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Data Engineer - Mid
Builds and maintains data pipelines and databases to enable real-time analytics for insurance pricing models, collaborating with business leaders to drive profitability and growth in Property & Casualty insurance products.
Junior Data Engineer
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
Senior Test Engineer (UK)
Senior Test Engineer designing AI-first quality engineering frameworks using Playwright, TypeScript, and AI agents to automate testing, ensure data integrity, and mentor teams on responsible AI adoption in clinical trial software.
Proposal Solution Architect
Designs secure, scalable federal IT solutions bridging client needs and technical execution, focusing on cloud modernization, cybersecurity, AI, and compliance for government contracts.
Data & Analytics Engineer (12-Month Contract)
Builds and maintains data pipelines/models, ensures data quality, and mentors juniors while collaborating with cross-functional teams to support self-service analytics using techniques like data vault and dimensional modeling.
Analytics Engineer (OVA5693)
Builds and maintains scalable data models, pipelines, and APIs for a fintech firm, translating business needs into governed datasets while mentoring junior engineers.
Senior Security Engineer - Splunk
Designs and optimizes Splunk deployments for federal clients, focusing on threat detection, security analytics, and compliance monitoring in large-scale enterprise environments.
Data & Analytics Engineer
Builds and maintains data models, pipelines, and governance frameworks for a financial services firm, translating business needs into scalable data solutions while mentoring junior engineers.
Senior Data Engineer
Designs and builds Spark-based data pipelines for SWIFT’s Gold layer Data Warehouse, ensuring enriched, reliable datasets for payments analytics. Focuses on ETL, data quality, and collaboration with business teams to support global fintech operations.
Data Engineer
Build and maintain Mettler-Toledo’s central data platform using Databricks, Snowflake, and Python to power analytics and AI across the company.
Senior Data Engineer
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
Data Platform Engineer — AI/ML & Lakehouse
Designs and maintains a scalable data platform for analytics, AI/ML, and data distribution, ensuring quality, security, and cross-functional collaboration with data scientists and business teams.
Senior Data Engineer
Designs and builds a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains.
Senior Data Analyst, GTM Analytics
A Senior Data Analyst who translates complex GTM questions into actionable insights for Sales, Marketing, and Client Success, using SQL, dbt, Salesforce, and AI to build scalable analytics and automate workflows in a fast-paced, BI-as-code environment.
Geospatial Data Engineer – Hybrid Contract
Build and maintain geospatial applications for a federal climate and energy program, ensuring data quality and security in a hybrid Canberra office.
Data Engineer Test Job
Build and maintain ETL/ELT pipelines, data models, and AI-ready datasets for an insurance tech platform using cloud data tools and Python/SQL.
Senior Data Engineer — Cloud Data Pipelines & AI Enablement
Build and maintain cloud data pipelines in Snowflake and Databricks, ensuring clean, governed data for analytics and AI features while collaborating with data scientists and BI teams.
Senior Data Engineer
Designs, builds, and maintains cloud-based data pipelines and infrastructure for a FinTech wealth management platform, focusing on Airflow, Python/SQL, and Azure/Kubernetes. Ensures scalability, reliability, and operational efficiency for financial data workflows.