This page tracks remote data engineer openings that are location-eligible for Idaho.
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Role Description Responsável pelo desenvolvimento, implementação e manutenção de soluções de dados escaláveis, confiáveis e de alta performance. Irá projetar e construir pipelines de dados, garantindo a integração, segurança e confiabilidade de dados de diversas fontes para atender às necessidades de aplicações internas e externas, bem como para suportar análises avançadas e a tomada de decisão estratégica da empresa. - Realizar a ingestão/Integrar dados de diversas fontes (bancos de dados relacionais e NoSQL, APIs de serviço interno e externos, arquivos e outros) e garantir a qualidade e consistência dos dados. - Implementar soluções de armazenamento de dados (Data Warehouses, Data Lakes) e otimizar o desempenho de consultas e processamento de dados. - Projetar, desenvolver e manter pipelines de dados (ELT) robustos e eficientes, utilizando as melhores práticas de engenharia de dados. - Garantir que todo o processo de ELT esteja funcionando por meio de monitoramento e métricas como SLA. - Monitorar a execução do ELT hospedados na nuvem e on-premises. - Disseminação de boas práticas de Devops e Dataops no time. - Colaborar com as equipes para fornecer soluções de dados que atendam às necessidades do negócio. - Documentar processos, arquiteturas e soluções de dados. Qualifications - Experiência em alguma linguagem de programação (Python, SQL, Spark). - Experiência com ambiente Linux. - Experiência com sistemas de controle de versão como GitHub, GitLab, Bitbucket, etc. - Conhecimento em algoritmos e estrutura de dados. - Interesse pela área de engenharia de dados. - Inglês intermediário. - Conhecimento básico com processamento de dados na nuvem (AWS, GCP, Azure, Snowflake, Databricks). Requirements - Formação em TI (Sistemas de Informação, Ciência da Computação, Engenharias, e afins). - Conhecimento básico do funcionamento de Data Warehouses como Google Bigquery, Redshift e/ou Snowflake. - Certificação em plataforma de nuvem pública (AWS, Azure, GPC) a nível Foundational ou equivalente. - Experiência com aplicações de data pipelines (Airflow, Dagster, etc). - Conhecimento de frameworks de processamento distribuído (Spark, Hadoop, Dask, etc). - Conhecimento básico em dbt. Benefits - Gestão moderna, transparente e inclusiva. - Ambiente dinâmico, aberto à inovação e criatividade. - Cultura orientada a dados (Data-driven). - Autonomia e engajamento. - Atmosfera leve e descontraída com foco em desafios. - Ambiente de alto crescimento (Escalonamento acelerado). - Trabalho remoto e horários flexíveis. - Plano de carreira estruturado. - Cultura de feedback e crescimento (avaliações de onboarding de 45/90 dias e ciclos de desempenho semestrais). - Programa de Mentoria para suporte dedicado durante o onboarding. - Time experiente e colaborativo. - Projetos de alto impacto. - Metodologias ágeis e equipes multidisciplinares. - Aulas semanais gratuitas de conversação em inglês. - Programa de Certificação (suporte financeiro total e recompensas por desempenho). - Oportunidades de tutoria na Indicium Academy. - Iniciativas internas como "Tech Tracks" e "Databloggers". - Escritórios globais em Florianópolis, São Paulo, Nova York, Lisboa e Londres. - Lanches e bebidas no escritório. - Programa de pontos e recompensas. - Zenklub. - Day off de aniversário. - Happy hours semanais e noites de jogos (remotos e presenciais). - Wellhub (antigo Gympass). - Plano de Saúde Bradesco. - Cartão Flash (benefícios flexíveis - total de R$ 1.350,00). - Bônus anual (baseado em desempenho). - Programa de Indicação (R$ 250 por contratação bem-sucedida). - Licença maternidade estendida (6 meses).
