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Senior Java Developer, Accounting team
Build and maintain Java/Spring Boot services for a fintech accounting platform, integrating Kafka, Kubernetes, and Oracle, while collaborating across a 20+ member team.
Data Engineer I — Databricks & Azure Pipelines
Build and maintain scalable data pipelines on Azure Databricks and Delta Lake, ensuring data quality and security for analytics and AI workloads.
Data Engineering Student (4 months) - Fall 2026
Build and maintain ETL pipelines and cloud data infrastructure for large-scale datasets, collaborating with analysts and scientists to ensure data quality and availability.
Data Engineering Student (4 months) - Fall 2026
Build and maintain ETL pipelines, ensure data quality, and support analytics using cloud platforms like Azure and Hadoop for a large Canadian retailer.
Hybrid Data Engineer: Spark/PySpark & HDFS Expert
Senior hybrid role building and maintaining data pipelines with PySpark, Spark, and HDFS, plus SQL and user support for analytics teams.
Lead Java Developer (e-commerce)
Lead a Java team building e-commerce or consumer platforms; drive architecture, code reviews, and AI-driven features in Spring/Kotlin ecosystems.
Data Engineering Specialist
Designs and scales data infrastructure for a financial data marketplace, building automated pipelines to ingest, clean, and process large volumes of structured and unstructured data using Python, SQL, and Spark.
Data Engineer
Build and scale data pipelines and platforms for a regulated AI fintech, using Spark, Snowflake, Kafka, Airflow, and Kubernetes to power analytics and product use cases.
Sr Data Engineer
Build and maintain ETL/ELT pipelines, SQL queries, and Python programs to transform financial and insurance data at scale for RBC Insurance’s enterprise analytics.
Big Data Engineer
Designs and builds scalable data pipelines and ETL processes using AWS, Snowflake, Spark, and Python/Scala for a large enterprise.
Data Engineer
Builds and scales data pipelines, warehouses, and BI dashboards for e-commerce and retail clients using AWS, Spark, Airflow, and SQL.
Data Engineer (PySpark)
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Data Engineer
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, and SQL on AWS.
DEVOPS ENGINEER
Build and maintain AWS serverless pipelines: Glue ETL, Lambda integrations, DynamoDB writes, API Gateway endpoints, and CI/CD with CDK and Git.
Data Engineer, Investments
Design and maintain scalable data pipelines on Google Cloud for investment analytics, using BigQuery, Dataproc, and Prefect to enable AI-driven financial reporting and decision-making.
DevOps Engineer
Build and maintain CI/CD pipelines, Kubernetes clusters, and monitoring for a trading-risk platform used by a large US bank, working with Linux, Docker, GitLab, and Python.
Senior Data Engineer
Design and build scalable data pipelines and modern data platforms on Azure for enterprise clients, focusing on ETL/ELT, data modeling, and analytics to support AI and business intelligence initiatives.
Associate, Data Engineer
Build and maintain scalable data pipelines and cloud-native platforms to power AI and analytics for investment banking and global markets using Spark, Kafka, and cloud services.
Data Engineer
Build and maintain data pipelines using Python, PySpark, and Databricks on AWS to support energy-sector analytics and reporting.
AWS Data Engineer
Designs and maintains scalable ETL pipelines and data models using Python, PySpark, and cloud platforms to process large financial datasets for capital markets clients.