We’re looking for a talented and ambitious backend engineer with 5+ years of experience in developing distributed pipelines who’s excited to solve one of the toughest challenges in healthcare—financial data interoperability.
Compensation
The base pay range for this role is $150,000–$275,000 per year.
Responsibilities
Drive the architecture, design, and implementation of complex pipelines for AI agents and data ingestion sources
Develop and scale our data integration infrastructure to connect seamlessly with a variety of healthcare systems
Solve interoperability challenges to help healthcare practices recover lost revenue and understand their financial health
Work closely with the engineering and product teams to improve onboarding speed and build a robust data strategy
Actively contribute to building the team’s architectural vision and technical roadmap
The Senior IT Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security measures.
Responsibilities
Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.
Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.
Implement advanced data governance frameworks and ensure robust data security measures.
Optimize cloud costs by strategically using cloud resources and efficient data architectures.
Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.
Senior Data Engineer responsible for designing, building, and maintaining scalable data platforms on Google Cloud.
Responsibilities
Implement the design and architecture of scalable, resilient, and high-performance data platforms on GCP
Implement data engineering best practices, including data modeling, pipeline orchestration, and data governance
Develop solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems
Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks
Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage
Intermediate level Applications Development Programmer Analyst responsible for application systems analysis and programming activities.
Responsibilities
Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
Identify and analyze issues, make recommendations, and implement solutions
Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
Analyze information and make evaluative judgements to recommend solutions and improvements
Conduct testing and debugging, utilize script tools, and write basic code for design specifications
Requirements
Bachelor’s degree/University degree or equivalent experience
Build and maintain data pipelines, models, and integration services to support Amazon’s seller trust initiatives.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Responsibilities
Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.
Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Nice to have: AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles and permissions
Develop quantitative models, data visualizations, and machine learning solutions to support business decision-making within BMO’s financial services.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop predictive models and machine learning algorithms
Create data visualizations, reports, and interactive dashboards
Extract, integrate, and automate data workflows using APIs
Analyze large datasets to uncover patterns and trends
Provide data-driven recommendations to business leaders
Requirements
Master's degree in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or related discipline
PhD in related discipline
Nice to have: Machine learning in financial services
Nice to have: Cloud-based analytics platforms
Nice to have: Advanced quantitative research methods
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Responsibilities
Build and maintain backend data infrastructure for analytical and visualization platforms
Translate business problem statements into technical data requirements
Automate and optimize reporting processes for self-service analytics
Develop measurement frameworks and metrics for deal execution performance
Ensure data quality through monitoring, validation, auditing, and documentation
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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