Design, build, maintain, and operate scalable streaming and batch data pipelines.
Work with AWS services, including Redshift, EMR, and ECS, to support data processing and analytics workloads.
Develop and maintain data workflows using Python and SQL.
Southworks helps companies with software development and digital transformation. They focus on solving complex problems and delivering innovative solutions.
Lead the development of robust data pipelines and optimize data architecture.
Translate complex requirements into scalable data solutions.
JBS is an equal opportunity employer that values its employees. They are committed to hiring individuals authorized for employment in the United States on a W2 basis.
Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation.
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.
Parafin aims to grow small businesses by providing them with the financial tools they need through the platforms they already sell on. They are a Series C company backed by prominent venture capitalists, with a tight-knit team of innovators from companies like Stripe, Square, and Coinbase.
Design, build, and maintain AWS-based data pipelines that process vehicle telemetry and validation data
Develop Python services and workflows supporting safety and performance metric computation
Interpret truck-generated data and translate it into measurable system signals
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a part of the Daimler family with over a decade of experience, they are focused on developing software for automated trucks. Torc's culture is collaborative, energetic, and team-focused.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring systems evolve.
Machinify is a healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform used by over 85 health plans, representing more than 270 million lives, and foster a flexible and trusting environment.
Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
Jobgether is a pioneering HR Tech startup operating entirely remotely, and leading the revolution in the world of work. They are a job search engine designed exclusively for remote workers, with a team of 30 individuals located across the globe.
Architect our AWS-based data warehouse and ingestion pipelines.
Transform high-volume simulation outputs into clean, trusted datasets.
Establish schema standards and data contracts with engineering.
Onebrief provides collaboration and AI-powered workflow software designed for military staffs, making them faster, smarter, and more efficient. The company, founded in 2019, values ownership and excellence, with a team spanning veterans and technologists; it has raised $320m+ from investors and is valued at $2.15B.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform and have best-in-class expertise in the payment continuum, serving over 85 health plans and 270 million lives.
Design, build, and maintain reliable software within a defined problem space.
Focus on strong execution, sound technical decision making, and delivering high quality software.
Support modernization and quality improvements through hands-on development and technical leadership.
Reveleer likely offers solutions in the healthcare technology sector. They value strong technical skills, code quality, and delivering high-quality software efficiently.
Architect and maintain central storage and cloud environment.
Design and automate scalable ELT/ETL pipelines for data.
Support scientists and operational teams by designing data models.
Funga is a public benefit corporation using forest fungal networks to address climate change. They combine DNA sequencing and machine learning with forest microbiome research to improve wood creation, carbon sequestration, and forest resilience. They are a team of scientists and builders aiming to remove three gigatons of carbon dioxide from the atmosphere by 2050.
Advanced knowledge of AWS services including ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. At ATPCO, they believe in flexibility, trust, and a culture where your wellbeing comes first.
Learn and build expertise across several software engineering disciplines.
Solve challenging Airflow problems for our customers.
Spend up to 25% of your time on side projects that contribute to Astronomer’s overall success.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. They are trusted by more than 800 of the world's leading enterprises, letting businesses do more with their data.
Participate in the decisions on “how” we deliver software.
Partner on the “what, when, who and why” of our software with Design and Product.
Lead a major feature or application and support junior engineering talent with mentorship and/or technical guidance.
Nooks is pioneering Classified Infrastructure-as-a-Service (CIaaS) to provide government and industry partners with the fastest, most efficient access to classified infrastructure. As a startup, they are offering a limited-time opportunity to be an equity owner in a pioneering new industry and they value innovation, collaboration, and a service-first mindset.
Define and plan the long-term strategy for the Data Platform.
Design and develop scalable distributed systems for data management.
Improve and add features to the ETL framework while maintaining SLAs.
Jobgether is a platform that connects job seekers with companies using an AI-powered matching process. It's a platform that ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Responsible for building clean, scalable, and reliable solutions that support data-driven and AI‑enabled environments.
Developing well‑tested Python applications and working within cloud-native ecosystems.
Collaborating effectively across engineering, data, and scientific teams, turning complex requirements into production-ready solutions.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
Own and execute daily builds and publish a trusted, up-to-date catalog of RapidFort’s curated container images
Maintain, monitor, and continuously improve the entire build environment, including Docker builds, image tooling, automation, and supporting infrastructure
Triage and debug build failures, container issues, and image-related problems across engineering teams
RapidFort builds hardened, production-ready container images and automation that help enterprises and U.S. government agencies reduce software supply chain risk and deploy secure workloads faster. Our platform is remediation-first, focused on runtime hardening, minimal attack surface, and operational simplicity for cloud-native and Kubernetes environments.
Build and enhance backend services that power NodeZero.
Implement and evolve backend APIs in GraphQL and Python.
Collaborate closely with other teams.
Horizon3.ai is a cybersecurity company dedicated to enabling organizations to proactively find, fix and verify exploitable attack vectors. They are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.