Vagas remotas de SQL para candidatos em Estados Unidos.

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

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

Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams

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

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.

Test Strategy & Execution: Design and execute comprehensive test plans, test cases, and test scripts for health plan claims processing systems.

React + TypeScript / JavaScript: Strong hands-on experience building production web applications with modern React, including component architecture, hooks, reusable abstractions

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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

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

Weiterentwicklung und Optimierung unserer Python-basierten Services zur Diagnostik von EV-Batterien

Background in Software Development

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.

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.

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.

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

Minimum of 7 years of experience in cloud and hybrid datacenter operations with a focus on Infrastructure as Code (IaC) and Site Reliability Engineering

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