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Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the…
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and…
Technical lead shaping Vanguard Europe's data and analytics platforms: designing and building scalable data pipelines and lakehouse products on Databricks, PySpark, SQL, and AWS (Glue, Lambda), with Delta Lake/Unity Catalog governance and Terraform CI/CD, while mentoring data engineers and driving engineering standards.
Senior Data Engineer for a digital marketing analytics firm, fully remote, designing and maintaining scalable ETL/ELT pipelines, cloud data warehouses and lakes. Core stack: AWS/Azure/GCP data services, Redshift/Snowflake/BigQuery, strong SQL, and Python or Java, with 6+ years of data engineering experience.
TekRek (a staffing partner) is hiring a Staff Data Platform Engineer in Toronto for a high-growth product company behind a modern telematics API. Day to day: own the petabyte-scale data platform — real-time streaming/batch pipelines, storage, enrichment and observability — using Java, Spring Boot, Kafka/Flink/Kinesis, Spark and Iceberg/Delta on AWS.
Senior Data Engineer at Sun Life's Canadian Operations designs, builds, and maintains scalable data pipelines and ETL on AWS (Glue, Kafka, Step Functions), creates data models and warehouse solutions for analytics, ensures data quality and compliance, and mentors other data engineers. Core stack: SQL, Python, and ETL tools like Informatica, Talend, or SSIS.
Builds and operates the data platform that turns Smart TV viewing, ad, telemetry and partner data into governed data products for Advertising, Content, Sales and Finance teams. Daily work spans AWS/Snowflake pipelines, an Iceberg lakehouse on S3, Airflow (MWAA) orchestration, SQLMesh modelling, Terraform IaC and a shared Python SDK/CLI.
Data Engineer at Covation Global / United Wheels (on-site in Miamisburg, OH) builds and maintains data pipelines, models, and integrations that power reporting, analytics, and data governance. Day-to-day work centers on SQL and Python ETL/ELT development, AWS data services (S3, Glue, Redshift, Lambda, Athena), BI support, and data quality/lineage documentation.
Lead AWS Python Developer building event-driven data ingestion pipelines with Python, PySpark, and AWS services (S3, Glue, Lambda) for applications that calculate sales channel residual payments, with reporting and AI-driven analytics. Fully onsite 5 days/week at one of four US offices; 6-month contract.
Database Architect at Synergy Business Innovation & Solutions designs and maintains enterprise databases across Oracle, SQL Server, PostgreSQL, and NoSQL platforms, leads large-scale data migrations, tunes performance, and builds GitLab-based CI/CD database pipelines. Requires 7+ years' experience, US citizenship, and a Top Secret clearance or ability to obtain one.
Data Engineer on TP ICAP's Surveillance Technology team in Belfast, building and maintaining AWS data pipelines that feed trade and communications surveillance platforms (Scila, Global Relay). Day-to-day involves ETL/ELT pipeline development with Python/Java, SQL, Airflow/dbt/Spark, infrastructure-as-code with Terraform/CDK, plus data quality checks, monitoring, and reconciliation.
Senior Data Engineer at Jacobs' Data & Digital team, designing, building and maintaining cloud data platforms and ETL/ELT pipelines on AWS and Azure for clients in government, defence and regulated industries. Day-to-day work spans PySpark and Python/Java, SQL on Athena/Redshift/Synapse, data quality checks, and Git/CI-CD DevOps practices.
Machine Learning Engineer at Wave (financial software for small businesses) who builds, trains, and deploys ML models and scalable pipelines/platforms into production. Core stack is AWS (SageMaker, Spark/Glue), Terraform, Airflow orchestration, and MLOps tooling like MLflow/Kubeflow, with a focus on governance, observability, and cost-efficient ML systems.
Senior principal data architect at ABC Fitness (fitness-club management software) defining enterprise data architecture on AWS and Databricks Lakehouse — hands-on with data models, pipelines, governance, and mentoring data engineers. Requires 10+ years in data engineering/architecture plus SQL, Python, and deep AWS/Databricks experience.
Senior data architect/modeler building scalable data models, a centralized data store, and APIs for NOAA Fisheries' regional offices and science centers. Day-to-day work spans modernizing legacy databases, tuning production schemas, and prototyping cloud solutions across SQL Server, Oracle, NoSQL, Snowflake, and AWS/Azure data services.
Cloud Engineer building, operating, and automating AWS GovCloud infrastructure for a federal education program at Tripoint Solutions. Day-to-day spans infrastructure as code (CloudFormation/Terraform), Salesforce/MuleSoft and AWS Glue integrations, IAM/KMS security, CI/CD automation, and RMF/STIG compliance support. US citizenship and an adjudicated background investigation are required.
Senior (12+ years) data engineer building scalable data pipelines, data lakes, and warehouses on AWS (S3, Glue, Lambda, Redshift) for banking and financial services clients, including migrating IBM Netezza code to an AWS data lake. Full-time, onsite in Toronto.
Senior Python engineer doing hands-on data engineering: designing, building, and maintaining efficient data pipelines, data models, and analytics solutions with Python libraries (Pandas, NumPy, PySpark, Boto3), strong SQL/RDBMS skills, AWS data services, and warehouse/ETL tools like Snowflake, Databricks, and Airflow — working with client teams via a staffing firm, fully remote.
Designs, builds, and maintains end-to-end batch and near-real-time data pipelines and curated datasets on AWS (Glue, S3, Redshift, Athena, EMR) using SQL, Python/PySpark, dbt, and Airflow, with data quality checks, monitoring, and production support for enterprise analytics. Sydney-based; telco experience desirable.