Execute ETL and data migrations for client onboarding with precision and compliance.
Manage implementation tickets and projects, following SOPs and quality checks.
Troubleshoot integration issues and communicate proactively with stakeholders.
We build an enterprise-grade cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. Our team of over 200 people works globally with a culture focused on simplicity, efficiency, and innovation.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
Builds data pipelines that feed downstream applications, including AI agents, using Google BigQuery and SAP.
Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
CI&T helps large enterprises transform with AI and technology solutions. With 6,000+ employees across 25+ countries, they foster a collaborative culture focused on innovation and real business impact.
Contributes to existing code repositories following Git best practices and communicating clearly with the team.
Builds data pipelines and develops ETL processes feeding AI agents and downstream applications.
Develops front-end interfaces for internal applications and supports machine learning models for computer vision and forecasting.
We help large enterprises transform the potential of AI into real business impact. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Architect enterprise data models, extraction logic, and KPI methodology for government advisory engagements.
Mature KPI Insights from a per-engagement effort into a scalable, standardized capability with reusable dashboards and benchmark logic.
Translate data findings into executive-level recommendations and support pre-sales technical credibility for RFP and discovery processes.
Accela provides a cloud-based platform of government software solutions that accelerate growth, efficiency, and transparency in communities of all sizes. With nearly 20 years of industry leadership, the company serves small and medium governments with robust SaaS offerings to improve citizen engagement and enable thriving communities.
Design, build, and maintain scalable data pipelines and ETL processes to consolidate commercial data into a trusted source of truth.
Develop and automate reporting for core commercial KPIs including pipeline, bookings, retention, and productivity.
Drive improvements to the Revenue Operations analytics ecosystem through scalable data infrastructure, automation, and self-service reporting.
The partner company is a fast-growing, AI-driven business that strengthens data and analytics infrastructure for commercial decision-making. It is a growing organization with a highly cross-functional environment and a focus on modernizing legacy reporting processes.
Build and maintain high-volume ingestion and ETL pipelines in Python that process telemetry from mobile endpoints.
Implement detection logic from research prototypes and design parsers for complex mobile forensic artefacts.
Ensure data platform scalability and reliability, establishing monitoring, alerting, and data quality checks.
iVerify is the first mobile threat hunting company that protects mobile devices like any other vulnerable corporate endpoint. They are a venture-backed company committed to building a diverse, equitable, and inclusive workplace.
Apply technical expertise to extract, integrate, and analyze critical data to identify business challenges and opportunities.
Develop and maintain data warehouses, datamarts, and optimize ETL processes and CI/CD pipelines.
Collaborate with cross-functional teams including Tech, Risk, RevOps, and Marketing to execute initiatives and support business objectives.
Kafene is a fintech company revolutionizing the lease-to-own space with AI-powered analytics. Our 150-person team spans NYC, Wilmington, and remote locations, and we pride ourselves on a collaborative and supportive culture.
Lead the migration of analytics workflows into BigQuery and build reliable ETL/ELT pipelines.
Consolidate on-chain and off-chain data into a trusted ecosystem and establish data governance standards.
Work closely with Data Science, Backend Engineering, Risk, and Product to translate complex needs into scalable infrastructure.
This company operates in the financial technology sector, building advanced analytics and risk management products using blockchain and crypto data. It is an early-stage, well-capitalized organization with a fully remote team that values autonomy, technical excellence, and strong ownership.