Administer and maintain the Snowflake platform including databases, roles, and performance optimization.
Implement security, automation, and governance standards across AWS cloud environments.
Collaborate with data engineering and security teams to deliver a scalable cloud data platform.
Empower is a financial services company focused on transforming financial lives. They offer a flexible work environment and career paths, with associates volunteering thousands of hours for community causes.
Analyze and interpret complex data sets from blockchain transactions, financial markets, and customer data using statistical techniques and visualization tools.
Develop, maintain, and optimize SQL queries (Columnar databases) and leverage Python for advanced data models and machine learning.
Collaborate with cross-functional teams to translate data insights into actionable recommendations and build data-driven strategies.
Coinspaid Dev is the engineering brand behind the technology and infrastructure built within Coinspaid, with over 120 engineers and 11 years of experience. Coinspaid Solutions is a fintech company building blockchain payment infrastructure with a team of 350+ professionals working remotely across multiple countries, recognized in 2026 for Best Corporate Culture in the Blockchain Industry in Europe.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release.
Build data infrastructure for analytics, hypothesis testing, and company metrics.
Eneba is building an open, safe, and sustainable marketplace for gamers, supporting close to 20 million active users. We are a growing international team that values data-driven decision making and fosters a healthy data culture.
Own and extend our offline eval suite across AI products, building datasets, judges, and metrics for quality assurance.
Build and maintain online quality dashboards tracking resolution rate, CSAT, and LLM-as-judge signals.
Close the production feedback loop by mining failure patterns from real traffic and translating data into product decisions.
Finom is a European tech startup headquartered in Amsterdam developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over $346 million in total funding and a Series C round led by General Catalyst, the company has a start-up culture focused on innovation and thorough research, empowering employees to make a genuine impact.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Architectural Review & Validation: Assess and validate the current multi-platform data architecture and MDM strategy, identifying technical debt and integration gaps.
MDM Strategy Design: Define and deliver the master data management architecture, establishing the 'golden source of truth' for core entities across all five platforms.
Data Governance Framework: Develop and implement enterprise-grade data governance policies covering data ownership, lineage, access controls, and stewardship.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, we collaborate to build innovative solutions.
Design, build, and maintain advanced dashboards and interactive reports using Tableau.
Translate business questions into intuitive visual analytics solutions and write SQL for data preparation.
Collaborate with stakeholders across customer engagement and business functions to deliver impactful analytics.
Jobgether is an AI-powered job matching platform that helps candidates find roles by matching their profiles with employer requirements. The company uses technology to streamline the hiring process, focusing on objectivity and efficiency.
Maintain, validate, and enhance the accuracy, consistency, and integrity of large-scale databases and data repositories.
Manage data backups, security measures, and database maintenance to ensure reliable and secure information management.
Support the development and implementation of data governance standards, procedures, and best practices.
Our partner is a remote-first technology company focused on high-quality data to drive business growth and customer success. The company fosters a collaborative and innovative environment, offering a supportive culture with clear career growth pathways.
Define and evolve Xsolla's enterprise-wide data strategy to improve monetization outcomes for game developers.
Build and lead teams, roadmaps, and infrastructure to turn data into a competitive advantage.
Partner with cross-functional teams to identify where machine learning and AI can directly increase developer revenue and player lifetime value.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers and fosters a supportive, inclusive culture with 100% company-paid benefits and unlimited PTO.
Evaluate model-generated content across multiple modalities including text, images, audio, and video.
Apply defined quality rubrics such as factuality, consistency, and aesthetics to assess outputs.
Conduct independent research on unfamiliar topics to make well-supported evaluation judgments.
Our client is a global technology company that helps businesses build, train, and manage AI systems. They offer flexible, remote work with variable workload and a focus on high-quality model evaluation.