Senior Full Stack Developer (NV1 Required)

Large Federal Government Organisation
Location: Sydney (Hybrid)
Rate: $900 - $1,100 per day (contract)

A large Federal Government organisation responsible for national interest programs is seeking a Senior Full Stack Developer to extend and support an internal analytics and decision-support platform used by operational, analytical and technical teams.

The environment involves complex data pipelines, high-trust access controls, and information used to support planning and operational decision-making. The focus is on reliability, clarity of data access, and correctness, not rapid commercial feature delivery.

You will work as part of a small multidisciplinary team including data engineers, platform engineers, analysts and operational stakeholders.

Primary Focus of the Role

This role is centred on the data processing layer, the compute layer, and the mechanisms analysts use to interact with structured datasets within a controlled environment.

Responsibilities

Data Processing and Services

Build and maintain Python services for data retrieval, transformation and analysis.

Expose structured data access via FastAPI for internal systems, analytical notebooks and dashboards.

Optimise performance, caching and query execution for both real-time and batch workloads.

Storage and Analytical Access

Work with ClickHouse or similar analytical databases to support high-volume, high-selectivity querying.

Shape schemas and queries for fast and interpretable analytical access.

Support ETL workflows in Azure Synapse and maintain data lineage and integrity.

Platform Interoperability

Integrate compute and storage components with identity and access controls aligned to NV1 conditions.

Contribute to workflows where Palantir Foundry is used for collaborative modelling or cross-dataset analysis.

Maintain stable interfaces and clear data contracts across services and teams.

Interface and Visual Interpretation

When needed, implement minimal, functional UI components using TypeScript (SvelteKit/React/Vue).

Produce analysis-ready visualisations using D3.js, Apache ECharts or similar tools.

Prioritise interpretability and correctness over presentation aesthetics.

Engineering Discipline

Participate in peer review with an emphasis on correctness, clarity and traceability.

Produce documentation that supports audit, continuity and controlled handover.

Work directly with data scientists and operational users to validate assumptions and edge conditions.

Contribute to incremental improvements in deployment, testing and release practices.

Required Skills and Experience

Core Technical

Strong Python in production systems.

Experience building FastAPI or equivalent Python API services.

Understanding of REST, distributed service boundaries, and data access layers.

Experience with ClickHouse or similar analytical storage engines.

Practical SQL (schema, indexing, query optimisation).

Proficiency in TypeScript/JavaScript for targeted UI or tooling development.

Experience with Azure, CI/CD pipelines, and Docker-based deployments.

Data and Analytical Environment

Comfortable working with large, structured datasets.

Able to collaborate with data scientists and interpret analytical requirements.

Experience producing interpretable visualisations using D3.js, Apache ECharts or similar.

Integration and Interoperability

Understanding of identity and access management in secure environments.

Experience with or awareness of workflows involving Palantir Foundry.

Ability to maintain clear and stable data interface boundaries.

Security and Compliance

NV1 security clearance is essential.

Able to work within controlled data environments with traceable change controls.

Familiarity with the ISM or similar government security frameworks.

Professional Practice

Structured, precise approach to implementation.

Communicates clearly across engineering and analytical domains.

Works independently while maintaining alignment with architectural direction.

Produces documentation intended for continuity and verification.

Desirable

Experience in secure Federal Government, defence, intelligence or regulated sectors.

Familiarity with operational, critical infrastructure or national-security data workflows.

Exposure to model evaluation or analytical query patterns.

Relevant Azure or full stack engineering certifications.

Engagement

Sydney based

Hybrid workplace arrangement

$900 - $1,100 per day, depending on experience

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