Identify, design, and implement internal process improvements to automate manual processes and optimize data delivery.
Collaborate with data and analytics experts to enhance functionality in data systems.
Develop ETL jobs using MSSQL, Snowflake, Talend, and other tools to move data from OLTP databases to the Data Lake.
GreenSky is a financial technology company that provides innovative lending solutions. The company fosters a culture of collaboration and data-driven decision-making.
Design, develop, and maintain enterprise data integration solutions using Talend and related tools.
Build scalable ETL/ELT pipelines and support production environments with strong SQL and API integration.
Collaborate with cross-functional teams and apply AI-assisted tools to enhance data quality, governance, and compliance.
The hiring partner is an organization focused on enterprise data integration and modernization initiatives, often serving regulated sectors. They offer a remote, collaborative environment with a distributed technical team and exposure to AI-assisted development tools.
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 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.
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.
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 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, develop, maintain, and optimize ETL and data transformation processes.
Develop and maintain Apache Spark-based data pipelines and contribute to data integration initiatives.
Ensure data quality, reliability, and performance across data processing solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, the company delivers impactful, future-ready solutions.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Maintain and monitor Kafka, Hadoop, Presto, and RDBMS systems.
Ingest, validate, and process internal and third-party data flows.
Build Kafka consumers using Spark Streaming for near-real-time aggregation.
PulsePoint sits at the intersection of healthcare and adtech, helping brands interpret health journey signals. We are 300+ employees, growing, and a leading player in the US healthcare ad market.
Design and implement scalable lakehouse architectures using Bronze, Silver, and Gold patterns with technologies like Kafka, Spark, and Airflow.
Build and manage high-performance streaming and batch data pipelines and open table format solutions such as Iceberg, Delta Lake, and Hudi.
Optimize distributed query environments, maintain platform reliability, and partner with data scientists and product teams to deliver impactful data capabilities.
The partner company is building scalable data platforms that power analytics, machine learning, and next-generation products. They offer a collaborative and supportive work environment focused on innovation and continuous learning.
Design and maintain large-scale cloud data infrastructure for healthcare applications.
Build efficient ETL pipelines, self-service tools, and microservices using Azure, Snowflake, and Databricks.
Collaborate with product owners and team leads to define efficient data pipelines and schemas.
Sigma Software is an IT solutions company delivering innovative technology to global clients across multiple industries. They foster a supportive environment with cutting-edge technologies and meaningful projects.
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, 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, 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.
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.
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.