Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
Collaborate with cross-functional teams to deliver impactful data solutions.
Jobgether is an AI-powered platform that helps job seekers find suitable opportunities. They connect top-fitting candidates with hiring companies, streamlining the recruitment process through objective and fair assessments.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Design and engineer robust data pipelines using technologies like Databricks, Azure Data Factory, Apache Spark, and Delta Lake.
Craft healthcare data solutions - processing massive healthcare datasets, optimizing performance, and ensuring data is accurate and secure.
Communicate technical concepts to non-technical stakeholders, manage multiple priorities, and meet deadlines.
Gentiva offers compassionate care in the comfort of patients' homes as a national leader in hospice, palliative, home health care, and advanced illness management. They have nearly 600 locations and thousands of clinicians across 38 states, offering rewarding careers in a collaborative environment.
Build & Operate Data Pipelines, using AWS-native data tools and distributed processing frameworks.
Operate and improve core data platform services, addressing incidents, performance issues, and operational toil.
Partner with data producers and consumers to onboard pipelines, troubleshoot issues, and improve platform usability.
Fetch is a platform where millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. With investments from SoftBank, Univision, and Hamilton Lane, and partnerships with Fortune 500 companies, it is reshaping how brands and consumers connect in the marketplace. Ranked as one of America’s Best Startup Employers by Forbes, Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
Architect and maintain robust data pipelines to transform diverse data inputs.
Integrate data from various sources into a unified platform.
Build APIs with AI assistance to enable secure access to consolidated insights.
Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.
Design, develop, and maintain scalable and robust data pipelines.
Create solutions for data ingestion, transformation, and modeling using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
Ensure the quality, integrity, and usability of data throughout the entire pipeline.
CI&T specializes in technological transformation, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters worldwide, they have partnered with over 1,000 clients during their 30-year history, with a focus on Artificial Intelligence.
Design and build scalable data pipelines that ingest, process, and transform high-volume event streams and historical data
Develop and maintain APIs that deliver analytics, trend reports, and drill-down capabilities to internal teams and external customers
Build robust infrastructure for data quality monitoring, ensuring accuracy and completeness across customer and artifact datasets
Socket helps devs and security teams ship faster by cutting out security busywork. They have raised $65M in funding from top angels, operators, and security leaders.
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.
Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
Define and evolve standards for storage, compute, data management, provenance, and orchestration.
Inspiren offers the most complete and connected ecosystem in senior living.
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. They hold over 200 million fares across 160 countries and the travel industry relies on their technology and data solutions. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Support production systems and help triage issues during live sporting events
Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
Integrate large and complex real-time datasets into new consumer and enterprise products
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Design, develop, test, and maintain scalable applications using modern frameworks.
Actively participate in Agile/Scrum ceremonies, contributing to planning, estimation, and continuous improvement.
Contribute to architectural design discussions, test planning, and operational excellence initiatives.
Tealium is a trusted leader in real-time Customer Data Platforms (CDP), helping organizations unify their customer data to deliver more personalized, privacy-conscious experiences. Team Tealium has team members present in nearly 20 countries worldwide, serving customers across more than 30 countries, winning together with respect and appreciation.
Build, manage, and operationalize data pipelines for marketing use cases.
Develop a comprehensive understanding of customer and marketing data requirements.
Transform large data sets into targeted customer audiences for personalized experiences.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
Build, maintain, and improve rock-solid data pipelines using a broad range of technologies like AWS Redshift, Trino, Spark, Airflow, and Kafka streaming for real-time processing
Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
OLX operates consumer brands that facilitate trade to build a more sustainable world. They have colleagues around the world who serve millions of people every month.
Drive data engineering work across project phases, including discovery, design, build, test, deploy, and ongoing improvement.
Design and build scalable data pipelines using Microsoft Fabric (lakehouses, warehouses, pipelines, dataflows, notebooks).
Cleanse, model, and transform raw data to support analytics, reporting, semantic modeling, and governance needs.
Stoneridge Software helps clients succeed in implementing business software solutions. As a 2025 Top Workplace Honoree and Microsoft Solutions Partner, they have a meticulous approach to project delivery and empower client's success with long-term support.
Architect and lead the evolution of our modern data platform.
Design and build production LLM pipelines and infrastructure that power intelligent operations.
Own end-to-end data acquisition and integration architecture across diverse sources.
Brightwheel is the largest, fastest growing, and most loved platform in early ed. They are trusted by millions of educators and families every day. The team is passionate, talented, and customer-focused and embodies their Leadership Principles in their work and culture.
Partner with our customer teams to develop engineering plans to implement our health system partners
Build and support robust batch and streaming pipelines
Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure
Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Design and implement event-driven pipelines using AWS services to ingest data from external sources in real-time.
Build and maintain streaming data pipelines between HubSpot CRM and PostgreSQL, handling webhook events and API polling.
Implement schema validation, data type checking, and automated quality gates at the ingestion layer to prevent bad data from entering the system.
PropHero is a property analytics platform provider. They have reached €30M revenue in 4 years, 25% QoQ growth, and are already profitable, offering a modern, cloud-native AWS data platform.
Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance.
Create and maintain data quality tests and improve existing alerting setups.
Own data warehouse by connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams.
Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology.
Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
Design and implement star schemas, data lake house structures, and semantic models for Power BI.
Optimize performance and cost management for reporting in Azure.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.