Build and optimize scalable data pipelines and cloud-based data solutions using Python, PySpark, SQL, and Snowflake. Integrate REST APIs and external data sources, develop ETL/ELT workflows, optimize Snowflake queries, and implement data quality, validation, monitoring, and automation. Collaborate with engineering and analytics teams to deliver reliable data platforms.
Job Description
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Job Description:
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
- Integrate REST APIs and external data sources into Snowflake-based data platforms.
- Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
- Develop efficient SQL queries and optimize Snowflake performance.
- Implement data quality, validation, monitoring, and automation.
- Collaborate with engineering and analytics teams to deliver reliable data solutions.
Required Qualifications:
- 3+ years of experience in Data Engineering.
- Strong hands-on expertise in Python, PySpark, SQL, and Snowflake.
- Experience with REST APIs, JSON, and API-based data integration.
- Knowledge of ETL/ELT processes, data modeling, and data warehousing.
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Leads strategic finance for Commerce go-to-market, partnering with revenue leaders on annual planning, forecasting, performance management, investment analysis, resource allocation, and commercial strategy. Builds driver-based financial models connecting sales and operational metrics to financial outcomes, evaluates investments across commercial functions, prepares executive materials, and manages finance team members.
Top Skills:
AIPythonSQL
Big Data • Fintech • Mobile • Payments • Financial Services
Build and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.
Top Skills:
AWSKotlinKubernetesMySQLPythonReactVue
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own and evolve Babylist’s AWS infrastructure, Kubernetes platform, Terraform IaC, CI/CD systems, observability, and developer tooling. Build secure infrastructure defaults, automate operational workflows, improve reliability and recovery readiness, define SLOs, support incident response, and lead cross-team platform initiatives. The role also mentors engineers and provides hands-on support across local, staging, and production environments.
Top Skills:
Amazon EksAmazon RdsAWSCdnCi/CdCircleCICloud NetworkingCronitorDatadogDnsGithub ActionsInfrastructure As CodeKubernetesLoad BalancersMySQLPagerdutyRedisRubyRuby On RailsSentrySidekiqTerraform
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
