Design and implement scalable systems leveraging cutting-edge AI tools to handle healthcare data variability.
Partner with Engineering Managers and cross-functional teams to execute technical roadmaps using Agile processes.
Mentor junior engineers through thorough code reviews and be receptive to feedback on your own work.
Aledade is a healthcare technology company focused on solving data ingestion challenges to improve patient care. Their engineering culture emphasizes collaboration, mentorship, and building scalable, secure solutions.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Partner with PMs to translate business opportunities into scalable data and AI solutions.
Deliver reliable data products that support experimentation and decision-making across the company.
Build and scale batch and real-time pipelines for high-quality data processing.
Change.org is the world’s largest platform for democracy, enabling millions of people to create change. With over 100 million users annually, the company is investing heavily in AI to build powerful tools and is expanding its talented team at the intersection of technology and social impact.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design and build scalable data pipelines and schemas for client engagements.
Lead data architecture and modeling discussions, weighing tradeoffs.
Mentor teammates and contribute to 8th Light's culture and values.
8th Light is a technology solutions consultancy that partners with organizations to build software, platforms, and agentic products. Founded in 2006, the company fosters an open, collaborative culture grounded in honesty and continuous learning.
Own end-to-end customer engagements, architecting multi-cloud deployments and writing production-grade code.
Build complex data pipelines and integrations across cloud data platforms like Snowflake and Databricks.
Mentor junior engineers, influence product evolution, and serve as a cross-functional catalyst across Sales, Product, and Engineering.
Matillion is the company behind Maia, the AI Data Automation platform that eliminates manual data engineering. They have teams across the UK, US, and India, and are driven by curious, energetic people who move fast and think big.
Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
Write, optimize, and maintain complex SQL across multiple database platforms and Databricks.
Design and build data ingestion pipelines using API integrations, CDC patterns, and modern data engineering practices.
Develop and maintain Databricks Lakehouse architectures following the Medallion model.
Coforge is a global IT services company specializing in digital transformation and technology solutions. With over 20,000 employees worldwide, the company fosters a collaborative and innovative culture focused on delivering value to clients.
Own end-to-end Ed-Fi Assessment Outcomes API delivery system for data transformation and pipeline execution.
Optimize AWS-based file delivery infrastructure and support internal/customer-facing UIs.
Mentor teammates and establish engineering patterns for a growing data delivery domain.
Renaissance is a global leader in pre-K–12 education technology, providing solutions that help educators personalize learning paths for students. With over one-third of US schools and 100+ countries using their products, the company fosters a culture of trust, collaboration, and growth.
Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.
Lead design, implementation, and optimization of complex enterprise data engineering solutions for scalable, secure data platforms.
Develop advanced data pipelines, integration frameworks, quality processes, and monitoring capabilities across enterprise systems.
Provide technical leadership, mentor engineers, and drive continuous improvement in performance, automation, and operational excellence.
The University of Kansas Health System is a world-class healthcare provider in Kansas City, part of a premier academic medical center. It is driven by commitment to service, continuous improvement, and excellence, with a collaborative culture among physicians, nurses, researchers, and professionals.
Build, expand, and optimize data infrastructure to create the most accurate dataset of identities and their relationships.
Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements.
Design and maintain a data observability framework to ensure data meets strict quality and freshness standards.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. The company is growing rapidly, has verified hundreds of millions of identities, and is backed by top investors like Craft Ventures and Andreessen Horowitz, with offices across the US and India.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Contribute to the design, development, and operation of core components of Abnormal’s data platform.
Build tools and services that make it easy for other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform.
Own the identity data model and coordinate cross-ecosystem mappings for billions of package observations.
Architect streaming and batch pipelines using Java, Spark, HBase, Databricks, and AWS primitives.
Lead design of data contracts for downstream teams, ensuring schema stability and versioning.
Sonatype is the software supply chain security company, providing end-to-end security solutions including proactive protection against malicious open source and enterprise-grade SBOM management. With over 2,000 organizations including 70% of the Fortune 100 and 15 million developers relying on its platform, Sonatype is a market leader in software supply chain security.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.