This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves owning critical data pipelines end to end, from ingestion through transformation to production delivery, while also helping manage cloud infrastructure and DevOps operations. - Migrate existing PySpark pipelines to Ibis / DuckLake on the Ascend Gen3 platform - Build and maintain disease-state-specific measures pipelines - Build and maintain the cross-tenant benchmarks pipeline - Build and maintain an Echo NLP pipeline that extracts structured data from unstructured echocardiogram narrative text - Work across the full pipeline lifecycle: design, implementation, testing, deployment, and monitoring - Expand test coverage and improve testing harnesses and related infrastructure - Fix noisy and flaky test suites that generate false positives - Add new test types, including browser-based tests and full pipeline validation runs - Help establish a testing culture where tests are meaningful, not ceremonial - Manage Azure cloud infrastructure - Interface with the MSP on business and technical issues - Implement and maintain Infrastructure as Code using Bicep / Terraform - Enforce RBAC and least-privilege access policies - Monitor and optimize cloud costs - Improve and automate data ingestion, movement, and recovery processes - Build toward reliable, rollback-capable release cadences - Reduce manual operational steps - Make data operations more observable and repeatable - Use AI coding tools such as Claude Code, Cursor, or similar in daily workflow - Contribute to an AI-forward engineering culture focused on faster iteration, better code quality, and stronger testing Qualifications - 7+ years of data engineering or platform engineering experience - Deep Python and SQL proficiency - Experience with PySpark - Ideally experience with Ibis or other dataframe abstraction layers - Experience with DuckDB - Experience working at a healthcare SaaS startup - Azure cloud experience, or strong AWS / GCP experience with the ability to ramp quickly - Experience with Kubernetes and Docker - Experience with data quality frameworks such as Great Expectations, dbt tests, or similar - Active, proficient use of AI coding tools in daily work - Self-directed working style with the ability to identify problems and solve them without constant direction Requirements - Healthcare data experience, including clinical registries, HIPAA, or Safe Harbor de-identification - Experience with DuckLake - Experience with Ascend.io or similar pipeline orchestration platforms - Experience collaborating with offshore engineering teams across time zones - Experience with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation Benefits - Fully remote, US-based role - Small team, high impact - Work that directly affects how hospitals improve patient care - Direct access to the CTO - Influence over architectural decisions

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Professional (Remote). As a key driver in our analytical team, you'll play a vital role in interpreting complex datasets that influence public behavioral health and healthcare research. Your contributions will directly impact the quality of life for individuals by helping formulate strategies based on data analysis. You will collaborate in diverse and innovative teams, fostering an environment that embraces flexibility while tackling significant challenges in data analytics. Together, we will work towards creating a more equitable world through data-driven insights. - Apply knowledge in modern data management and analytical technologies to manage, visualize, and analyze various datasets. - Support the stewardship and analysis of government data focused on public health and behavioral health. - Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development. - Collaborate with team members to lead development and implementation of QA/QC protocols for coding and data projects. Qualifications - Bachelor degree + 5 years experience, Master degree + 3 years experience, PhD + 0 years experience. - Experience in a data-focused field, preferably with degrees in informatics, statistics, public health, or related areas. - Ability to obtain and maintain public trust access for information systems. - Strong skills in statistical, data analytics, and data management languages: R, Python, SAS, and SQL. - Skill in version control software (git) and development of best practices. - Critical thinker with strong communication skills and commitment to continued skill development. - Ability to handle tasks such as digitizing forms, automating workflows, and building dashboards. Benefits - Flexible work hours that allow for work-life balance. - Access to a diverse and collaborative team environment. - Opportunities for continuous learning and professional growth. - Contributing to meaningful work that impacts public health and societal issues. - Remote work flexibility with supportive company culture.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Professional (Remote). As a key driver in our analytical team, you'll play a vital role in interpreting complex datasets that influence public behavioral health and healthcare research. Your contributions will directly impact the quality of life for individuals by helping formulate strategies based on data analysis. You will collaborate in diverse and innovative teams, fostering an environment that embraces flexibility while tackling significant challenges in data analytics. Together, we will work towards creating a more equitable world through data-driven insights. - Apply knowledge in modern data management and analytical technologies to manage, visualize, and analyze various datasets. - Support the stewardship and analysis of government data focused on public health and behavioral health. - Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development. - Collaborate with team members to lead development and implementation of QA/QC protocols for coding and data projects. Qualifications - Bachelor degree + 5 years experience, Master degree + 3 years experience, PhD + 0 years experience. - Experience in a data-focused field, preferably with degrees in informatics, statistics, public health, or related areas. - Ability to obtain and maintain public trust access for information systems. - Strong skills in statistical, data analytics, and data management languages: R, Python, SAS, and SQL. - Skill in version control software (git) and development of best practices. - Critical thinker with strong communication skills and commitment to continued skill development. - Ability to handle tasks such as digitizing forms, automating workflows, and building dashboards. Benefits - Flexible work hours that allow for work-life balance. - Access to a diverse and collaborative team environment. - Opportunities for continuous learning and professional growth. - Contributing to meaningful work that impacts public health and societal issues. - Remote work flexibility with supportive company culture.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role provides a high-impact opportunity to architect and implement Customer Data Platform (CDP) solutions that enable clients to leverage their data for business growth and customer engagement. You will work closely with cross-functional teams—including data engineers, analysts, and digital marketers—to design scalable, secure, and governed CDP implementations. - Architect and implement scalable CDP solutions tailored to client needs, focusing on data governance, security, and activation. - Assess and audit existing marketing technology stacks and data pipelines to identify opportunities for improvement. - Translate business requirements into detailed technical specifications and design documentation. - Lead technical delivery and provide guidance to data engineering and cross-functional teams. - Ensure integration of data protection measures and compliance with GDPR, CCPA, and other privacy standards. - Collaborate with multidisciplinary teams—including data scientists, marketers, and consultants—to drive CDP adoption and value realization. - Promote information security awareness and enforce best practices for data management throughout the organization. Qualifications - 5+ years architecting and building data pipelines; at least 3 years in an agency or consulting environment. - Bachelor’s degree in Computer Science, Data Science, Analytics, or related field. Requirements - Hands-on experience with Adobe Experience Platform RTCDP (schema creation, identity resolution, data ingestion, destination activation); familiarity with Adobe Tags/WebSDK; strong API knowledge; experience with cloud platforms (AWS, GCP, Azure); exposure to data warehouse solutions (Snowflake, Redshift, BigQuery); knowledge of marketing automation and data visualization tools is a plus. - Strong consulting and client-facing abilities; excellent communication and collaboration skills; ability to guide technical teams and influence stakeholders. Benefits - Competitive salary and performance-based incentives - Flexible remote work options within the United States - Comprehensive healthcare including medical, dental, and vision - Paid time off and flexible scheduling for work-life balance - Opportunities for professional development and certification - Exposure to leading-edge CDP, cloud, and marketing technologies - Collaborative and inclusive work culture fostering learning and innovation