Loopback Analytics

Data Engineer

• Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across diverse sources and environments
• Develop and manage ETL/ELT processes within cloud-based data platforms (e.g., Snowflake, Databricks)
• Own and maintain data transformation logic, codebases, and supporting documentation
• Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases
• Ensure data reliability, integrity, and performance to meet client and application SLA requirements
• Manage evolving data ingestion formats across Health Systems, Life Sciences, and Enterprise partner ecosystems
• Drive automation and continuous improvement of data workflows to reduce manual effort and increase efficiency
• Implement data quality checks, monitoring, and validation processes
• Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions
• Develop and promote best practices in data engineering, data modeling, and pipeline design
• Conduct data profiling and support testing efforts in partnership with QA and DevOps teams

DevOps Engineer

• Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable).
• Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python.
• Develop tagging and cost-allocation frameworks to support chargeback and forecasting models.
• Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing.
• Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost-per-job on Databricks.
• Support monthly budget reviews and identify trends, anomalies, and optimization opportunities.
• Manage governance policies for resource provisioning and cost alerts.
• Partner with Information Security to ensure FinOps practices and cost controls align with SOC2 and HIPAA compliance requirements.
• Provide insights into FinOps maturity and recommend process improvements.

Cloud Operations Engineer

Operations

FinOps Engineer

Account Manager

• Own end-to-end implementation and execution of Network Solutions engagements, from planning through delivery
• Lead the development and management of project plans, timelines, and cross-functional workstreams
• Track progress, assess risks, and proactively troubleshoot issues and coordinate resolutions to ensure successful outcomes
• Lead ongoing life sciences client expectation management and communications, including regular check-ins, status updates, and the planning and facilitation of quarterly business reviews
• Serve as a key liaison with health system partners for limited distribution network opportunities, collaborating with client success teams to facilitate enrollment and onboarding, ensure ongoing compliance with network participation requirements, and lead health system engagement efforts
• Support a range of Network Solutions initiatives typical of an incubator environment, including new solution development and partnership development

Partnership Manager

• Design and build data pipelines for collecting, processing, and storing healthcare clinical data, and continuously improve them.
• Collaborate with data scientists, data integration specialists, analysts, and other stakeholders to understand data requirements and translate them into scalable solutions.
• Implement data validation, cleansing, and transformation processes to ensure data accuracy and consistency.
• Proactively monitor and troubleshoot pipeline performance, identifying and resolving issues before they become problems.
• Ensure data security and compliance with industry regulations, including HIPAA.
• Partner with the DevOps team to deploy and manage data pipeline infrastructure in our Azure cloud environment.
• Evaluate and adopt emerging tools, frameworks, and techniques that can improve our data platform: bring recommendations, not just questions.
• Leverage AI-assisted development tools and modern engineering workflows to accelerate delivery and improve code quality.

Data Engineer

Cloud Operations Engineer

FinOps Engineer

Partnership Manager

Senior Data Engineer