Role Description Analyzing and processing provider transactions in accordance with plan provisions. - Should follow the policy and procedure which is defined by the customer. - Secure the PHI information. - Established working knowledge and application of specialized technical skills. - Understands how work impacts results for their area. - Demonstrates knowledge of internal operations and develops relationships to facilitate workflow. - Knowledge of related regulations and standards. - Strong understanding of current processes and procedures and may identify opportunities for improvement. - Completes a wide range of tasks and assignments. - Projects and assignments are typically non-routine and variable in nature. - Resolves more complex situations by applying demonstrated knowledge and skills generally acquired through job experience. Company Description

Role Description We are seeking a highly skilled engineer to play a pivotal role in both maintaining our current data infrastructure and spearheading its evolution. This position requires mastery of custom Python development, particularly with Object-Oriented principles, and expert-level SQL skills to manage and troubleshoot our bespoke ETL frameworks and data warehouse. The successful candidate will be responsible for ensuring the stability and reliability of our existing systems by diagnosing and resolving complex issues within a custom codebase. Concurrently, you will be a key technical contributor in our strategic migration to a modern, cloud-based data stack, with platforms like Snowflake and Databricks under evaluation. This role demands a high degree of autonomy and a proactive problem-solving mindset, with the ability to navigate unfamiliar or undocumented code to perform root cause analysis and implement effective solutions. As a senior member of our global team, you will work collaboratively to execute the technical roadmap for our 2026 modernization strategy, contributing to a significant technological transformation while upholding high engineering standards. Qualifications - 3–5 years of recent, hands-on experience in a Data Engineering role. - Backend Development background and previous experience. - Advanced proficiency in Python, with a deep understanding of Object-Oriented Programming and Fundamentals for building and maintaining custom ETL frameworks. - Expert-level SQL skills, including the ability to write, optimize, and troubleshoot complex queries, Stored Procedures, and Functions. - Proven ability to design, build, and maintain robust, scalable custom ETL/ELT pipelines. - Practical experience with Git-based development workflows and working within CI/CD pipelines for continuous integration and deployment. - Basic familiarity with AWS services such as EventBridge and Batch, along with experience running jobs within a Spark environment. - Demonstrated ability to autonomously deconstruct, troubleshoot, and resolve issues within complex and unfamiliar codebases. - Candidate must be comfortable with a role focused 70% on maintenance and troubleshooting of legacy systems and 30% on modernization strategy. - Proven ability to navigate, deconstruct, and implement fixes in undocumented or poorly documented custom codebases. - Experience mentoring other engineers through code reviews, technical guidance, and the promotion of engineering best practices. Requirements - Familiarity with modern data platforms such as Snowflake or Databricks. - Experience with, or a desire to learn, data orchestration and transformation tools like Airflow and dbt. - Previous experience working with legacy systems such as DB2, Denodo, or other data virtualization technologies. - General familiarity with Infrastructure as Code (IaC) principles and tools, for example, Terraform or CloudFormation. Soft Skills - Proactive Problem-Solving: Demonstrating the ability to independently analyze complex, unfamiliar, or poorly documented systems, perform root cause analysis, and implement effective solutions to ensure data pipeline reliability. - Autonomy and Ownership: Taking full ownership of technical tickets and project deliverables, working with a high degree of independence to navigate legacy codebases and drive tasks to completion in alignment with the team's modernization roadmap. - Collaborative Mentorship: Actively engaging with a global team of engineers, providing technical guidance, participating in comprehensive code reviews, and promoting engineering best practices to elevate the team's collective skill set. - Adaptability: Maintaining a positive and forward-looking mindset toward learning new technologies and methodologies, embracing the transition from legacy systems to a modern, cloud-based data stack. - Responsible AI Usage: Understanding how to leverage AI tools as a powerful supplement to enhance engineering knowledge and productivity, rather than as a replacement for fundamental problem-solving skills. Benefits - Join a powerful tech workforce and help us change the world through technology. - Professional development opportunities with international customers. - Collaborative work environment. - Career path and mentorship programs that will lead to new levels.

