Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Build and optimize backend services and data pipelines for a next-gen advertising platform.
Take ownership of code from design to production, ensuring reliability and maintainability.
Collaborate with engineers, PMs, and stakeholders to turn requirements into reliable features.
Spreetail propels brands to increase their ecommerce market share globally while improving operational costs. It is one of the fastest-growing ecommerce companies with a culture of ownership and collaboration.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Design and build scalable data pipelines using Apache Spark and cloud technologies.
Develop and maintain data integrations and transformation processes from multiple sources.
Collaborate with technical teams to ensure data quality and optimize data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on using technology to streamline the hiring process and offer a remote work environment.
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.
Design and deliver near real-time data solutions for the analytics platform.
Analyze business needs, optimize data models, and identify slow queries for performance improvement.
Write clean, scalable code using Scala, Python, and SQL while mentoring team members.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide. It is a unicorn startup with offices across multiple countries and a focus on innovation and collaboration.
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.
Own the design, delivery, and operation of major data products including ETL pipelines and storage solutions.
Partner with engineering, product, and business stakeholders to define solutions and drive projects from design to production.
Mentor engineers, lead technical strategy, and participate in on-call rotation for production systems.
Lime is the largest global shared micromobility company, on a mission to make transportation shared, affordable, and carbon-free. It has powered over one billion rides across 30 countries and is a Time 100 Most Influential Company.
Contribute to the architecture and improvement of our data acquisition and processing platform, increasing reliability, throughput, and observability.
Use and develop web crawling technologies to capture and catalog data on the internet.
Build, operate, and evolve large-scale distributed systems that collect, process, and deliver data from across the web.
People Data Labs provides people and company data, integrating thousands of compliantly sourced datasets into a single source of truth. They are a remote-first company focused on building innovative data solutions, with a collaborative team that values ownership and learning from failure.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Validate data within Databricks Delta tables across Bronze, Silver, and Gold data layers.
Execute advanced SQL queries to validate datasets, schemas, and data quality.
Collaborate with engineering teams to resolve defects and ensure data pipeline accuracy.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to streamline the application process and operates with a focus on efficiency and fairness.
Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time workloads.
Build and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and orchestration frameworks.
Partner with data scientists, ML engineers, and product teams to deliver data products and establish data quality frameworks.
Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of crypto products to individuals and institutions in over 70 countries. As a publicly traded company, Gemini is poised to accelerate the vision of reshaping the global financial system with greater scale, reach, and impact.
Design and implement standardized, normalized data models integrating heterogeneous source systems.
Own org-wide architectural decisions for data warehousing, orchestration, and pipeline reliability.
Build and maintain production-grade data services using Python, BigQuery, and dbt.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. The company offers nearshore technology services, including staff augmentation and dedicated IT teams, to empower businesses in an evolving digital landscape.
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.
Lead a team of data engineers to design and optimize scalable data solutions.
Architect and implement large-scale streaming and batch data processing using Kafka, Spark, and Hadoop.
Collaborate with cross-functional teams to define data strategies and ensure data governance and quality.
The company is a technology-focused organization that builds scalable data platforms. It offers a fully remote work environment with a collaborative culture and international teams.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.
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.
Lead design and integration of new services for data and event processing.
Scale the Datastore’s core infrastructure and implement APIs for clinical studies.
Partner with product managers and teams to ensure data integrity and maintainability.
Beacon Biosignals is a precision medicine company focused on brain disorders, using EEG data and AI for biomarker discovery. With nearly 100,000 patient records and a cloud platform, their small team fosters empathy and scientific impact.