Design and build complex ETL/ELT pipelines for structured and unstructured data sources using GCP native services like Cloud Storage, Dataflow, and Dataproc, Data Integration & ETL/ELT
Build and orchestrate automated data pipelines using Fivetran, Google DTS, and custom ETL/ELT frameworks
Create robust ingestion patterns for batch and streaming data
Troubleshoot data integration issues, latency problems, and pipeline failures
Partner with application teams to integrate SaaS, on-prem, and cloud sources
Requirements
Bachelor’s degree in computer science, Information Systems, or related field.
Senior specialist in data engineering focused on WebOps and web analytics, responsible for building and maintaining data infrastructure, dashboards, and visualization solutions for Google stakeholders.
Responsibilities
Develop data infrastructure to support Google stakeholders
Partner with business and enablement teams to create visualization solutions
Oversee and review development of data infrastructure
Act as subject matter expert and quality auditor for Data Engineers
Design and lead development of innovative data solutions
Requirements
Nice to have: intermediate to expert proficiency with GCP
Nice to have: building and maintaining relationships with key stakeholders
Nice to have: identifying and capitalizing on technical improvement opportunities
Nice to have: acting as a technical liaison between business teams and Engineering
Nice to have: supervising design of new data products
Lead a high-performing team of Data Engineers and Web Analytics Engineers to design and optimize scalable data warehouses and pipelines on Google Cloud Platform.
Responsibilities
Lead, mentor, and code‑review a team of Data Engineers and Web Analytics Engineers
Oversee end‑to‑end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT)
Act as the hands‑on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow
Own the integrity and scalability of distributed data processing systems within GCP
Architect technical translation of high‑level business requirements into scalable AI and data solutions
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field
Nice to have: Google Cloud Platform (GCP) or similar large‑scale distributed data infrastructure
Nice to have: AI toolkits such as ADK, Anti Gravity, Vertex AI Agent Engine
Nice to have: Data warehouses tailored for business performance management
Seeking a Senior Data Analyst with expertise in SQL and data validation to ensure accuracy of enterprise data. The role involves validating data pipelines, ETL processes, and Tableau dashboards while mentoring junior analysts.
Responsibilities
Validate data pipelines, ETL processes, semantic models, and Tableau dashboards
Ensure business metrics are accurate and reliable
Investigate data issues and perform root cause analysis
Senior technical leader responsible for designing, implementing, and operating the university’s enterprise Lakehouse and Data & AI platform, leading data engineering, governance, and analytics enablement initiatives.
Compensation
$133,000.00 - $148,000.00
Responsibilities
Lead design, implementation, and optimization of enterprise data engineering capabilities
Modernize data pipelines, Lakehouse architecture, and data products
Guide migration and modernization efforts including Redshift-to-Databricks transitions
Lead AI/BI dashboard and semantic model development
Implement data quality, governance, and security frameworks
Requirements
Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: 8+ years of progressive experience in enterprise data engineering
Nice to have: Experience as Senior Data Engineer or similar senior technical role
Nice to have: Experience in enterprise data modernization, Lakehouse transformation, AI enablement
We are seeking a highly motivated Senior Specialist, Reporting & Data Stewardship to support the delivery of enterprise reporting, analytics, data governance, and data stewardship across Colleague Services and Operations Risk & Resilience.
Responsibilities
Act as a trusted reporting and analytics partner for senior stakeholders across Colleague Services and Operations Risk & Resilience.
Partner with business leaders to understand strategic and operational reporting requirements.
Translate business requirements into scalable data, reporting, and dashboard solutions.
Facilitate workshops, requirements gathering sessions, and stakeholder reviews.
Present insights and recommendations to leadership audiences in a clear and compelling manner.
Requirements
Bachelor's/College Degree
Nice to have: Experience within Colleague Services, Shared Services, Operations, Risk, or Resilience domains
Nice to have: Knowledge of AI, Copilot, machine learning, or predictive analytics solutions
Nice to have: Exposure to Agile delivery methodologies
Nice to have: Experience working within global organisations and matrix environments
Client Data Analyst supporting broker- and client-facing teams in the Insurance Marketing & Distribution organization, developing tools and analytics for underwriting strategy and strategic projects.
Responsibilities
Work in a big data environment, providing analysis, metrics, and reports that support the client management framework.
Understand relevant data from our systems and perform the required analyses.
Develop complex SQL scripts to retrieve data from strategic systems.
Develop tools based on stakeholder requirements that can be used by other teams and regions.
Gather qualitative and quantitative data and use advanced analytics and forward-looking insights to deepen understanding of client and broker portfolios and produce actionable business recommendations.
Requirements
University degree or relevant professional experience in data administration and analysis
The Senior Power BI & Data Analyst transforms complex commercial, operational and financial data into actionable insights that support strategic decisions, revenue growth, profitability and operational efficiency.
Responsibilities
Design and maintain enterprise Power BI dashboards, reports and semantic models.
Build advanced DAX measures, Power Query transformations and dimensional models.
Integrate ERP, CRM, finance and supply chain data; implement row-level security and refresh monitoring.
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