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.
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.
Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.
Design and implement scalable backend systems using Python and AWS services.
Collaborate with product, engineering, and analytics teams to deliver end-to-end solutions.
Build serverless functions and microservices for data processing and integration.
Evio is a pharmacy solutions company founded by health plans to transform access to high-cost medications. They serve over 20 million members and are deeply committed to a culture of empathy, diversity, and transparency.
Design and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
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.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
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.
Develop and evolve data ingestion applications using AWS tools such as Glue, Lambda, and SQS.
Optimize data pipelines with partitioning, skew balancing, and performance tuning.
Implement automated testing, code reviews, and deployments with a focus on FinOps.
CI&T helps large companies transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, they foster a collaborative culture where AI is integrated into daily work.
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 and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Design, build, and maintain robust ETL/ELT processes for modern Data Lake architectures.
Write and optimize complex SQL queries using Python and PySpark for large-scale distributed data processing.
Collaborate with cross-functional teams to ensure data governance, quality, and observability across cloud-native platforms.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, we are 8,000 CI&Ters across more than 25 countries.
Build and optimize cloud-native data pipelines on AWS with dbt, Airflow, and Spark.
Design and evolve data models for analytics, operational use cases, and AI/ML.
Raise the bar on data reliability through governance, testing, and lineage.
Sport Alliance builds the data platform behind Magicline and Finion, serving thousands of gyms and over 10 million members. The company is building an AI-first data team and offers a flexible, fitness-focused culture with a strong emphasis on learning and well-being.
Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact.
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.
Define and maintain architectural standards for the enterprise data platform, including data modeling, pipeline design, and orchestration.
Lead the Technical Design Document process and conduct design reviews and production readiness reviews.
Guide the evolution of the core data platform stack including Redshift, Airflow, Kafka, SQL Server, and Aurora PostgreSQL.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners to bring their visions to life. The company is committed to creating meaningful social, environmental, and economic change and has earned recognition as a Great Place to Work.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Design, build, and maintain scalable lakehouse architectures and enterprise data platforms.
Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations.
Implement data quality, observability, and monitoring processes to ensure reliable, high-performing pipelines.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.
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 and deliver data engineering solutions, including data lakehouse buildouts and cloud migrations, for EMEA and US customers.
Lead small delivery teams, mentor junior engineers, and support pre-sales processes to compound impact across the organization.
Work with Apache Spark/Databricks on AWS/Azure, manage customer relationships, and communicate technical concepts to non-technical audiences.
DATAPAO is a data engineering and cloud migration consultancy that helps customers solve complex data puzzles. The company emphasizes a high-transparency culture, open feedback, and a strong community, with a focus on innovation and impact.