Senior Data Engineer

Posted 15 days agoViewed

View full description

💎 Seniority level: Senior, 7+ years

📍 Location: Canada, PST, CST, MST, EST

🔍 Industry: Fintech

🏢 Company: Coinme👥 51-100💰 $772,801 Seed over 2 years agoCryptocurrency Blockchain Bitcoin FinTech Virtual Currency

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: PythonSQLAgileETLMachine LearningSnowflakeTableauApache KafkaData engineeringData visualizationData modeling

Requirements:

7+ years of experience with ETL, SQL, PowerBI, Tableau, or similar technologies
Strong understanding of data modeling, database design, and SQL
Experience working with Apache Kafka or MSK solution
Extensive experience delivering solutions on Snowflake or other cloud-based data warehouses
Proficiency in Python/R and familiarity with modern data engineering practices
Strong analytical and problem-solving skills
Experience with machine learning (ML)

Responsibilities:

Design, develop, and maintain scalable data pipelines.
Implement data ingestion frameworks.
Optimize data pipelines for performance.
Develop and deliver data assets.
Evaluate and improve existing data solutions.
Experience in data quality management.
Collaborate with engineers and product managers.
Lead the deployment and maintenance of data solutions.
Champion best practices in data development.
Conduct code reviews and provide mentorship.
Create and maintain process documentation.
Monitor data pipelines for performance.
Implement logging, monitoring, and alerting systems.
Drive the team’s Agile process.

Apply

Related Jobs

Apply

🔥 Senior Data Engineer

Posted 5 days ago

📍 Worldwide

🔍 Hospitality

🏢 Company: Lighthouse

🔧 Requirements

4+ years of professional experience using Python, Java, or Scala for data processing (Python preferred)
You stay up-to-date with industry trends, emerging technologies, and best practices in data engineering.
Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
Ship large features independently, generate architecture recommendations and have the ability to implement them
Great communication: Regularly achieve consensus amongst teams
Familiarity with GCP, Kubernetes (GKE preferred), CI/CD tools (Gitlab CI preferred), familiarity with the concept of Lambda Architecture.
Experience with Apache Beam or Apache Spark for distributed data processing or event sourcing technologies like Apache Kafka.
Familiarity with monitoring tools like Grafana & Prometheus.

💡 Responsibilities

Design and develop scalable, reliable data pipelines using the Google Cloud stack.
Optimise data pipelines for performance and scalability.
Implement and maintain data governance frameworks, ensuring data accuracy, consistency, and compliance.
Monitor and troubleshoot data pipeline issues, implementing proactive measures for reliability and performance.
Collaborate with the DevOps team to automate deployments and improve developer experience on the data front.
Work with data science and analytics teams to enable them to bring their research to production grade data solutions, using technologies like airflow, dbt or MLflow (but not limited to)
As a part of a platform team, you will communicate effectively with teams across the entire engineering organisation, to provide them with reliable foundational data models and data tools.
Mentor and provide technical guidance to other engineers working with data.

PythonSQLApache AirflowETLGCPKubernetesApache KafkaData engineeringCI/CDMentoringTerraformScalaData modeling

Posted 5 days ago

Apply

🔥 Senior Data Engineer - Data Services

Posted 6 days ago

📍 Worldwide

🧭 Full-Time

🔧 Requirements

NOT STATED

💡 Responsibilities

Own the design and implementation of cross-domain data models that support key business metrics and use cases.
Partner with analysts and data engineers to translate business logic into performant, well-documented dbt models.
Champion best practices in testing, documentation, CI/CD, and version control, and guide others in applying them.
Act as a technical mentor to other analytics engineers, supporting their development and reviewing their code.
Collaborate with central data platform and embedded teams to improve data quality, metric consistency, and lineage tracking.
Drive alignment on model architecture across domains—ensuring models are reusable, auditable, and trusted.
Identify and lead initiatives to reduce technical debt and modernise legacy reporting pipelines.
Contribute to the long-term vision of analytics engineering at Pleo and help shape our roadmap for scalability and impact.

