ai talent04.02.26
AI SCORE 8.5

Senior Databricks Developer - Government Health Sector

$120K–$150K/year

About the Role

We are seeking a Senior Databricks Developer remote to join a vital leader in the Government Health sector. This role is dedicated to optimizing public health outcomes through a modern, cloud-native data platform. As a Senior Databricks Developer, you will play a crucial role in architecting and building highly scalable data pipelines using PySpark/Scala within the Databricks Lakehouse Platform.

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, and schema evolution for complex public health datasets.
  • Optimize 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 optimization, 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.
  • Mandatory 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 modeling 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 analyze complex requirements and design resilient solutions in a highly regulated environment.

What We Offer

  • Competitive salary range of AUD 120,000 - 150,000 per year.
  • Visa sponsorship available for the right candidate.
  • Opportunity to work on impactful projects in the Government Health sector.
  • Flexible work arrangements with a remote-first approach.
  • Professional development opportunities and mentorship.
Why This Job8.5 of 10

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

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

About ai talent

Explore AI Talent careers in 2026 and discover exciting job openings across remote, hybrid, and office roles. Utilize our advanced filters to tailor your job search, access application tracking, and gain insights into companies. Stay updated with industry news and find the perfect opportunity to grow your career at AI Talent. Start your journey today and unlock your potential in the dynamic AI landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Deep expertise in building scalable data pipelines using PySpark and Scala, with a strong understanding of the Databricks Lakehouse architecture and Delta Lake features.

Proficient in Azure cloud services, particularly in managing CI/CD workflows and infrastructure as code using Terraform, enabling seamless deployment in remote work environments.

Strong analytical mindset with a focus on optimizing data integration and transformation processes to enhance public health data utilization, along with a proactive approach to adopting emerging technologies.

Learning Resources

PySpark Documentationguide

Career Path

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

Market Overview

Market Size 2024
$8.5B
Annual Growth
22.5%
AI Adoption in Data Engineering
65%
Investment in Databricks Solutions
+150%
Labour Demand for Databricks Developers
+30%
Avg Salary for Senior Databricks Developer
$130K

Skills & Requirements

Required
PySparkScalaDatabricks
Growing in Demand
Machine Learning with PySparkData GovernanceAzure Data Factory
Declining
Hadoop MapReduceTraditional ETL Tools

Domain Trends

Increased Adoption of Delta Lake
Organizations are rapidly adopting Delta Lake for its ability to handle both batch and streaming data, with a reported 40% increase in usage among data engineering teams.
Shift Towards Serverless Architectures
The shift towards serverless architectures is gaining momentum, with 50% of organizations in the health sector planning to implement serverless solutions by 2025.
Focus on Data Privacy and Compliance
With stricter regulations, 70% of government health organizations are prioritizing data privacy and compliance measures, driving demand for skilled Databricks developers.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.