Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets.
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Lead the architecture and evolution of scalable, distributed data pipelines, ensuring high availability and performance at scale
Build and maintain distributed web scraping systems using tools such as Playwright, Selenium, and BeautifulSoup
Integrate AI and LLMs into engineering workflows for code generation, automation, and optimization
MercatorAI is building scalable data infrastructure to power high-quality, data-driven decision making at scale. As an early-stage company, the team is focused on creating robust, future-ready systems that can handle complex data ingestion, transformation, and delivery across a growing national footprint.
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
Auto Integrate makes leased vehicle maintenance frictionless for millions of customers in the USA and Canada. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Primarily responsible for analyzing data integrity challenges and identifying root cause analysis.
Craft client code that is efficient, performant, testable, scalable, and secure.
Actively participate in agile software development, including daily stand-ups and sprint planning.
3Pillar is a company where senior software engineers can collaborate with industry leaders and spearhead transformative projects that redefine urban living, establish new media channels, or drive innovation in healthcare. They are a global team that values well-being and offers flexible work environments.
Own the transformation layer in dbt and maintain data models.
Define and implement core business metrics as reusable, versioned data assets.
Model complex SaaS data by integrating product events, CRM (Salesforce), and support data.
SoSafe aims to be the leading human risk management provider in Europe, providing cybersecurity and data protection training. They are a fast-growing security awareness scale-up backed by VCs like Highland Europe and Global Founders Capital, expanding globally.
Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.
Guide clients on optimizing their data environment.
Develop system engineering, integrations, and architectures based on client needs.
Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
Jobgether helps candidates get their applications reviewed quickly and objectively. They use AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Own the Data Quality Backlog: intake, analysis, prioritization, tracking, and closure.
Drive Resolution of Data Quality Issues Across the Platform.
Partner Closely with the Squad (Agile Delivery).
CLD is in the Data Engineering space, offering contractor positions with remote options. They may utilize AI tools to review applications but emphasize that hiring decisions are made by humans.
Design, develop, and maintain production-quality dbt models with a focus on performance and readability.
Translate business requirements into clean, well-documented data models that analysts and downstream consumers can rely on.
Collaborate with Data Engineering on ingestion pipelines and architecture decisions, understanding Snowflake performance and costs.
Loop provides a commerce operations suite that helps merchants make smarter decisions with every transaction, focusing on returns and exchanges. They empower over 5,000 brands to protect margins and delight customers by providing data-driven insights and tools.
Turn complex growth marketing data into clear, actionable insights that accelerate client acquisition.
Automate growth marketing data solutions, reporting workflows, and pipelines to boost efficiency and minimize manual intervention.
Dive into large, complex datasets to turn findings into scalable data models that facilitate full funnel reporting, analytics, and ML models.
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion. It's a fully remote company with Krakenites in 70+ countries, who speak over 50 languages and develop premium crypto products.
Design, build, and maintain databases that power Hologram's operations.
Build and maintain ETL pipelines that move and transform data reliably.
Audit existing pipelines and data models, identify complexity, and refactor bad decisions.
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. They process over 5 billion transactions per month across their global infrastructure and values a fun, upbeat, and remote-first team united by their mission.
Projetar, desenvolver e otimizar pipelines de dados escaláveis utilizando SQL e Python/PySpark.
Construir e manter modelos de dados voltados para análise (ex: Star Schema e OBTs).
Garantir qualidade, consistência e governança dos dados ao longo de todo o pipeline.
CI&T specializes in technological transformation, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters worldwide, they have partnered with more than 1,000 clients throughout their 30-year history, highlighting that Artificial Intelligence is a key aspect of their operations.
Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
Deel is an all-in-one payroll and HR platform tailored for global teams. As one of the largest globally distributed companies, Deel's 7,000 team members span over 100 countries, fostering a dynamic culture of continuous learning and innovation.
Build and maintain analytics data models using dbt.
Implement data quality tests and validation logic, ensuring accuracy and trust across reporting layers.
Work with internal teams and sometimes clients to clarify requirements and align on metric logic.
SweedPos is a product-driven startup building an all-in-one cannabis retail platform. Their enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Coderoad is a software development company that provides end-to-end software development services. It provides an opportunity to work on exciting, real-world projects in a supportive environment, offering staff augmentation, dedicated IT teams, and general software engineering.
Own and operate our data warehouse, pipelines, and transformation layer
Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
Atticus makes it easy for any sick or injured person in crisis to get the life-changing aid they deserve. In the last six years, they've become the leading platform connecting people with disabilities to government benefits. In 2025, their team grew from 151 to 210, and they will grow again in 2026.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.