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Senior IT Business Analyst, Data Lab
Senior IT Business Analyst at Intact’s Data Lab, defining IT solutions for data-driven insurance projects, analyzing needs, and bridging business and technical teams using SQL, Snowflake, and Oracle.
Data Engineer II
Designs and builds scalable data pipelines, warehouses, and lakes using cloud and traditional tools to enable analytics and automation for an insurance carrier.
Data Engineer - Senior/Lead
Build and optimize data pipelines, warehouses, and feature stores that power AI-driven CRM insights using SQL, Python, Spark, and Airflow.
Technical Architect 8
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
Internship Data Engineer - FanDuel (3 months), Hybrid
Build and maintain data pipelines and ETL processes for a sports-betting platform, working with SQL, Python, and agile teams.
Senior Bioinformatics Analyst
Senior Bioinformatics Analyst at St. Jude Children’s Research Hospital analyzes genetic data to uncover modifiers of sickle cell disease outcomes using statistical genetics, GWAS, and bioinformatics tools.
Principal Staff Engineer, AI Platform Research, Data Science (Remote)
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Sr Analyst, Data Platform Engineering
Senior Analyst builds and maintains Snowflake data pipelines, curates enterprise data layers, and enables AI agents like Claude and ChatGPT across United Rentals’ analytics ecosystem.
Sr Business Intelligence Developer
Senior BI developer designs and implements enterprise-scale analytics solutions using Tableau, Power BI, SQL, and ETL pipelines to deliver data-driven insights for an aerospace and defense contractor.
Senior Product Manager, Marketing Data & Technology
Owns the Braze marketing platform, vendor evaluations, and data integrations to drive personalized customer engagement and regulatory compliance.
Data Engineer II
Build and optimize high-volume data pipelines using Spark, Redshift, and Airflow to power analytics and AI-driven insights for Ookla’s internet performance datasets.
Customer Data Analyst
Analyzes customer data to generate insights that improve service delivery and customer experience using SQL, Python, and BI tools.
Data Analytics Engineer
Build and maintain data pipelines, SQL queries, and dashboards in BigQuery and dbt to turn raw data into insights for a privacy-first SaaS analytics company.
Data Analyst
Analyze SaaS business data to build dashboards and reports, translate trends into business decisions, and own the data warehouse pipeline using SQL, Python, and dbt.
Lead Data Engineer
Lead a team to design scalable data pipelines and data lake solutions, mentor engineers, and drive architectural decisions for Lowe’s enterprise systems using SOA, REST/SOAP services, and CI/CD practices.
Senior Business Intelligence Analyst
Designs and builds governed BI, conversational analytics, and AI-driven insights using Tableau, Looker, and BigQuery to enable self-service reporting and decision support for business teams.
Senior Data Engineer (10–12 Years' Experience Required)
Senior Data Engineer designing and building cloud-based data pipelines and data models on GCP (BigQuery, Composer, Cloud Functions) to integrate business data into the enterprise data warehouse for a large food company.
Manager/Lead - Data Engineer
Lead a team of data engineers to design and build cloud-based data pipelines on GCP, integrating business data into a data warehouse to deliver actionable insights for a global food company.
Lead Data Architect
Lead the design of scalable data pipelines and modern data architecture at General Mills, partnering with engineers and analysts to enable data-driven decisions using cloud platforms and tools like BigQuery, dbt, and Dataflow.
Data Engineer II (7–12 Years' Experience Required)
Designs and builds GCP-based ETL pipelines and data warehouses using SQL, Python, and BigQuery to integrate business data for analytics and insights.