Remote Data Jobs · Terraform

In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with Data Mesh vision and target architecture. Turning data into impact is key. You will design, build, and maintain efficient and reliable data pipelines and develop and optimize data models for analytics and reporting.

We’re seeking a seasoned Staff Data Engineer to lead the design, development, and scaling of our modern data platform. This role is ideal for someone who thrives in building and designing robust data systems. You’ll be instrumental in shaping our data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics.

Design and build a next-gen data platform for one of Blue Coding's clients, leading the end-to-end ingestion, transformation, and governance of document-centric datasets stored in S3. Set up a scalable data lake and warehouse that powers analytics, dashboards, and AI model training. Balance hands-on engineering with clear stakeholder communication, turning client feedback into actionable sprint plans.

Seeking a Data Engineer to build and evolve Jusbrasil's data pipelines and architectures. You will be responsible for designing, developing, and maintaining data ingestion, processing, and storage systems, ensuring scalability, governance, and performance in a dynamic and collaborative environment. You will work alongside Data Engineers, Analytics Engineers, Data Analysts and Product teams, helping to transform raw data into consistent and high-value analytical assets for the company

You will be part of the data platform team, which enables applied research teams at poolside to build high quality and large datasets for pretraining and postraining, run large-scale experiments end to end from data retrieval to running evaluations and benchmarks. Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation.

Own the health, performance, and scalability of the production databases that power our PARCS platform. Lead high-availability configurations, disaster recovery planning, and performance optimization while continually improving the infrastructure that supports our products. Eliminate issues before they become emergencies; take full ownership of the data backbone supporting millions of transactions across our platform.

Shape the backbone of our data strategy—designing scalable pipelines, championing governance, and enabling AI-ready infrastructure. Lead cross-functional projects that fuel analytics, automation, and decision-making across the Playlist ecosystem. Your work will directly empower our teams to create personalized, real-world experiences for millions of users.

You will manage a team of data engineers, define the team’s mission and strategy, lead technical projects, and act as a partner to technology and business stakeholders. Responsibilities include data pipeline design, database modeling, and enhancing data reliability and scalability. You will also manage technical debt while ensuring scalability and maintainability.

Design and lead the next phase of our cloud data strategy, defining and implementing best practices for scaling data workloads across Azure and Snowflake, ensuring performance, security, and cost efficiency, shaping a robust, compliant, and future-proof data platform that empowers data-driven insights.