Role Description The Data Visualisation Officer reports to the Senior Data Visualisation Officer and is accountable for the day-to-day management of existing reporting, development and enhancement of reporting, visualising data for assigned ad-hoc requests and contributions to complex data analysis undertaken by the section. You will also be required to liaise with internal and external stakeholders to pre-empt and interpret user requirements, delivering reporting solutions that align with end user requirements. - Use Power BI to design, develop and maintain corporate and operational dashboards that support decision‑making, and meet requirements for accessibility, organisational governance, quality and security. - Engage with internal stakeholders and lead business requirements gathering activities for Power BI dashboards. - Use SQL and DAX to interrogate databases and validate Power BI data products as part of the report quality assurance process. - Undertake the Power BI administration role, including creating and administering workspaces, refresh scheduling, report certification, access controls, maintaining visibility across the Power BI tenancy, quality assurance and enforcing internal Power BI Development and Access Standards. - Contribute to the development of requirements for the Power BI Access Solution, including documenting business rules for Active Directory groups to support attribute‑based and role‑based access control (ABAC and RBAC). - Research, assess and evaluate the relevance and appropriate use of emerging visualisation tools. - Support the Reporting and Visualisation Chapter via knowledge exchange and development of materials to build workforce capability in effective data visualisation and provide guidance to emerging Power BI report developers. - Contribute to ad-hoc data requests from internal and external customers across varied subject matters including trends analysis and applicant filing behaviours. - Contribute to budget cycle processes via collaboration with Finance and IP Rights operational teams. Qualifications - End-to-end task management to develop complex Power BI reporting products for executive, operational and external audiences. - Use of SQL, DAX and M code to transform, model and analyse data. - Understand curated datasets and their relationships, application of UX, UI and design thinking to data visualisation products, and using disciplined report design to avoid unnecessary complexity. - Engage with stakeholders to gather, document and translate business requirements into clear, fit for purpose data visualisation products. - Use initiative to identify problems, navigate ambiguity, manage own time under pressure, prioritise tasks and meet deadlines. - Excellent communication and emotional intelligence skills, with the ability to work effectively across teams to collaborate on tasks and achieve results. - Understand contemporary data practices and visualisation tools, with the ability to research, assess and evaluate the relevance and appropriate use of emerging tools. - Knowledge of Australia's intellectual property system and its policy environment or the ability to quickly acquire this knowledge. Applications Close Applications close at 11:59pm on Sunday 24 May 2026.

Role Description We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data and machine learning organization and help build the pipelines, models, and infrastructure that power our analytics, machine learning, and operational data needs. In this role, you will work closely with analysts, data scientists, ML/AI engineers, and product teams to design and deliver reliable, scalable data workflows on our Databricks Lakehouse platform. A successful candidate has strong engineering fundamentals, deep knowledge of modern data architectures, and experience transforming complex datasets into high-quality, well-modeled information that drives business impact. You’re comfortable owning end-to-end pipelines, improving data quality and reliability, and collaborating across teams. You thrive in environments where you can raise the bar on engineering excellence, build repeatable processes, and mentor others. What You’ll Do - Data Pipeline Engineering: - Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks. - Implement reliable ingestion frameworks for batch and streaming data sources. - Ensure pipelines meet SLAs, data quality standards, and production-grade reliability. - Lakehouse Modeling & Architecture: - Develop robust data models across raw, curated, and semantic layers using Delta Lake. - Create dimensional models, star schemas, and domain-layer datasets for analytics and ML. - Establish and maintain standards for schema design, metadata, and lineage. - Data Quality & Observability: - Implement data validation, anomaly detection, SLAs, and documentation across pipelines. - Build automated tests, monitoring, and alerting for freshness, completeness, and accuracy. - Partner with platform teams to enhance observability and operational tooling. - Collaboration & Cross-Functional Support: - Work closely with analysts to understand business KPIs and deliver high-quality curated datasets. - Partner with ML engineers and data scientists to build reusable feature pipelines. - Collaborate with data platform engineers to optimize compute, governance, and orchestration. - Performance & Optimization: - Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance and cost. - Improve reliability, reduce technical debt, and simplify complex pipelines. - Security, Compliance & Governance: - Apply best practices for RBAC, data privacy, and PII handling using Unity Catalog. - Ensure adherence to compliance frameworks and documentation standards. - Continuous Learning: - Stay current on modern data engineering patterns, Lakehouse architecture, orchestration, and best practices. - Explore new technologies that improve reliability, scalability, and developer productivity. Qualifications - 7+ years of experience in data engineering or related roles. - Strong expertise with Python, SQL, Spark, and distributed data processing. - Hands-on experience with Databricks, Delta Lake, and Lakehouse architectures. - Deep understanding of ETL/ELT design, data modeling, and data quality practices. - Experience building scalable, production-grade data pipelines. - Experience collaborating with analytics, ML, and product teams. - Strong communication skills with the ability to clarify data requirements and explain technical decisions. Requirements - The base salary pay range for this role starts at a minimum rate of $114,900 up to the maximum of $227,000. - In addition to your base salary, you will also be eligible to participate in an incentive plan based on performance. - The target earning opportunity is 15% of your base compensation. - The final determination on base pay will be based on multiple factors including geographic location, experience, and qualifications. Benefits - Competitive Compensation & Total Rewards Incentives - Comprehensive Healthcare Coverage - Multiple 401(k) Savings Plan Options - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) - Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off, and Paid Family Leave - Disability, Life, and Long Term Care Insurance - Tuition Reimbursement, Student Loan Repayment, and Training & Certification Support - Wellness support including gym membership reimbursement and Employee Assistance Program resources - Caregiver and Mental Health Support Services