Design and maintain scalable ETL pipelines for large-scale data migration and integration.
Build and optimize AWS-based data lake and warehouse solutions using services like Glue, S3, and Redshift.
Develop Python scripts and database procedures to automate data processing and transformation.
Our partner is a technology company specializing in cloud data engineering and migration solutions. They operate with a high-impact engineering team and foster a culture of innovation and remote collaboration.
Serving as a business/technical subject matter expert for warehouse, distribution, and transportation technologies to ensure safe and efficient operations.
Developing and supporting reporting and analytics, KPIs, and dashboards to deliver cost and productivity savings.
Leading supply chain system initiatives including network optimization modeling, data cleansing, and automation.
Fresenius Medical Care is the world's leading provider of products and services for individuals with kidney disease, including dialysis machines, dialyzers, and related disposables. With around 292,000 dialysis patients treated globally and approximately 35 production sites, the company is united by a shared purpose of creating a future worth living for chronically and critically ill people.
Build an end-to-end automated revenue engine connecting product usage, CRM, and sales data.
Own the tech stack across the entire GTM engine, from data integration to automation and dashboards.
Serve as the technical backbone for a revenue team of ~20 across marketing, sales, and customer success.
Shape is a construction SaaS company digitising the construction industry, the largest and most fundamental industry globally. They have grown from 2 to over 120 people and focus on creating an organisation optimised for human flourishing.
Partner closely with Product, Marketing, Engineering, and Leadership to measure success, identify growth opportunities, and drive data-informed decisions.
Develop scalable data models, analytical frameworks, and translate complex data into clear, actionable recommendations for product strategy.
Own analyses evaluating product performance and customer behavior using cohort/retention and funnel analytics.
Felix is a healthcare company focused on providing accessible medical services. They are a remote-first organization with a small to medium-sized team, emphasizing inclusive culture and professional development.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Owns and evolves the enterprise data model across core corporate systems.
Establishes data standards, governance processes, and field-level mapping frameworks.
Partners with Data Engineering and Information Security to ensure data quality and compliance.
ConnectWise is a global software company that provides solutions for technology solution providers to manage their businesses and deliver amazing customer experiences. With over 3,000 colleagues worldwide, it fosters an inclusive, positive culture that values unique contributions.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Design and refine deduplication logic for complex scenarios, using SQL and Python to automate processes.
Integrate AI tools for predictive duplicate detection and build real-time dashboards for metrics.
Collaborate with Engineering and Sales teams to improve data quality and drive actionable insights.
Motive empowers those who run physical operations with tools to make work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, Motive values diversity and inclusion.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Assess the current Azure and Fabric data environment, defining target architecture and improvement roadmaps.
Design and implement modern ETL/ELT solutions using medallion architecture and metadata-driven frameworks.
Build scalable data pipelines integrating ERP, manufacturing, finance, and quality management systems.
The company is a partner organization undergoing a strategic data transformation to build a modern Azure and Microsoft Fabric data platform. It operates across finance, supply chain, manufacturing, and business intelligence, with a collaborative fully remote team.