Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Build modern, scalable data pipelines that keep the data flowing.
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning.
Unify and wrangle data from all kinds of sources.
InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together.
Design, build, and maintain robust data pipelines.
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
Build modular data models that power analytics, product features, and LLM agents.
Jobgether is a platform that uses AI to match candidates with jobs. They aim to review applications quickly and fairly, ensuring the top-fitting candidates are identified and shared with hiring companies.
Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.
Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Manage the analytics data warehouse to make it scalable and reliable.
Build and scale data catalogs and a semantic layer for the data infrastructure.
Sibill is the accounting and financial operating system for small and medium businesses (SMBs). They integrate invoicing, payments, treasury, and accounting in one modern platform and are backed by top international investors..
Design and implement large-scale distributed data processing systems.
Build robust data pipelines and infrastructure that transform complex data into actionable insights.
Architect data lakes, warehouses, and real-time streaming platforms.
Cloudbeds is transforming hospitality with an intelligently designed platform that powers properties across 150 countries. With a completely remote team of 650+ employees across 40+ countries, they are solving challenges and redefining what's possible in hospitality.
Build and evolve our semantic layer, design, document, and optimize dbt models.
Develop and maintain ETL/orchestration pipelines to ensure reliable and scalable data flow.
Partner with data analysts, scientists, and stakeholders to enable high-quality data access and experimentation.
Customer.io's platform is used by over 7,500 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication and help teams send smarter, more relevant messages using real-time behavioral data; their culture values empathy, transparency, and responsibility.
Build modern, scalable data pipelines that keep the data flowing—and keep our clients happy
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning
Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Architect and maintain scalable, secure, and high-performing data pipelines to support analytics, reporting, and operational needs.
Develop and deploy production-grade data engineering code, ensuring reliability and performance across environments.
Manage end-to-end data workflows, including ingestion, transformation, modeling, and validation for multiple business systems.
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, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
Build Production-Grade Data Systems by writing clean, modular, well-tested Python code for data pipelines and platform services.
Design and Maintain Data Models by implementing relational data models aligned with medallion architectures (bronze/silver/gold).
Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt to maintain Transformation & Data Quality.
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, they focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
Design and implement ETL/ELT pipelines to integrate data from multiple sources into secure environments.
Develop dashboards and reports using BI tools.
Integrate security controls into all data engineering processes.
Peraton is a national security company that drives missions of consequence. They deliver solutions and technologies to protect the nation and allies, operating across various domains and serving government agencies and the U.S. armed forces.
Build a scalable, reliable, operable and performant big data workflow platform.
Drive the usage of Freight's data model across the organization with multiple product teams.
Drive efficiency and reliability improvements through design and automation.
Uber Freight is an enterprise technology company powering intelligent logistics with end-to-end logistics applications, managed services, and an expansive carrier network. Today, the company manages nearly $20B of freight, has one of the largest networks of carriers and is backed by best-in-class investors.
Designing, building and maintaining data pipelines and data warehouses.
Developing ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
Helping to define automated solutions to solve complex problems around better understanding data, users, and the market
Neighborhoods.com provides real estate software platforms, including 55places.com and neighborhoods.com. They strive to foster an inclusive environment, comfortable for everyone, and will not tolerate harassment or discrimination of any kind.
Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata
Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay
Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. They transform this work, making the staff faster, smarter, and more efficient. The company is all-remote with employees working alongside customers; it was founded in 2019 and has raised $320m+.
Create and maintain optimal data pipeline architecture
Ensure reliability and scalability of our data infrastructure
Build the infrastructure required for optimal extraction, transformation, and loading of data
Kamino Retail (powered by Equativ) is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive results.
Creating and maintaining optimal data pipeline architecture.
Assembling large, complex data sets that meet functional & non-functional business requirements.
Building the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using relevant technologies.
Mercer Advisors works with families to help them amplify and simplify their financial lives through integrated financial planning, investment management, tax, estate, and insurance services. They serve over 31,300 families in more than 90 cities across the U.S. and are ranked the #1 RIA Firm in the nation by Barron’s.
Designing and maintaining scalable, secure data pipelines that feed BigQuery from diverse sources
Owning our infrastructure-as-code setup using Terraform
Automating data QA, modeling, and maintenance tasks using scripting and AI
TheyDo helps enterprises align around their customers with an AI-powered journey management platform, fostering smarter decisions and enhanced experiences. With $50M backing and a global team across 27 countries, TheyDo champions a customer-led, people-first culture.
Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.