
With 70% of healthcare organizations prioritizing data governance, there is a rising need for developers skilled in compliance frameworks alongside Databricks.

Industry News

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