SQA is an Equal Opportunity Employer. Employment is based on merit and qualifications, and is not influenced by race, color, religion, gender, national origin, veteran status, disability, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Role Description We are seeking a detail-oriented Operations & Data Coordinator to support program operations, data management, and workflow coordination across multiple service lines including Inspection (INSP), Audit (AUD), and Engineering (ENG). This role will focus heavily on Google-based tools and systems management, ensuring data accuracy, process compliance, and event coordination across 25+ active programs. This is a 3 month long contract position working 40 hours a week. - Review and transfer part information from TRIX sheets into associated STEPQ events - Perform daily surveillance and validation of TRIX sheets to ensure: - Data accuracy and completeness - Timely updates and submissions - Inspector adherence to established protocols - Support data consistency efforts across 25+ programs - Assist with process improvement initiatives to reduce duplicate data entry through MICCS integration and automation opportunities - Support event and workflow management activities across Inspection, Audit, and Engineering services, including: - Creation and management of events/service requests - LTE management and tracking - Monitoring and correcting event stages: Closure/Completion, In-Progress, Escalations - Updating and assigning associated requirements and tasks Qualifications - Experience using Google Workspace tools including: - Gmail - Google Sheets - Google Docs - Google Slides - Strong attention to detail and organizational skills - Ability to manage multiple programs and priorities simultaneously - Experience with data entry, tracking systems, and workflow coordination - Comfortable working independently and following established protocols - Strong communication and follow-through skills Requirements - Experience with TRIX sheets, or similar workflow/event management systems - Familiarity with quality inspection, audit, or engineering support environments - Experience with BIM360, ACC, or Buganizer - Process improvement or systems integration experience preferred Benefits - $12.90 - $19 an hour - Actual compensation will be based on a variety of factors, including experience, skills, qualifications, and location Company Description SQA is an Equal Opportunity Employer. Employment is based on merit and qualifications, and is not influenced by race, color, religion, gender, national origin, veteran status, disability, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Role Description Staritas is seeking a Senior Manager of Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, modernization, production operations, data quality, governance, and team development. This role is ideal for a hands-on data leader who can scale modern data platforms, improve reliability, guide technical standards, and partner across Technology, Product, Analytics, Security, Operations, and business teams to deliver trusted, secure, and business-ready data capabilities. - Lead and develop a high-performing data engineering team. - Own the data engineering roadmap, delivery planning, technical standards, and platform reliability. - Partner with the CTO and technology leaders on data strategy, modernization, architecture, governance, and operating model. - Deliver scalable ELT/ETL pipelines, data warehouses, data lakes, marts, semantic layers, curated datasets, and analytical data products. - Establish standards for data modeling, orchestration, testing, documentation, code review, CI/CD, monitoring, and production support. - Improve data quality, observability, lineage, alerting, incident response, and DataOps practices. - Reduce technical debt, duplicated datasets, manual reporting, fragile integrations, and recurring production issues. - Support AI, machine learning, advanced analytics, and self-service analytics with trusted, governed, and secure data foundations. - Promote a culture of ownership, accountability, collaboration, documentation, and continuous improvement. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field; equivalent experience considered. - 10+ years of technology experience, including data engineering, data architecture, analytics engineering, integration, or enterprise data platform delivery. - 5+ years leading data engineers, analytics engineers, architects, technical leads, or similar teams. - Proven experience delivering enterprise data platforms, production data operations, technical standards, and stakeholder-facing roadmaps. - Strong experience with cloud data platforms, data warehouses, data lakes/lakehouses, data marts, APIs, integrations, and production support. - Hands-on experience building ELT/ETL pipelines. - Experience with Informatica or comparable enterprise data integration platforms. - Strong SQL skills and experience with relational, NoSQL, columnar, and analytical databases. - Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. - Knowledge of orchestration, transformation, data modeling, CI/CD, testing, observability, documentation, agile delivery, governance, metadata, lineage, data quality, and secure access. Preferred Qualifications - Experience with Informatica IDMC, PowerCenter, Data