“Spark SQL” jobs in Canada – Page 18

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• 29d

  Senior Data Engineer

  Toronto, ON

  $103k–$153k/yrFull Time

  HO

  Healthcare of Ontario Pension Plan Trust Fund Company

  7+ YOECandidates need 7+ years of data engineering experience, including 3+ years building production data solutions on AWS. They need strong SQL and Python, hands-on Snowflake and AWS data-stack experience, and exposure to unstructured data and AI data patterns.

  AWS, Snowflake, Amazon S3, AWS Glue, AWS Lambda, Amazon Athena

• 29d

  Sr. Strategist, SEO & AI Discovery

  Toronto, ON

  Full Time

  DI

  Dentsu International Americas, LLC

  3+ YOEDentsu International Americas, LLC needs candidates with 3+ years of progressive SEO experience, strong technical SEO skills, and hands-on use of GSC, GA4, Screaming Frog and similar tools. Candidates also need working knowledge of AI Search, client-facing communication skills, and the ability to manage multiple workstreams.

  Google Search Console, GA4, Screaming Frog, Sitebulb, Ahrefs, SEMRush

• 29d

  Credit Tech senior Manager

  Toronto, ON

  Full Time

  

  PricewaterhouseCoopers LLP

  Candidates need proven experience delivering credit risk technology and model programs, hands-on work with credit risk platforms, and strong skills in Python, R, SQL and Spark. Strong leadership, communication and stakeholder engagement abilities are also required.

  FICO, Databricks, Google Cloud, Microsoft Azure, AWS, SAS

• 29d

  Senior Data Engineer

  Remote in Canada

  RemoteFull Time

  CD

  Crown DK CAN Ltd.

  3+ YOECandidates need a bachelor's degree in computer science or a related field, or equivalent experience, and at least 3 years building scalable data platforms. Strong Python, SQL and streaming experience is needed, along with cloud platform skills, preferably AWS.

  Kafka, Databricks, Snowflake, AWS, Terraform, PagerDuty

• 29d

  Consultant Conversion - Software Eng III : Job Level - Director

  Montréal, QC

  Full Time

  MS

  Morgan Stanley Svcs Canada Co

  5+ YOE5+ ans d'expérience en développement Java; 3+ ans avec Scala et Apache Spark sur plateformes big data; Expertise en DevOps, CI/CD et tests automatisés

  Java, Scala, Apache Spark, DB2, SQL Server, PostgreSQL

  29d

  Full Stack Developer – Data Engineering (Hybrid) / Développeur(euse) Full Stack – Ingénierie des données (hybride)

  Montréal, QC

  Full Time

  MS

  Morgan Stanley Svcs Canada Co

  4+ YOE4+ ans d'expérience en bases de données et développement Full Stack; Expertise en Java/Spring Boot, Python et Angular; Maîtrise de plusieurs plateformes de bases de données

  Java, Spring Boot, Python, Angular, Apache Spark, Talend

• 29d

  Senior Data Engineer

  Vancouver, BC

  Full Time

  LI

  Ledcor Industries Inc.

  6+ YOECandidates need a bachelor's degree, 6+ years of data engineering experience and 5+ years of data modeling, including 3NF and dimensional modeling. They also need strong Python, PySpark and SQL skills and hands-on cloud data platform experience.

  Databricks, PySpark, Azure Databricks, Delta Lake, Unity Catalog, Databricks Asset Bundles

• 29d

  Manager, Product Management- Data Products

  Toronto, ON

  $157k–$180k/yrFull Time

  CO

  Capital One Canada

  5+ YOECapital One Canada needs candidates with at least 5 years of product management experience and a record of delivering customer-centric, data-driven strategy with clear business impact. Strong analytical skills in SQL, Python or R and an understanding of data processing patterns are also needed.

  SQL, Python, R, Spark, GraphQL

• 29d

  Intermediate Machine Learning Engineer

  Markham, ON

  

  Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise

  2+ YOECandidates need a bachelor's degree in a related field and 2 to 4 years of machine learning engineering experience. They should know Python, SQL, AWS or Snowflake, Linux, Docker and Jenkins.

  Python, Pandas, NumPy, scikit-learn, XGBoost, AWS

• 29d

  Director, Data Science

  Vancouver, BC +1

  Full Time

  CM

  Canada: Mastercard Technologies Canada ULC

  Candidates need an advanced degree (Master's or PhD preferred) in data science, machine learning or a related field, plus extensive experience leading data science teams. They also need a proven record of deploying machine learning models in production, strong Python and SQL skills, and Agile delivery experience.

  Python, SQL, Databricks, Spark

  29d

  Senior AI Engineer

  Vancouver, BC

  Full Time

  CM

  Canada: Mastercard Technologies Canada ULC

  Candidates need a bachelor's degree or equivalent practical experience, plus hands-on experience building agentic AI systems and working with generative AI and LLMs. They also need strong Python and SQL skills, experience deploying models to production, and experience with cloud environments and distributed data tools such as Databricks or Spark.

  Git, Jenkins, Maven, Artifactory, Databricks, Spark

• 29d

  Principal Data Scientist

  Toronto, ON

  Full Time

  ET

  Ethoca Technologies Canada

  Candidates need a master's degree (PhD preferred), proven experience leading data science teams and delivering enterprise AI solutions, and hands-on skill in machine learning, NLP and generative AI. Strong Python, SQL, Spark and cloud experience, plus work in regulated industries, is also required.

