Develop and optimize Databricks pipelines for large-scale healthcare data.
Partner with product teams and clinical leaders to translate business needs into scalable solutions.
Apply data engineering best practices to create high-quality, trusted data models.
The company is a healthcare technology organization focused on building data platforms that improve patient outcomes. They offer a collaborative work environment with mentorship and professional development opportunities.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
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.
Develop and maintain data pipelines for ingestion, transformation, and modeling using Microsoft Azure and Databricks.
Work with PySpark, Azure Data Lake Storage, and Delta Lake to build scalable and performant data solutions.
Collaborate in Agile/SCRUM teams to deliver end-to-end data engineering projects.
Expleo is a global engineering, technology and consulting service provider that helps clients innovate and future-proof their businesses. With a presence in 30 countries, they leverage a network of affiliates and partners to deliver comprehensive services across multiple sectors.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.
You will work under the guidance of the Central Platform Team to build our Databricks engineering framework.
You will establish reusable development patterns and advance our core codebase.
You will use modern data engineering practices and AI-assisted tools to build scalable data solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, they are committed to delivering impactful, future-ready solutions.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from multiple systems.
Improve observability by implementing monitoring, validation, and alerting to ensure data accuracy and consistency.
Collaborate with cross-functional teams to define data requirements and deliver effective solutions.
SweedPos builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With over 200 employees, they operate as a remote-first, product-driven startup focused on simplicity and innovation.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Design, develop, and maintain optimal data pipelines and workflows.
Provide technical guidance on architecture design and collaborate with Data Engineers for implementation.
Perform data integration, transformation, and cleaning to create actionable data for the business.
TREND Health Partners is a tech-enabled payment integrity company that facilitates collaboration between payers and providers to reduce waste and improve healthcare access. It is a dynamic, growing organization with a collaborative and innovative work environment.
Own the design, development, and iteration of complex data systems from raw ingestion through transformation and modeling.
Perform exploratory and hypothesis-driven analysis to surface insights guiding client and internal decision-making.
Partner with stakeholders to define success criteria and deliver data products that drive extraordinary outcomes.
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses and their patients. We are a mission-driven startup rapidly growing our market share by delivering software people love.
Design, develop, and optimize enterprise data integrations and ETL/ELT pipelines across Microsoft technologies.
Build and maintain CI/CD pipelines, deployment automation, and release management processes.
Ensure data accuracy, security, and scalability through quality controls, governance, and collaboration with stakeholders.
The partner organization provides data integration and DevOps solutions within a Microsoft-based technology ecosystem. It fosters a remote-first, mission-driven culture emphasizing employee flexibility, well-being, and professional growth.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
Design and implement enterprise-grade lakehouse architectures using Databricks.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership and partner directly with enterprise clients to translate requirements into robust solutions.
Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.
Develop and optimize data processing and analytics solutions using Python and Databricks.
Manage relational databases (Oracle Exadata) and non-relational S3-based systems.
Design and optimize data consolidation and transformation processes for large-scale information.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants across 21 countries and a turnover of €850M, we deliver impactful, future-ready solutions.