Quality, or Cloud Data Integration. - Familiarity with tools such as Spark, PySpark, Airflow, dbt, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, AWS Glue, Power BI, GitHub, GitLab, Jira, or Confluence. - Experience modernizing legacy ETL, fragmented data ecosystems, and manual reporting processes. - Experience supporting AI, machine learning, predictive analytics, or advanced analytics use cases. - Experience in regulated, compliance-oriented, SaaS, ERP, CRM, healthcare, financial, or analytics environments. Requirements - Reliable delivery of the data engineering roadmap. - Improved platform reliability, performance, security, observability, and production support. - Reduced data quality issues, manual work, duplicated datasets, and recurring defects. - Clear and adopted data definitions, lineage, documentation, governance, and access patterns. - Trusted data foundations that support analytics, reporting, operations, product intelligence, and AI. - An engaged, accountable, and growing data engineering team. Benefits - Competitive salary and performance bonus program. - Fully remote work environment. - Comprehensive benefits package including 401k match. - 19 days of PTO per year; 10 holidays per year. - Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare. - Up to 10% travel, based on business needs.
Role Description Forest Data Technicians primarily assist with forest cruise photo processing - the organization and digitization of photosets taken by our cruisers from the field. The Forest Data Technician will work closely with the Quality Assurance Coordinator to process data and produce deliverables under supervision from the Data Manager. This position is ideal for those with a flexible schedule, part-time or full-time students, or those seeking a secondary income. - Must commit 5-20 hours per week. - Comfortable with fluctuating hours (some weeks 15+ hours, some weeks 0 hours). Qualifications - Hold a high school degree or higher, with an interest in the environment. - The ability to identify tree species within your region. - Competency in the use of computers and reliable high-speed internet. - Great written and oral communication skills and time management. - Can take directions and work independently. - Able to maintain a high level of professionalism and discretion with project deliverables. - Can work effectively with team members in different time zones. Requirements - Part time, hourly contractor role (5-20hrs/wk). - Remote (must live in desired region within the US). - Starting pay ranges between $15-$18 per hour. - Hours are seasonal and dependent on when we have cruisers in the field. - More work is available in summer and fall, with winter being typically very slow (sometimes no work during given weeks if no field data is collected). Benefits - Practical experience in the rapidly growing sector of carbon credits for ecosystem services. - Flexible hours and an open work environment. - Proven commitment to mentoring early-career employees. - Networking and long-term employment opportunities.
Insmed is a global biopharmaceutical company dedicated to creating life-transforming therapies for patients with serious and rare diseases that have limited treatment options. Foun
Role Description We’re looking for a Head of Clinical Data Management to help us expand what’s possible for patients with serious diseases. Reporting to the VP, Biometrics, the Head of Clinical Data Management will serve as a strategic and operational leader responsible for overseeing all aspects of Clinical Data Management across the development portfolio, from early development through regulatory submissions and post-marketing activities. This role is accountable for the strategy, quality, consistency, and delivery of all data management activities, while advancing modern data capabilities, operational excellence, technology innovation, and scalable processes to support efficient and high-quality drug development. The ideal candidate combines deep operational expertise in clinical data management with a forward-looking mindset in technology, automation, data integration, and innovation. This role partners closely with Biometrics, cross-functional stakeholders, and external partners to ensure timely, high-quality, inspection-ready clinical data across the portfolio. What You'll Do - Define and execute the strategy for Clinical Data Management support across studies, programs, and evidence generation activities. - Be accountable for the quality, consistency, and strategic delivery of all data management activities across the portfolio, including: - CRF/eCRF design - Database build and validation - Edit check specifications - Data review and cleaning - External data integrations and reconciliations - Medical coding - Query management - Database lock activities - Submission readiness - Build, develop, and lead a high-performing Data Management organization with strong operational expertise and leadership bench strength. - Establish and maintain robust quality control and risk mitigation frameworks. - Ensure compliance with industry standards, global regulatory requirements, and internal SOPs. - Provide strategic leadership for data management systems, technologies, automation, and innovation initiatives. - Lead strategic departmental initiatives to