The Enterprise Data Platform team is looking for a Principal Data Engineer to help revolutionize how we think about and deliver customer insights, playing an important role in the future success of the company.
Locations (2)
United States
Ontario, Canada
Compensation
$137,800—$172,250 USD
Responsibilities
Architecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery
Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine
Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc
Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.
Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills
Requirements
Bachelor or Master’s degree in Computer Science, Information Technology or Equivalent
Nice to have: semantic layers (Cube, dbt Semantic Layer)
Design, develop, implement, optimize, and support enterprise-scale database solutions across Relational and NoSQL database platforms.
Compensation
Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Responsibilities
Own and drive the complete database development lifecycle, from initial requirements gathering through design, development, testing, deployment, optimization, and ongoing enhancements.
Collaborate with business stakeholders, application teams, and solution architects to translate functional and non-functional requirements into robust database solutions.
Design and develop conceptual, logical, and physical data models for Relational and NoSQL database platforms.
Implement database solutions across PostgreSQL, Oracle, SQL Server, Db2 LUW, Cassandra, and Couchbase.
Perform proactive and reactive database performance tuning across relational and NoSQL platforms.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
Seeking an experienced Software Engineer (Level 3 or Level 4) to support the development, integration, and deployment of AI-enabled capabilities within secure Intelligence Community (IC) mission environments.
Compensation
Salary is dependent upon the candidate’s experience and qualifications.
Responsibilities
Design, develop, maintain, and enhance enterprise software applications and services that leverage AI/ML technologies, LLMs, RAG, vector search, and agentic workflows
Develop and integrate AI-enabled capabilities into existing mission systems and analyst workflows to support cyber data triage, vulnerability analysis, and decision-making
Design, develop, and deploy AI/ML models and tools supporting data mining, predictive analytics, knowledge discovery, and process automation
Develop Python-based applications, backend services, RESTful APIs, and automated data processing solutions
Integrate AI/ML applications into secure cloud-based architectures, ensuring interoperability with existing enterprise systems
Requirements
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline
Seasoned Power BI Developer & Analytics Engineer with strong technical and business acumen to deliver high-impact dashboards and BI solutions for mission-critical data initiatives.
Responsibilities
Design and develop interactive dashboards using Power BI for internal and external stakeholders
Translate business requirements into data-driven solutions that support decision-making
Build and optimize SQL queries and stored procedures to support reporting infrastructure
Implement embedded BI solutions for client-facing applications using Power BI Embedded
Manage dashboard performance, usability, and data integrity through QA and continuous improvements
Support and maintain Rhapsody, .NET-based applications and infrastructure, troubleshoot and automate, and guide modernization of legacy systems for public health data exchange.
Responsibilities
Support and troubleshoot existing .NET applications and Windows-based infrastructure
Develop and maintain scripts and tools using PowerShell and SQL
Assist in planning and strategic direction of modernization initiative
Evaluate and recommend modern technologies and tools for disease surveillance and data infrastructure
Collaborate with internal teams to assess architecture and recommend improvements
Support and maintain existing Rhapsody, .NET-based applications and infrastructure, assist with troubleshooting and automation, and guide modernization efforts for legacy systems related to disease surveillance and public health data exchange.
Responsibilities
Support and troubleshoot existing .NET applications and Windows-based infrastructure
Develop and maintain scripts and tools using PowerShell and SQL
Assist in the planning and strategic direction of a modernization initiative involving legacy systems and data integration
Evaluate and recommend modern technologies and tools to support disease surveillance and data infrastructure modernization
Collaborate daily with internal teams to assess current architecture and recommend improvements
Support and troubleshoot existing .NET applications and Windows-based infrastructure. Develop and maintain PowerShell and SQL scripts and tools.
Configure, monitor, and troubleshoot Rhapsody interfaces. Maintain and improve HL7 message routing, transformations, and mappings.
Manage and improve public health data exchange among the Division of Public Health (DPH), the Centers for Disease Control and Prevention (CDC), and external organizations. Coordinate with CDC, hospitals, and laboratories.
Troubleshoot and maintain the NEDSS Base System (NBS), implement upgrades and new modules, and maintain NBS Utilities and the ELR data store.
Help plan the modernization of legacy disease surveillance and data integration systems. Evaluate and recommend technologies and tools to support the effort.
Support Idaho's public health teams on timely, accurate disease surveillance data, maintaining Rhapsody and .NET applications, and modernizing legacy platforms.
Locations (2)
Boise, Idaho, United States
Idaho, United States
Responsibilities
Configure, monitor, and troubleshoot Rhapsody interfaces
Maintain and improve HL7 message routing, transformations, and mappings
Manage data exchange between external organizations, the Division of Public Health, and the CDC
Troubleshoot the NEDSS Base System (NBS) and implement upgrades
Maintain ancillary tools including NBS Utilities and the ELR data store
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