SQLData AnalysisETLData engineeringCI/CDMentoringDocumentationData visualizationData modelingData analyticsData management

Posted 6 days ago

Apply

🔥 Senior Data Engineer (AS)

Posted 13 days ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Strong hands-on experience with Python and core Python Data Processing tools such as pandas, numpy, scipy, scikit
Experience with cloud tools and environments like Docker, Kubernetes, GCP, and/or Azure
Experience with Spark/PySpark
Experience with Data Lineage and Data Cataloging
Relational and non-relational database experience
Experience with Data Warehouses and Lakes, such as Bigquery, Databricks, or Snowflake
Experience in designing and building data pipelines that scale
Strong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholders
Experience working effectively in a fast-paced, agile environment as part of a collaborative team
Ability to work independently and as part of a team
Willingness and enthusiasm to learn new technologies and tackle challenging problems
Experience in Infrastructure as Code tools like Terraform
Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems

💡 Responsibilities

Work with business stakeholders to understand their goals, challenges, and decisions
Assist with building solutions that standardize their data approach to common problems across the company
Incorporate observability and testing best practices into projects
Assist in the development of processes to ensure their data is trusted and well-documented
Effectively work with data analysts on refining the data model used for reporting and analytical purposes
Improve the availability and consistency of data points crucial for analysis
Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and Integration with reporting endpoints
Revamping orchestration and execution to reduce critical data delivery times
Database archiving to move data from a live database to cold storage

AWSSQLCloud ComputingData AnalysisETLData engineeringData visualizationData modeling

Posted 13 days ago

Apply

🔥 Senior Data Engineer

Posted 20 days ago

📍 Canada, United Kingdom, India

🧭 Full-Time

🔍 Software Development

🏢 Company: Loopio Inc.

🔧 Requirements

5+ years of experience in data engineering in a high-growth agile software development environment
Strong understanding of database concepts, modeling, SQL, query optimization
Ability to learn fast and translate data into actionable results
Experience developing in Python and Pyspark
Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)
Strong understanding of relational databases (RDS, MySQL) and NoSQL
Experience with ETL & Data warehousing, building fact & dimensional data models
Experience with data processing frameworks such as Spark / Databricks
Experience in developing Big Data solutions (migration, storage, processing)
Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow)
Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc)
Experience working with Clickstream data (Amplitude, Pendo, etc)
Experience building and supporting large-scale systems in a production environment
Strong communication, collaboration, and analytical skills
Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation)
Ability to clearly communicate technical roadmap, challenges, and mitigation

💡 Responsibilities

Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards the growth of our business and the reliability of our data
Promote data-driven decision-making across the organization through data expertise
Build advanced automation tooling tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations.
Integrate various data sources into our Data lake, including clickstream, relational, and unstructured data
Developing and maintaining a feature store for use in analytics & modeling
Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)
Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making
Build scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies
Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks delta lake)
Orchestrate pipelines using workflow frameworks/tooling

AWSPythonSQLData AnalysisETLJenkinsMachine LearningAirflowData engineeringNosqlSparkCommunication SkillsAnalytical SkillsCollaborationCI/CDData visualizationData modeling

Posted 20 days ago

Apply

🔥 Senior Data Engineer

Posted 27 days ago

📍 Canada

🧭 Full-Time

🔍 Data Engineering

🏢 Company: Vantage👥 1001-5000 Cryptocurrency Financial Services FinTech Trading Platform

🔧 Requirements

5+ years of experience in data engineering, big data, or distributed systems.
Strong expertise in Python, SQL (or equivalent big data processing frameworks).
Proficiency in ETL/ELT pipelines using Apache Airflow, or similar orchestration tools.
Experience working with real-time streaming data (Kafka, Kinesis, or Pub/Sub).
Strong understanding of data modelling, data warehousing, and distributed systems.
Familiarity with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use cases.

💡 Responsibilities

Design, develop, and optimize data pipelines, ETL/ELT workflows, and data warehouses to support large-scale retail media analytics.
Handle real-time and batch processing at scale
Work closely with data scientists, analysts, software engineers, and product teams to ensure seamless data integration and access.
Implement robust monitoring, validation, and security controls to maintain high data reliability.

PythonSQLApache AirflowETLKafkaData engineeringData modeling

Posted 27 days ago

Apply

🔥 Senior Data Engineer/Scientist

Posted 29 days ago

📍 United States, Canada

🧭 Full-Time

💸 105825.0 - 136950.0 CAD per year

🔍 Data Engineering

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

BS degree in Computer Science, Statistics, Engineering, or a related quantitative discipline
6+ years experience in a data engineering and data science-focused role
Proficiency in data manipulation and processing in SQL and Python
Expertise building data pipelines with new API endpoints from their documentation
Proficiency in building ETL pipelines to handle large volumes of data
Demonstrated experience in designing data models at scale