strengthen operational excellence, standardization, inspection readiness, and continuous improvement. - Lead modernization initiatives across data management processes and capabilities. - Partner closely with Programming, Biostatistics, IT, and Digital teams. - Foster strong collaboration within Biometrics and across functions. Qualifications - Master’s degree or PhD in Life Sciences, Computer Science, Data Science, Statistics, or a related discipline. - 12+ years of progressive experience in Clinical Data Management within the pharmaceutical or biotechnology industry. - 8+ years of leadership experience managing teams, functions, and complex development portfolios. - Deep understanding of the clinical trial data lifecycle, clinical data management processes, GCP and global regulatory requirements, CDISC standards, EDC systems, external data integrations, database lock processes, and inspection readiness expectations. - Demonstrated experience leading Data Management activities for Phase 2 and Phase 3 global clinical trials. - Proven experience with modern clinical data technologies, automation, digital transformation, and innovation initiatives. - Strong experience with vendor oversight, outsourcing models, and global CRO partnerships. - Demonstrated ability to build high-performing teams and maintain high standards of quality, accountability, and operational excellence. - Strong strategic thinking, operational execution capabilities, and cross-functional leadership and influence. - Excellent communication, leadership, problem-solving, and organizational change management skills. Nice to have (but not required) - Experience in rare disease, respiratory, immunology, gene therapy, or specialty biotech development programs is preferred. Travel Requirements - This position involves occasional domestic and/or international travel (approximately 10%). Benefits - Comprehensive medical, dental, and vision coverage and mental health support. - Annual wellbeing reimbursement and access to our Employee Assistance Program (EAP). - Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules. - 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP). - Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities. - Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back.
• Lead the systems, integrations, and operational infrastructure supporting business operations across the company. • Manage tier-1 IT support and resolve day-to-day issues with internal tools. • Design data flows and integrations across systems while leading projects and supporting AI tooling. • Collaborate with Operations, Finance, and Legal departments for efficiency. • Handle occasional off-hours responsibility for critical system outages. • Aim to establish a centralized internal knowledge base, audit internal platforms, enhance identity and access management, assess readiness for SOC 2, and create sustainable IT operational processes.
• Design, configure, and maintain AI agent workflows • Research and evaluate new approaches to agent orchestration • Guide and review AI-generated code with a critical eye • Build and maintain a RAW → Base → Data Marts pipeline • Own data pipelines end to end, from API ingestion through transformation and QA • Write and maintain tests and documentation at every layer of the pipeline • Build comprehensive test suites using Great Expectations or equivalent tooling • Implement business logic validation checks and automated quality monitoring • Implement complex business logic and data validation in Python • Build ETL scripts, automation workflows, and API integration scripts
Cortica, established in 2014, is a leading provider of advanced neurological therapies for children with autism and other developmental differences. The company
Role Description The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: - Gathering stakeholder requirements - Designing the solution - Building and testing it - Shipping it to production This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer. The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode. Qualifications - 5+ years of hands-on data engineering experience, including building and operating production data pipelines - Expert-level Python skills for ETL, pipeline orchestration, and automation - Deep SQL proficiency — query optimization, data modeling, stored procedures - 2+ years’ experience working with AI first development workflows - 4+ years’ experience with AWS (S3, Glue, Lambda, Redshift) and/or Azure big data services - 1+ year of experience with Snowflake - 2+ years of experience with orchestration frameworks - 2+ years of Salesforce experience with Apex and configurations - Experience with Kimball dimensional modeling — building star schemas and conformed dimensions in production - Power BI (or equivalent BI tool) experience — data model design and report development - API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar) - Application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) Requirements - Engage stakeholders directly to gather, clarify, and document project requirements - Translate requirements into architected data solutions - Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production - Deploy solutions to production and monitor post-deployment health - Run parallel AI coding sessions