Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design, build, and maintain robust ETL/ELT pipelines for analytics and reporting on AWS and Databricks.
Develop data processing workflows using Python, SQL, and PySpark within Delta Lake lakehouse environments.
Collaborate with architects and analysts to define data integration standards, optimize performance, and support governance.
Attain Talent is a recruitment and staffing firm that places skilled professionals with organizations like the Centers for Medicare & Medicaid Services (CMS). They focus on fair compensation, comprehensive benefits, and professional development opportunities for their employees.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Own relational and lakehouse data for a higher-education platform's program, student, and enrollment data.
Design schemas, stored procedures, and performance tuning across SQL Server and Databricks.
Implement data governance with Unity Catalog, quality checks, and CI/CD for database changes.
CI&T helps large enterprises turn AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
Design and implement scalable, high-performing data pipelines and optimize data architecture.
Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
Collaborate across teams to support data needs and ensure architecture supports ongoing and future initiatives.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. The company fosters a healthy collaborative work environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Design and build scalable data architectures across warehouses, data lakes, and lakehouse environments.
Develop, maintain, and optimize ETL/ELT workflows and reliable data pipelines using dbt, Prefect, and AWS.
Collaborate with cross-functional teams to translate business needs into effective data models and solutions.
We are a technology-driven company building scalable data infrastructure to support strategic decision-making. Our culture emphasizes collaboration, engineering excellence, and continuous improvement.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark and SQL
Build lakehouse and data platform solutions for Banking and Financial Services
Collaborate with architects, analysts, SMEs and customer stakeholders in an Agile environment
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. We are backed by 8,500+ IT professionals and a Bulgarian team of over 500 specialists, with a culture of openness, trust, and diversity.
Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Design and tune schemas, stored procedures, views, functions, and indexes for transactional and analytical data layers.
Build and maintain Databricks pipelines (PySpark/Spark SQL) and dbt models using Kimball dimensional modeling.
Implement data governance, quality checks, and sensitive data protection while mentoring mid-level developers.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across more than 25 countries, the company fosters a collaborative, diverse, and inclusive work environment focused on excellence.
Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Contribute to the design, implementation, automation, and support of enterprise-scale cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the design and development of ETL/ELT pipelines within Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Build, deploy, and monitor ML models and data infrastructure to ensure high availability, scalability, and performance.
Scout Motors is an automotive company reviving the iconic Scout vehicle as an electric pickup truck and rugged SUV brand. The company fosters an inclusive, entrepreneurial culture focused on innovation, respect, and building from the ground up.