Top Data Engineer Jobs in Calgary

As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies such as Databricks, TiDB, and Kafka. This remote position in Canada and the U.S. involves driving high-impact data engineering projects, collaborating with cross-functional teams, and ensuring data quality and scalability.

As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies like Databricks, TiDB, and Kafka. Responsibilities include driving high-impact data engineering projects, optimizing performance of data solutions, collaborating with stakeholders, and ensuring data quality and reliability.

As a Data Engineer at Outschool, the role involves leading data modeling and system design for the product and data backends. Responsibilities include building data models for analytical, operational, and customer-facing purposes, ensuring data quality and validity, and integrating data sources into an effective platform.

Sphera is seeking a Software Engineer with 1-3 years of experience to join their SpheraCloud engineering team. The role involves working on a SaaS application to help companies achieve their ESG goals by utilizing technologies like Scala, Hadoop, and Akka.

Seeking a Senior Data Engineer to work on collecting, storing, processing, and analyzing huge sets of data. Responsibilities include building data pipelines, creating integration pipelines, working with databases, and implementing process improvements. Must have 2+ years of experience with cloud-native production systems on AWS, strong Python and SQL coding skills, and experience with data cleansing and ETL workloads.

As a Data Engineer at Shift4, you will architect, build, and deploy applications and data systems for the Mission Control Center. Responsibilities include utilizing data tools like SQL and Pyspark, building APIs, configuring writebacks and webhooks, and creating automated workflows. Qualifications include 5+ years of data engineering experience and a Bachelor's degree in a relevant field.

Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using the Apache Hadoop ecosystem and working on Machine Learning pipelines. Responsible for developing scalable code, managing batch pipelines, and leveraging GCP for big data processing. Requires strong communication skills and ability to solve complex problems independently.

Design modular and scalable real time data pipelines, implement architectural improvements for big data ML pipelines, work on microservice architectures, implement custom ML algorithms, and design scalable distributed systems for StackAdapt's digital advertising platform.

Rill Data is seeking a Data Engineering Lead who will have a direct impact on Rill and its customers by implementing the data infrastructure, leading a team of data engineers, and driving implementations of customer data pipelines. The ideal candidate will have experience in designing and managing enterprise-level database systems, working with high volume and high velocity data, and using tools like Python, Scala, SQL, Apache Flink, Apache Beam, Apache Spark, DBT, Airflow, Snowflake, BigQuery, Redshift, HIVE, and Apache Kafka.

Building data pipelines, text analysis algorithms, and decision-making engines. Optimizing data-intensive applications and implementing machine learning pipelines. Working with Spark, S3, Timescale, Python, and Rust. Experience in building and deploying data applications is required.

Seeking a Senior Big Data Engineer with expertise in developing batch processing systems using Oozie, Airflow, and Apache Hadoop ecosystem on GCP. Responsibilities include scalable code development, data workflows management, and automation practices. Requires strong programming skills, GCP experience, and proficiency in cloud services. Must have Google Associate Cloud Engineer Certification and 5+ years of relevant experience in customer-facing roles and cloud migrations.

As a Staff Data Engineer at Northbeam, you will work with a cross-functional team to build, maintain, and scale data pipelines for marketing attribution in the direct-to-consumer space. Responsibilities include integrating data sources, designing APIs, and mentoring team members. The role requires expertise in Python, SQL, and Linux/UNIX, along with 6-8 years of experience in a startup environment.

As a Staff Data Engineer at Fortis Games, you will play a key role in shaping the technical vision and implementation of the data platform. Responsibilities include building and enhancing data infrastructure, ensuring low latency and scalability, driving data quality improvements, and collaborating with cross-functional teams to support business growth.

Senior Data Engineer role at Quantiphi in Canada, responsible for managing digital customer interaction channels, optimizing workflows, developing real-time solutions, implementing integrations using AWS Lambda, managing backend integrations with databases, and building scalable solutions using AWS services.

As a Senior Data Migration Engineer, you will oversee the migration of data to Google Cloud Platform, analyze data structures, design migration strategies, ensure data integrity and security, provide technical guidance, optimize processes, and document best practices. Strong technical skills in GCP services, data migration tools, database technologies, and scripting languages are required. You will also define and implement cloud-based solutions, following best practices and enterprise architecture guidelines.

Experienced Data Architect responsible for designing and implementing robust data solutions using Snowflake platform. Collaborate with stakeholders to align data architecture with business objectives. Optimize performance and ensure data integrity and security. Evaluate and adopt new technologies to enhance data management capabilities.