Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.
Operate, monitor, and automate production environments using Terraform and GitLab CI/CD, and support incident response.
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Execute end-to-end migration of ~1,000 datasets to Snowflake and upgrade Airflow workflows to Airflow 3.
Modernize legacy data to Apache Iceberg, migrate streaming infrastructure across cloud regions, and optimize SQL performance.
Implement testing strategies and debug complex pipelines to ensure high data quality and reliability.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Own and operate data pipelines ensuring accurate data delivery to Snowflake.
Improve pipeline performance and scalability by reducing latency and optimizing costs.
Drive reliability and data quality through SLOs, monitoring, and automated checks.
Tala is an AI-native credit infrastructure connecting global capital to borrowers in emerging markets. With over $9 billion distributed to 14+ million customers, it has a global remote-first team with offices on four continents.
Design, build, and maintain scalable ETL/ELT pipelines using Snowflake and Apache Airflow.
Optimize data processing, ensure data quality, and support reliable delivery of data solutions.
Collaborate with engineers, analysts, and stakeholders to turn requirements into effective data engineering.
Element Solutions is a digital transformation partner that builds modern digital solutions for government and commercial customers. It is a remote-first, HUBZone-certified company based in Washington, DC, with a vibrant team focused on impactful work.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies.
Combine architectural leadership, client advisory, and hands-on expertise covering cloud platforms, data pipelines, and AI/ML.
Guide engineering teams through implementation, mentoring engineers and facilitating discovery workshops.
Truelogic is a nearshore staff augmentation services provider headquartered in New York, delivering top-tier technology solutions to companies of all sizes. With a team of over 600 tech professionals in Latin America, they drive digital disruption by partnering with U.S. companies.
Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Drive data platform evolution including data lake, event instrumentation, data quality, and governance for systems like Kafka, Airflow, Druid, and EMR on EKS.
Implement data governance and privacy solutions, and build agent harnesses that encode engineering standards into AI tools.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. The company values grit, speed, and craft, and fosters a culture of ownership and reinvention.
Design and maintain scalable data pipelines using Spark, Flink, Kafka, and Airflow.
Architect robust data models and storage strategies for cloud data warehouses and lakes.
Ensure data quality, monitoring, and compliance with security and regulatory standards.
Coinbase is building the future of the global financial system as a leading crypto exchange. We have a remote-first engineering culture with cross-functional collaboration.
Design and maintain scalable ETL/ELT pipelines in Snowflake
Build and optimize data models and workflows for BI and analytics
Integrate data from APIs and collaborate with cross-functional teams
Software Mind is a multicultural team of engineers who ramp up top-notch companies' projects. They are in constant growth with an excellent work environment certified by Great Place To Work.
Build, maintain, and optimize scalable data pipelines using SQL, Python, and Spark to support direct mail and digital marketing clients.
Own daily monitoring and maintenance of Databricks workflows, AWS jobs, and related data tools, resolving pipeline failures and schema changes.
Collaborate with analytics, campaign, and account teams to ensure data accuracy, security, and seamless campaign delivery.
Our partner is a growing, data-driven company that builds and maintains data infrastructure for client marketing campaigns. They offer a collaborative environment within a performance-driven team working with modern technologies like SQL, Python, Spark, Databricks, and AWS.
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, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Design and build a centralized Incident Management Platform that connects production systems, operational tools, and cloud-based data infrastructure.
Develop robust integrations and data pipelines using Databricks, AWS, APIs, and AI-powered agents to streamline incident workflows.
Take end-to-end ownership of technical deliverables while collaborating with an international, distributed engineering team.
This position is listed on behalf of a partner company that manages all applications and next steps. The hiring team is multicultural, globally distributed, and remote-first, with an emphasis on technical excellence and collaboration.
Design, build, and maintain scalable data pipelines that ingest, reconcile, transform, and publish data for AirCover products and operations.
Develop analytics-ready data models and metrics supporting executive reporting, claims, experimentation, financial reconciliation, and self-serve analysis.
Partner cross-functionally with engineering, product, finance, analytics, and data science to translate business needs into trustworthy data assets.
Airbnb is an online marketplace that connects hosts with guests for unique stays and experiences. It has grown to over 5 million hosts and 2 billion guest arrivals, with an inclusive culture that values diversity and belonging.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
Architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications.
Transform static data lakes into active, low-latency backends for real-time, agentic AI applications.
Provide technical leadership, establish engineering best practices, and collaborate cross-functionally in a Tech/Creative environment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ skilled tech professionals in Latin America drives digital disruption by partnering with US companies on impactful projects.
Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation.
Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing.
Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools.
We're a fast-scaling Braze and Snowflake agency transforming digital marketing, product, and engineering teams. In five years, we've grown quickly and built a culture of ownership, collaboration, and growth on the road to $100M revenue.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.