  Python, Scikit-learn, PyTorch, TensorFlow, SQL, Spark

• 29d

  Data Scientist II

  Burnaby, BC

  Full Time

  RC

  Remitly Canada Operations, Inc.

  3+ YOECandidates need 3+ years using SQL and Python or R for analysis and machine learning, dashboard skills in Tableau, Power BI or Mode, and experience designing and analysing experiments. A degree in data science, statistics, mathematics or operations research, or equivalent experience, is required.

  SQL, Python, R, Tableau, Power BI, Mode

  29d

  Program Manager - Technical, Fraud Program

  Burnaby, BC

  Full Time

  RC

  Remitly Canada Operations, Inc.

  5+ YOERemitly Canada Operations, Inc. needs candidates with at least 5 years of program management experience, ideally in fraud, trust and safety or risk. Candidates need a bachelor's degree or equivalent experience, strong Excel and basic SQL skills, and familiarity with fraud detection systems.

  Excel, Google Workspace, SQL

• 29d

  Full Stack Engineer (Java/React)

  Remote in Canada

  $90k–$125k/yrRemoteFull Time

  AA

  ANQ Autoniq LLC

  4+ YOECandidates need 4+ years of Java Spring Boot and 3+ years of React, Angular or Vue experience. They also need strong SQL skills, ETL experience, AWS knowledge, CI/CD and Docker/Kubernetes familiarity, and U.S. work authorization.

  Java Spring Boot, React, PostgreSQL, AWS, Docker, Kubernetes

• 29d

  Senior Cloud Data Architect

  Canada

  KG

  Kepler Group

  Candidates need strong Python and SQL skills, hands-on experience with Google Cloud and BigQuery, and experience building ETL/ELT pipelines and API integrations. Strong client communication and mentoring experience are also required.

  Google Cloud, BigQuery, Google Marketing Platform, Python, SQL

  29d

  Senior Analyst Data Solutions

  Canada

  KG

  Kepler Group

  3+ YOECandidates need 3-5 years in digital analytics, professional Google Analytics experience, and advanced SQL with Google BigQuery. Strong presentation, visualization and leadership skills are also required.

  Google Analytics, Google Tag Manager, BigQuery, Adobe Analytics, Tableau, Power BI

• 29d

  Senior Data Engineer

  Vancouver, BC

  $135k–$143k/yrHybridFull Time

  

  Match Group

  5+ YOECandidates need 5+ years of professional experience with SQL, data modelling, lakehouse architecture and Python. Experience with Redshift, Airflow, Databricks, Spark and relational databases is expected, along with strong communication skills.

  Redshift, Airflow, AWS QuickSight, Databricks, Spark, SQL Server

• 29d

  AI Engineer

  Toronto, ON

  HybridFull Time

  

  Patlytics, Inc.

  Candidates need experience shipping LLM-powered features to real users, strong Python and backend skills, and a solid background in ML methods and cloud deployment on AWS or GCP. Familiarity with SQL, Pandas, Sklearn or Spark is expected.

  Python, SQL, Spark, Pandas, Sklearn, AWS

• 29d

  Data Scientist II

  Toronto, ON +1

  HybridFull Time

  

  Scribd, Inc.

  4+ YOECandidates need 4+ years of experience building and deploying machine learning models in production, strong Python skills, and experience with distributed data tools like Spark. A quantitative bachelor's or master's degree is also required.

  Python, Spark, PySpark, Databricks, SQL, Scikit-learn

• 29d

  Applied Scientist, Pro Growth

  Toronto, ON +1

  RemoteFull Time

  

  Thumbtack

  3+ YOECandidates need a master's degree in a quantitative field or equivalent industry experience, and 3+ years as an applied scientist or ML engineer. They also need strong machine learning, statistics and causal inference skills, plus Python, SQL and experience with distributed systems.

  Spark, Databricks, Python, SQL, OpenAI, Anthropic Claude

• 29d

  AI & Automation Engineer (Enterprise)

  Waterloo, ON +2

  RemoteFull Time

  

  Magnet Forensics

  4+ YOECandidates need 4+ years building automation, integration or AI-enabled solutions, hands-on coding in at least one language, and experience with enterprise business systems. They also need strong process analysis skills and the ability to explain technical work to non-technical colleagues.

  Salesforce, NetSuite, Jira Service Management, Microsoft 365, Copilot, Claude

• 29d

  Staff Engineer - Experimentation Platform

  Kitchener, ON +1

  $191k–$262k/yr

  F

  Faire

  Candidates need extensive software engineering experience building experimentation or analytics platforms, especially in marketplace or e-commerce settings. They need deep knowledge of A/B testing and progressive delivery, and strong SQL skills.

  Eppo, Snowflake, Databricks, Anomalo, Airflow, Spark

  29d

  Staff Data Infrastructure Engineer

  Kitchener, ON +1

  $216k–$297k/yr

  F

  Faire

  Candidates need deep experience running data infrastructure at scale, including change data capture, streaming ingestion, lakehouse architectures on open table formats, and Spark. They must also have strong SQL, Python, and AWS and Terraform skills, plus a track record of leading cross-team data initiatives.

  Kafka, Apache Iceberg, Snowflake, Databricks, Apache Spark, Airflow

19 companies