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.
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 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.
Designing, developing, and maintaining robust, scalable, and well-documented data pipelines
Collaborating with the Tech Lead to ensure quality, performance, and maintainability of Data products
Contributing to the continuous improvement of engineering practices (CI/CD, automation, testing, documentation)
Accor Tech & Digital is the power engine of Accor technology, digital business and transformation. Their 5,000 talents are committed to deliver the best tech and digital experiences to its guests, hotels and staff across 110 countries and to shape the future of hospitality.
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.
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 efficient architectural recommendations and implement them reliably.
Improve code and infrastructure maintainability through documentation and peer review.
Work with analytics, BI, and other stakeholders to identify data needs and produce enabling processes.
Super.com maximizes the lives of customers and its team, aiming to help everyone experience all that life has to offer. They are a fast-paced, high-growth tech company that cares about people and takes career progression seriously.
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..
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.
Design, build, and maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
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.
Drive automation through effective metadata management.
Learn and apply modern data preparation and integration techniques.
Jobgether uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
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.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Design, develop, and maintain dbt data models that support our healthcare analytics products.
Integrate and transform customer data to conform to our data specifications and pipelines.
Design and execute initiatives that improve data platform and pipeline automation and resilience.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
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 maintain pipelines that power all data use cases.
Develop intuitive, performant, and scalable data models that support product features.
Pay down technical debt, improve automation, and follow best practices in data modeling.
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. They are leaders in the space, with over $10 billion generated by creators since Patreon's inception, with a team passionate about their mission.
Design and develop data integration pipelines across cloud and legacy systems.
Lead and support data engineering implementation efforts.
Apply advanced analytics techniques to support business insights and decision-making.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company, with the final decision managed by the internal team.
Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams.
Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant.
Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows.
UW provides utilities all in one place, including energy, broadband, mobile, and insurance. They aim to double in size and offer savings to customers, fostering a culture that values imaginative and pragmatic problem-solvers.