Design and build scalable data pipelines using Apache Spark and cloud technologies.
Develop and maintain data integrations and transformation processes from multiple sources.
Collaborate with technical teams to ensure data quality and optimize data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on using technology to streamline the hiring process and offer a remote work environment.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Define and enforce best practices and coding standards across the project.
Design, develop, and maintain robust and scalable Spark applications.
Work closely with cross-functional teams to deliver high-quality software solutions.
Exadel is an AI-first global tech company with 25+ years of engineering leadership and over 2,000 team members. With a culture of ambition, collaboration, and constant evolution, they power Fortune 500 clients including HBO, Microsoft, Google, and Starbucks.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
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.
Lead a team of data engineers to design and optimize scalable data solutions.
Architect and implement large-scale streaming and batch data processing using Kafka, Spark, and Hadoop.
Collaborate with cross-functional teams to define data strategies and ensure data governance and quality.
The company is a technology-focused organization that builds scalable data platforms. It offers a fully remote work environment with a collaborative culture and international teams.
Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.
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.
Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
Partner with analytics, data science, and machine learning teams to provide data solutions.
Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
You will develop and maintain end-to-end data pipelines and contribute to Samsara's Data Platform for advanced automation and analytics.
You will design, build, and optimize large-scale Spark and PySpark workflows for batch and streaming data processing.
You will build and maintain MCP servers and AI agents, and champion data engineering best practices across the team.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights. As a recently public company, they foster a culture of autonomy, support, and rapid career development in a hyper-growth environment.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Own end-to-end customer engagements, architecting multi-cloud deployments and writing production-grade code.
Build complex data pipelines and integrations across cloud data platforms like Snowflake and Databricks.
Mentor junior engineers, influence product evolution, and serve as a cross-functional catalyst across Sales, Product, and Engineering.
Matillion is the company behind Maia, the AI Data Automation platform that eliminates manual data engineering. They have teams across the UK, US, and India, and are driven by curious, energetic people who move fast and think big.
Own production data pipelines end-to-end, ensuring reliability, performance, and scalability. - Build and optimize data solutions using PySpark and Foundry tools to process massive datasets. - Champion data quality by designing monitoring and validation frameworks to guarantee trusted data.
We are an IT solutions company providing innovative information and communication technology services. We have grown to over 3,900 employees and are the second largest employer in eastern Slovakia, with a culture focused on continuous improvement and transformation.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Design and deliver near real-time data solutions for the analytics platform.
Analyze business needs, optimize data models, and identify slow queries for performance improvement.
Write clean, scalable code using Scala, Python, and SQL while mentoring team members.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide. It is a unicorn startup with offices across multiple countries and a focus on innovation and collaboration.
Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.