💡 Responsibilities

Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured and highly sensitive data
Access, manipulate, and integrate external datasets with internal data
Building analytical and statistical models to identify patterns, anomalies, and root causes
Leverage SQL and Python to shape and aggregate data
Incorporate generative AI tools (ChatGPT Enterprise) into production data pipelines and automated workflows
Collaborate closely with data scientists, data analysts, and Tableau developers to ship top quality analytic products
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

PythonSQLETLTableauAPI testingData engineeringData scienceSparkCommunication SkillsAnalytical SkillsData visualizationData modeling

Posted 29 days ago

Apply

🔥 Senior Data Engineer - Delivery team

Posted about 1 month ago

📍 United States, Canada

🔍 Software Development

🏢 Company: Overstory👥 1-10 E-Commerce

🔧 Requirements

Approximately 5 years of experience in Data Engineering with at least one experience in a startup environment
Product-minded and able to demonstrate significant impact you have had on a business through the application of technology
Proven experience of data engineering across the following (or similar) technologies: Python, data orchestration platforms (Airflow, Luigi, Dagster, etc…), data quality frameworks, data lakes/warehouses
Ability to design and implement scalable and resilient data systems
Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
Passion for learning and staying updated with evolving technologies and industry trends

💡 Responsibilities

Owning day-to-day operational responsibilities of deliveries our analysis to the customers
Developing data-driven solutions to customer problems that our products aren’t solving for yet
Building new and improving existing technologies such as:
Automation of the analysis for all customers, leading to faster implementation of Overstory’s recommendations
Metrics to identify what are the time bottlenecks in the current flow of analysis, therefore helping all Overstory teams identify areas of improvements
Visualization of status and progress of the analysis for internal use
Working on performance & scalability of our pipelines ensuring that our tech can handle our growth

PythonSQLCloud ComputingGCPAmazon Web ServicesData engineeringCommunication SkillsAnalytical SkillsRESTful APIsData visualizationData modeling

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

💸 113000.0 - 130000.0 USD per year

🔍 Software Development

🏢 Company: Later👥 1-10 Consumer Electronics iOS Apps Software

🔧 Requirements

Minimum of 5 years in data engineering or related fields
Bachelor’s degree in Computer Science, Engineering, or related field
Strong focus on building data infrastructure and pipelines

💡 Responsibilities

Design and build a robust data warehouse architecture
Design, build, and maintain scalable data pipelines
Develop reliable transformation layers and data pipelines
Establish optimized data architectures using cloud technologies
Enforce data quality checks and governance practices
Collaborate with cross-functional teams to deliver insights
Analyze and optimize data pipelines for performance

SQLData engineering

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 Worldwide

🧭 Full-Time

💸 167471.0 USD per year

🔍 Software Development

🏢 Company: Float.com

🔧 Requirements

Expertise in ML, expert systems, and advanced algorithms (e.g., pattern matching, optimization) with applied experience in Scheduling, Recommendations, or Personalization.
Proficient in Python or Java and comfortable with SQL and Javascript/Typescript.
Experience with large-scale data pipelines and stream processing (e.g., Kafka, Debezium, Flink).
Skilled in data integration, cleaning, and validation.
Familiar with vector and graph databases (e.g., Neo4j).

💡 Responsibilities

Lead technical viability discussions:
Develop and test proof-of-concepts for this project.
Analyse existing data:
Evaluate our data streaming pipeline: Y
Lead technical discussions related to optimization, pattern detection, and AI, serving as the primary point of contact for these areas within Float.
Develop and implement advanced algorithms to enhance the Resource Recommendation Engine and other product features, initially focused on pattern detection and optimization.
Design, implement, and maintain our streaming data architecture to support real-time data processing and analytics, ensuring data integrity and reliability.
Establish best practices and standards for optimization, AI, and data engineering development within the organization.
Mentor and train team members on optimization, AI, and data engineering concepts and techniques, fostering a culture of continuous learning and innovation.
Stay updated with the latest trends and related technologies, and proactively identify opportunities to incorporate them into Float's solutions.

PythonSQLKafkaMachine LearningAlgorithmsData engineering

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

🔍 B2B SaaS

🏢 Company: Sanity👥 51-200💰 Corporate almost 3 years agoSoftware Development

🔧 Requirements

4+ years of experience building data pipelines at scale
Deep expertise in SQL, Python, and Node.js/TypeScript
Production experience with Airflow and RudderStack
Track record of building reliable data infrastructure

💡 Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines
Collaborate to implement and scale product telemetry
Establish best practices for data ingestion and transformation
Monitor and optimize data pipeline performance

Node.jsPythonSQLApache AirflowETLTypeScript

Posted about 1 month ago

Apply