Architect and improve real-time data streaming systems processing millions of events per second with ultra-low latency.
Lead development of core data infrastructure enabling real-time decision-making and personalization.
Solve complex distributed systems challenges including fault tolerance, scalability, and performance optimization.
The hiring company is a technology firm focused on building real-time data platforms and AI-driven systems. The company culture emphasizes innovation, autonomy, and high engineering standards, though specific employee count is not provided.
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.
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 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.
Design and migrate scalable data solutions using modern cloud technologies like AWS and Data Mesh.
Convert Alteryx workflows to AWS-native architectures such as AWS Glue and improve performance.
Build and maintain reliable data pipelines using distributed processing tools like Spark and Airflow.
The partner company provides data engineering and cloud solutions aimed at helping organizations modernize their data platforms. They are a collaborative team of technology professionals focused on innovation and scalable architectures.
Design, build, and maintain streaming data solutions based on Apache Kafka and related technologies.
Build and maintain data pipelines using Apache Kafka, including topics, partitions, and consumer group tuning.
Write and maintain unit and integration tests for streaming topologies.
GR8 Tech builds B2B iGaming platforms for operators who play to lead. With 1000+ employees across multiple time zones, they foster a culture of trust, ownership, and growth.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
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.
Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
Partner with analytics, data science, and machine learning teams to provide data solutions.
Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.
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.
Build, maintain, and run CI/CD pipelines and infrastructure-as-code for the platform and services.
Provision and manage cloud-based Spark clusters and distributed data processing environments.
Investigate and resolve data pipeline issues while monitoring systems and managing cloud costs.
Smile Digital Health provides a FHIR-based data liberation platform for healthcare stakeholders to collect and exchange data. They were recognized as #19 on Deloitte's Technology Fast 50 Ranking for 2024 and operate in over 20 countries, fostering a culture of respect, inclusion, and diversity.
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.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
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.
Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain.
Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences.
Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions.
Spotify is a global music streaming service with a mission to reach one billion users and $100 billion in revenue. The Subscriptions User Understanding team supports over 200 million Premium subscribers, fostering a culture of inclusivity and forward-thinking innovation.