across different facets of a pipeline simultaneously - Build and maintain context files for data projects - Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors - Build MCP (Model Context Protocol) or equivalent integrations - Design and build complex, reliable data pipelines ingesting from various sources - Implement and evolve data models using Kimball methodology - Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies - Develop and maintain orchestration workflows in Python, and AWS Glue - Continuously evolve the data schema as business and engineering requirements change - Build and support Power BI data models and reports - Work with data analysts and data scientists to build reusable, well-documented pipeline components - Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements - Build lightweight internal data applications and tooling - Design for agentic workflows - Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns - Ensure data security and HIPAA compliance in all pipeline and application work - Document decisions, tradeoffs, and architecture clearly - Collaborate across IT, finance, clinical operations, and data science Benefits - Medical, dental, and vision insurance - 401(k) plan with company matching and rapid vesting - Paid holidays and wellness days - Life insurance and disability insurance options - Tuition reimbursements for professional development and continuing education - Referral bonuses Company Description Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team.
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Role Description Carrot is seeking a detail-oriented and analytically driven Global Payment Operations Specialist to join our growing team. In this role, you’ll help ensure the accuracy and efficiency of global payment processing while partnering closely with Customer Success and Member Success teams. You’ll also have opportunities to improve operational workflows, create or refine process documentation, and contribute to automation, scalability, and product enhancements that strengthen Carrot’s global payment experience for our members. Qualifications - Bachelor's degree in Economics, Finance, Business Administration or related field - 2+ years of professional experience in payment operations at a fintech or payments company or equivalent experience in banking - Strong understanding of payment processing workflows, including cross-border payments, currency conversions, and reconciliation - Experience working with payment platforms such as Stripe, Modern Treasury, Airwallex, and Corpay - High level of integrity, initiative, motivation and curiosity - Strong analytical skills, detail-oriented, and solid ability to communicate verbally and in writing - Strong knowledge of Microsoft Excel and/or Google Sheets - Comfort working and communicating with cross-functional teams and outside customers - Self-starter with the ability to effectively plan, coordinate, and deliver results with minimal guidance Requirements - Knowledge of payment and compliance standards, including Nacha, cross-border payments, IAT, PPD, CCD, and OFAC guidelines - Experience handling high-volume money movement or transactional payments under tight deadlines - Experience with NetSuite or similar ERPs - Process-oriented mindset with a focus on efficiency and automation; experience developing best practices and creating scalable systems - Passion for Carrot’s mission and enthusiasm for contributing to a collaborative, dynamic team environment Benefits - Holistic Total Rewards package designed to support employees in all aspects of their life inside and outside of work - Health and wellness benefits - Retirement savings plans - Short- and long-term incentives - Parental leave - Family-forming assistance - Competitive compensation package - Starting base salary for this position will range from $70,000-$80,000 Fraud and Security Notice Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com Why Carrot? Carrot has received national and international recognition for its pioneering work, including: - Fast Company's Most Innovative Companies and World Changing Ideas - Inc. Power Partners - Modern Healthcare’s Innovators - Fortune’s Best Workplaces in Healthcare - Great Place to Work - Age-Friendly Employer certifications Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation.
Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
• Create data pipelines that make data available for analytic and application use cases • Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly • Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team • Leading projects from a technical standpoint, creating project Technical Design Documents • Support data analysts and analytics engineers ability to meet the needs of the organization • Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices • Build or implement tooling around data quality, governance and lineage, in the dbt framework and Snowflake but external to that as needed • Provide next level support when data issues are discovered and communicated by the data analysts • Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users • Enable analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice
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SQL, Amazon Redshift, Python, AWS, Azure, BigQuery
