Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
Build and optimize data models in Snowflake for analytics and operational reporting.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Oowlish is a rapidly expanding software development company based in Latin America, collaborating with premier clients from the United States and Europe on pioneering digital solutions. Certified as a Great Place to Work, we offer remote work and a nurturing environment with opportunities for professional development and international impact.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design and implement data pipelines for ETL and real-time data synchronization.
Develop and manage Master Data Management solutions to maintain a Golden Record.
Work with cross-functional teams to integrate data solutions and provide actionable insights.
The company develops enterprise-level software applications and data management solutions for corporate clients. The size and culture are not specified in the posting.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
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.
Design, develop, and optimize scalable ETL pipelines and data integration solutions for enterprise reporting and analytics.
Modernize legacy SQL Server and SSRS reporting solutions by migrating to cloud-based AWS architectures using Amazon Redshift.
Partner with business and technical stakeholders to translate requirements into scalable data solutions and maintain data security and governance.
PDMI has provided pharmacy data processing and other flexible, scalable solutions since 1984, helping clients meet their business objectives. The company was voted Best Employer in Ohio for the 5th consecutive year in 2025 and fosters a collaborative 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.
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.
Design, build, and maintain automated ETL pipelines and data frameworks using Snowflake and Python.
Collaborate with business users and teams to define requirements and deliver data solutions within agile methodology.
Validate data quality, troubleshoot issues, and optimize data delivery for analysts and third-party systems.
Empeople Credit Union is a financial institution that provides credit union services to its members. They offer a remote work environment with a focus on data-driven insights and a collaborative culture.
Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling on AWS.
Develop and maintain Snowflake semantic views to support analytics and reporting needs.
Implement data access controls and ensure pipelines meet enterprise data governance standards.
The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Design and maintain scalable Zero-ETL data pipelines for analytics.
Optimize Amazon Redshift data models and Apache Airflow orchestration.
Ensure data quality, reliability, and performance across the platform.
UK Security & IT is a technology partner building a scalable analytics platform for modern data engineering. The company is remote-first with a focus on sustainability, distributed collaboration, and employee wellbeing.
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, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Analyze existing SQL code, stored procedures, ETL jobs, and data transformations.
Trace data through existing pipelines to understand how information moves across the platform.
Validate that business rules are correctly implemented within the existing technical solution.
Blend is a premier AI services provider that co-creates meaningful impact through data science, AI, and people. They emphasize a culture of innovation and collaboration, offering flexible work options and continuous learning opportunities.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Establish best practices for data modeling, governance, and security.
BlueMatrix develops web applications for the authoring, distribution, and analysis of investment research. The team consists of ambitious professionals with offices across North America and Europe.