Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. They have raised $145M from world-class investors and maintain a remote-first work culture.
Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
Develop data analysis tools to provide insights and capture key metrics.
Columbia General is seeking a Senior Data Engineer to help transform data into actionable insights that drive decision-making. The company fosters a dynamic, collaborative environment that supports growth and innovation.
Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms.
Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making.
Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies.
Cotiviti provides payment accuracy and analytics-driven solutions, focusing on healthcare and retail sectors. They are committed to fostering a diverse and inclusive environment where team members can grow and thrive.
Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
Architect and evolve our CI/CD processes - enhancing the testing environment and observability.
Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.
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 provides collaboration and AI-powered workflow software designed specifically for military staffs, valued at $2.15B. They operate as an all-remote company with a team spanning veterans from all forces and global organizations, and technologists from leading-edge software companies.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety.
Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates.
Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm is proud to be a remote-first company with competitive benefits that are anchored to our core value of people come first.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Design and implement batch and real time ingestion pipelines from internal and external sources.
Implement automated data quality checks, observability, and SLA monitoring.
Optimise datasets and pipelines for analytics, ML training, and API consumption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams that take ownership and crave more, always on the lookout for talented people who bring passion and creativity to every project.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Design & build data observability platforms and metrics.
Build metadata driven pipeline solutions.
Fuze Health puts patients first and tirelessly addresses the most pressing needs in healthcare. They empower millions to digitally connect with care providers, essential health resources and needed treatments. The company is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors.
Design and administer cloud-native data systems using AWS services like Glue, Lambda, Redshift, and S3 to build scalable data architectures.
Develop and maintain reliable ETL processes using Python and SQL to ingest, clean, and transform complex healthcare data, optimizing pipeline performance.
Implement data security, governance, and compliance measures while collaborating with product and analytics teams to translate business needs into technical solutions.
Evio is a pharmacy solutions company founded by and working with health plans to implement transformative specialty medication initiatives. It is a lean, independent entity with six owner health plans serving over 20 million members, investing heavily in a strong, intentional team culture and values.
Quickly get up-to-speed on Zscaler’s SecOps platform, utilizing Python and APIs to configure, customize, and automate data transformations and workflows.
Partner with cybersecurity subject matter experts (SMEs) to onboard new data pipelines and map diverse IT and security sources to fulfill specific customer use cases.
Proactively troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define clear remediation steps.
Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, they leverage the world’s largest security data lake to power their cloud-native Zero Trust Exchange platform. They build high-performing teams that can make an impact quickly and with high quality.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Design and build end-to-end data pipelines across the RAW, Silver, and Gold layers of the Medallion Architecture.
Architect data ingestion, transformation, standardization, and serving processes, that structure data flows from diverse and heterogeneous sources into a coherent analytical foundation.
Model data for analytical consumption following Data Warehouse best practices, including Star Schema design and dimensional modeling suited for business intelligence and AI-readiness.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they’ve built partnerships with more than 1,000 clients during their 30 years of history, valuing diverse identities and life experiences.
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products.
Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure.
Consolidate fragmented data sources across the organization into reliable, automated pipelines.
Power Digital is a tech-enabled growth firm at the intersection of marketing, consulting, and data intelligence. They ignite revenue and brand recognition for leading and emerging companies. They are a people-first firm with a focus on diversity and have a dynamic team of consultative marketers, creatives, analysts and technologists.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and implement robust data infrastructure in AWS, using Spark with Scala.
Evolve our core data pipelines to efficiently scale for our massive growth.
Store data in optimal engines and formats, matching your designs to our performance needs and cost factors.
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification.