Design end-to-end data pipelines to collect, process, transform, and load data into cloud environments.
Lead and mentor a team of data engineers while collaborating with client stakeholders on data requirements.
Build and optimize ETL processes to ensure data quality, integrity, and actionable insights.
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers who love solving hard problems. They believe the right data can transform and propel growth for any organization.
Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric.
Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Synapse Analytics, Fabric, and related technologies.
Work with project teams and clients to understand requirements and deliver effective solutions.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and AI. It has grown significantly since 2016, with teams in the US, Canada, and India and a culture based on craftsmanship and collaboration.
Build and maintain ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
Support data models and transformations aligned with healthcare standards like HL7, FHIR, and X12, while contributing to data quality checks and validation.
Work with analysts and business users to translate data requirements into technical tasks and maintain documentation for data governance.
Curana Health is a national leader in value-based care, providing senior living communities and skilled nursing facilities with solutions like on-site primary care, Accountable Care Organizations, and Medicare Advantage Special Needs Plans. Founded in 2021, the company has grown to serve 200,000+ seniors across 1,500+ communities in 32 states, with a team of over 1,000 clinicians and professionals ranked #147 on the Inc. 5000 list.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Develop, maintain, and support solutions using Microsoft Azure, Power Apps, and Power Platform technologies.
Support cloud modernization and migration of legacy reporting and analytics to Azure and Databricks environments.
Analyze large datasets and build KPI-based dashboards and reports to drive informed decision-making.
Planned Systems International is a technology solutions company supporting enterprise reporting, analytics, and cloud modernization initiatives. PSI offers a competitive total compensation package and invests in professional growth for its employees.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Own build and release engineering, consolidating Azure DevOps pipelines onto reusable templates with automated quality gates.
Implement GitOps-based continuous delivery with declarative, Git-driven deployments and automated rollback.
Automate business continuity, disaster recovery, and environment provisioning across Azure and Kubernetes.
Smile Digital Health provides a FHIR-based health data platform that helps healthcare stakeholders collect and exchange structured data to improve patient care. The company was ranked #19 on Deloitte's Technology Fast 50 for 2024 and fosters a culture of respect, inclusion, and belonging.
Architect ingestion pipelines for X12 EDI and FHIR-based data using Azure Data Factory and Databricks.
Design canonical data models for referral, clinical document, and provider-administered drug data.
Guide reporting and analytics data model design while partnering with client stakeholders and vendor teams.
OnTrac is a contractor program supporting a healthcare and pharmacy benefit management (PBM) customer. They operate with distributed delivery teams and emphasize a remote-first culture.
Design, build, and maintain scalable ETL pipelines and data models to support analytics and product needs.
Develop robust data integration workflows for seamless data exchange between internal and external systems.
Optimize cloud-hosted databases and ensure security and compliance with healthcare standards like HIPAA.
Chamber is rebuilding cardiology care by partnering with independent cardiologists and equipping them with technology, data, and operational tools. They blend clinical expertise, thoughtful design, and AI-forward innovation in an early-stage health tech culture.
Operate and administer Azure cloud infrastructure across dev, staging, and production environments, including Container Apps, PostgreSQL, and Service Bus.
Develop and maintain Infrastructure as Code using Terraform and automate CI/CD pipelines with GitHub Actions, ensuring secure and reliable deployments.
Drive observability, incident response, and cost governance for Azure AI services and containerized workloads using Azure Monitor and Log Analytics.
This company builds enterprise SaaS platforms that combine vertical software with AI to run mission-critical operations worldwide. They operate with an outcome-driven, remote culture and a diverse international technology team.
Provide technical oversight and guidance to developers and architects for end-to-end data solutions.
Lead modernization from flat-file to API-driven Azure pipelines.
Mentor team members, delegate tasks, and track delivery metrics.
Holman is a family-owned, global automotive services organization providing fleet management, leasing, manufacturing, distribution, and retail sales. With over 10,000 employees, it nurtures a Great Place to Work-certified culture guided by 'The Holman Way.'
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with major healthcare, life sciences, financial services, and government organizations worldwide, and we foster an innovative, dynamic team.
Design, build, and manage the presentation layer for reporting & analytics, data science, and consuming applications.
Mentor and grow a team of data engineers while collaborating with IT and business stakeholders on data sourcing.
Deliver technical data solutions, automate pipelines, and ensure data quality and governance across the platform.
Curana Health is a national leader in value-based care for older adults, offering on-site primary care and other solutions to senior living communities and skilled nursing facilities. Founded in 2021, the company serves 200,000+ seniors in 1,500+ communities across 32 states with a team of over 1,000 clinicians and professionals.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Design and architect data solutions for multi-source system integration.
Create scalable datasets, data models, and ETL/ELT processes to support analytics and reporting.
Collaborate with stakeholders, communicate complex concepts clearly, and support backend development.
Tieto is a technology consulting company that designs and delivers data and analytics solutions for various industries. They value diversity, equity, and inclusion, and offer a flexible, open culture with professional growth opportunities.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Design and develop automated data testing frameworks and validation pipelines for enterprise reporting and analytics.
Ensure data integrity and quality by executing validation routines, reconciliation, and profiling across ETL/ELT pipelines.
Provide technical leadership in test environment strategy, automation, and continuous improvement for data quality engineering.
Kemper is one of the nation's leading specialized insurers, providing affordable and easy-to-use personalized insurance solutions through its Kemper Auto and Kemper Life brands. With approximately $12 billion in assets and around 7,000 associates, the company values diversity, personal development, and a healthy work-life balance.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.