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Data Engineer
Build and optimize data pipelines for research data egress/ingress, ensuring high availability and integration with AI tooling in a financial services environment.
Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)
Build and optimize ETL/ELT pipelines using SQL, Snowflake/Databricks, DBT, and Airflow to support analytics and data governance in a wealth-tech environment.
Lead Data Engineer
Lead the design and maintenance of Snowflake-based data infrastructure for RBC, building scalable ETL pipelines and models that power enterprise reporting and self-service analytics in Power BI.
Specialist, Data Engineering
Designs and maintains cloud-based data pipelines, ETL/ELT processes, and governance frameworks using GCP/AWS/Azure, SQL, Python, and Collibra to ensure secure, scalable, and well-documented data assets.
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.
Data Engineer II
Designs, builds, and maintains data pipelines and ETL jobs in Azure/Databricks to ingest, model, and govern financial data for reporting and analytics across TD’s platforms.
Senior Data Engineer
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Intermediate Data Engineer
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Principal Databricks Data Engineer
Principal Data Engineer leading the migration from Cloudera to Databricks, building scalable Lakehouse architectures for finance and risk analytics using PySpark, Delta Lake, and Medallion patterns.
Data Engineer - AML/Regulatory
Data Engineer builds and maintains AML/regulatory data pipelines using SQL, designs data quality rules, and documents lineage for a major bank.
GCP Data Engineer
Design and maintain scalable ETL pipelines on GCP using Spark Serverless, Spark on GKE, and Python, with BigQuery, CloudSQL, and Pub/Sub for data processing and governance.
Sr. GCP Data Engineer
Designs and builds a GCP-based data lake and warehouse for healthcare analytics, focusing on clinical data standards (HL7, FHIR, DICOM) and scalable ingestion pipelines using BigQuery, Dataflow, and Pub/Sub.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable Azure-based data pipelines and warehouses for a global investment firm, enabling analytics and AI use cases.
Senior Manager, Data Engineering
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
Lead Data Engineer
Lead a team to design, build, and maintain scalable ETL/ELT pipelines and cloud data platforms for a retail/e-commerce client, using Snowflake, Python, SQL, and orchestration tools like Airflow.
Data Engineering Senior Engineer
Senior Data Engineer builds scalable pipelines and models to turn connected-vehicle telemetry into insights that guide product and engineering decisions using Python, SQL, and GCP.
Senior Systems Developer/Designer (Data Engineering)
Design and build scalable cloud-native data platforms and pipelines for a property assessment organization, enabling analytics, AI, and business decision-making using AWS, Python, Spark, and modern data architectures.
Data Engineer III
Build and maintain large-scale data pipelines, ETL frameworks, and metadata systems for a major bank, ensuring data quality and compliance with enterprise standards.
Data Engineer III
Build and maintain data pipelines, ETL jobs, and data models for a large bank, ensuring data quality, governance, and compliance with enterprise standards.