Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
Partner with product and analytics teams to deliver data-driven customer experiences and insights.
Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.
This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
Design and implement scalable lakehouse architectures using Bronze, Silver, and Gold patterns with technologies like Kafka, Spark, and Airflow.
Build and manage high-performance streaming and batch data pipelines and open table format solutions such as Iceberg, Delta Lake, and Hudi.
Optimize distributed query environments, maintain platform reliability, and partner with data scientists and product teams to deliver impactful data capabilities.
The partner company is building scalable data platforms that power analytics, machine learning, and next-generation products. They offer a collaborative and supportive work environment focused on innovation and continuous learning.
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.
Design and deliver scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.
Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
Build and optimize data models in Snowflake for analytics and operational reporting.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Oowlish is a rapidly expanding software development company based in Latin America, collaborating with premier clients from the United States and Europe on pioneering digital solutions. Certified as a Great Place to Work, we offer remote work and a nurturing environment with opportunities for professional development and international impact.
Own architecture and delivery for modern data platforms end-to-end.
Shape client data strategy and design scalable solutions.
Mentor internal team members and ensure high-quality delivery.
8th Light is a technology solutions consultancy that partners with organizations from early-stage startups to the world's largest companies. Founded in 2006, we foster an open, collaborative culture grounded in honesty and continuous education.
Lead the technical vision, architectural strategy, and data modeling frameworks for Privia's enterprise data platform.
Design and govern Privia's multi-layered data architecture on Snowflake using Medallion Architecture principles and healthcare data integration.
Provide technical leadership, mentorship, and cross-functional collaboration to ensure scalable, secure, and performant data solutions.
Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and exceptional physician leadership, with a focus on scalable operations and end-to-end, cloud-based technology.
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.
Serve as a senior technical leader defining architecture, engineering standards, and best practices for the enterprise data platform.
Drive platform modernization by partnering with engineering leadership to build scalable, reliable, and well-governed data systems.
Lead technical design processes, conduct design reviews, and mentor engineers on best practices and technical leadership.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities to life. The WDTech team is a group of collaborative and highly skilled technology professionals committed to innovation and disrupting the old-fashioned real estate industry.
Lead the design and optimization of modern data architectures for AI-driven applications.
Manage hybrid database environments and implement ETL/ELT strategies.
Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.