Design and implement efficient data pipelines using Python and AWS services.
Ensure data quality, reliability, and scalability across multiple sources and formats.
Collaborate closely with data analysts, software engineers, and product teams to deliver actionable insights.
They're looking for a Mid-Level Data Engineer with strong technical skills and a passion for building scalable data solutions. They did not include information on their size or culture.
Design, build, and optimize data pipelines to centralize data in a modern warehouse (PostHog)
Automate ETL processes and existing spreadsheet-based reports
Work closely with finance and business stakeholders to understand ad hoc reporting needs and deliver efficient solutions
Katapult is a nearshore software development agency that combines the best talent in LATAM, with world-class execution and leadership experience, with an AI-first approach to product engineering. Katapult works with PMF+ startups and businesses in the United States with a team-augmentation model.
Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams.
Mirakl provides eCommerce software solutions that enable enterprises to drive growth and efficiency in their online business. With over 350 employees in France and offices in 7 countries, Mirakl is considered a Great Place to Work company that is pioneering the platform economy.
Manage day-to-day database operations including monitoring, configuration, upgrades, scaling, backups, and data migrations.
Continuously improve database operations through automation, tooling, and process optimization.
Manage backups, replication, failover, and disaster recovery (DR) strategies to ensure business continuity.
PayPay Card Corporation provides users a FinTech service that is more accessible and convenient compared to previous credit cards and credit services, by integrating with the PayPay payment platform. They are looking for passionate people to refine their products and promote cashless payments in Japan.
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, build, and maintain robust data pipelines and data models to support program outcomes, grant-funded activities, and long-term impact measurement
Develop and maintain self-service dashboards and reports that enable teams and leadership to make informed, data-driven decisions
Analyze trends and patterns across multiple datasets to surface actionable insights that guide strategy, partnerships, and program interventions
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, code, test, and debug data-driven applications in accordance with established coding standards and best practices.
Develop supporting data tooling, including data pipelines, APIs and related tools to support those applications, ensuring performant, scalable and secure solutions.
Integrate with various data sources and technologies to ensure the right data is available for the solutions in a timely manner.
EasyPost, founded in 2012, is a YC unicorn with the mission to simplify shipping for businesses, from startups to Fortune 500 companies. They provide a developer-friendly REST API for shipping. The team is rapidly growing and fosters a culture of builders and problem-solvers who value elegant architecture and fast decisions.
Develop economic models to anticipate novel systemic risks from advanced AI systems.
Build scenarios for potential economic disruptions from rapid AI advancement.
Analyze potential concentration of power dynamics across markets and regions.
CARMA helps society navigate the complex risks arising from increasingly powerful AI systems. They lower the risks to humanity and the biosphere from transformative AI through rigorous analysis, policy frameworks, technical safety approaches, and fostering global perspectives.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.