Vagas remotas de SQL para candidatos em Estados Unidos.

Design and Execute Test Cases: Create detailed, well-structured test plans and cases based on product requirements and acceptance criteria.

Manage a team of engineers with full accountability for their performance, growth, and wellbeing

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Model a rich and expansive domain. You’ll design and implement data models for every facet of the post-production domain, as well as powerful systems to keep the Frame.io application efficient and stable.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands.

Hybrid Work Options

Motivated by designing scalable data platforms that serve hundreds of stakeholders.

Design scalable, maintainable, and secure service architectures.

🛂 Autonomy — guests check in, access their room, and manage their stay without waiting for anyone. Making that work means a system reliable enough that 96% of stays complete without any staff intervention.

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

4+ years experience in SRE, infrastructure, or platform engineering roles

Background in Software Development

Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.

Own managing our vendor/open source tooling, integrating functionality across multiple technology platforms such as GitHub Enteprise and Azure DevOps

Architect and build the core Growth Analytics data environment with Snowflake as the central platform

Design and evolve data pipeline architecture and storage systems, driving technical direction across the team

included coursework in object‑oriented programming, system architecture, computer networks, advanced data structures, and computer and network security.Position requires willingness to travel and relocate as needed. Min.

Design, build, and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, and GitHub Enterprise

Must be a US citizen