Intermediate Fullstack Engineer – Data Products

Job not on LinkedIn

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of GitLab

GitLab

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Develop well-scoped features, with support from Senior and Staff Engineers, for how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph, meeting team goals for data freshness, sync reliability, and graph coverage. • Build parts of integrations with external systems for business context, including Jira, observability tools, Zendesk, and ServiceNow, increasing indexed business context while meeting team goals for data completeness and freshness in the graph. • Build features for the Software Engineering Intelligence dashboards, including DORA, value stream reporting, GitLab Duo, and software development lifecycle metrics rolled up across organizational structures, meeting team goals for reporting accuracy, performance, and coverage. • Contribute to design discussions and technical direction for your features, with guidance from Senior and Staff Engineers, helping deliver secure, reliable, and performant solutions on schedule. • Raise blockers and risks early, and work with Senior Engineers to unblock your work so milestones stay on track and delivery risk is reduced. • Participate in design review and code review, and apply feedback to improve code quality, maintainability, and delivery velocity. • Build a deep understanding of the system, including the data model and the platform the team builds on, so you can ship changes more independently and resolve issues faster.

🎯 Requirements

• You find the owner, clarify the path, make the tradeoff, build the first version, and keep pushing until the work lands. • Deep production experience building and operating fullstack applications. • Hands-on fullstack proficiency with Go, Ruby, and Node. • Experience with data platforms such as ClickHouse or comparable OLAP systems, including data modeling and query optimization. • Hands-on experience building AI-powered product features. • Experience operating multi-tenant applications across software as a service and self-managed environments. • High velocity with sound judgment, strong written communication, and the ability to decompose complex initiatives into shippable milestones while creating alignment across stakeholders in an async-first environment. • Experience building third-party or API integrations.

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave

Apply Now

Similar Jobs

🕒 3 days ago

MediaRadar, Inc.

201 - 500

☁️ SaaS

Data Engineer role focused on designing, building, and operating data pipelines. Collaborating with teams across North America and India for a data delivery platform.

Airflow

AWS

Azure

Cloud

ETL

Postgres

Python

RDBMS

SQL

🕒 3 days ago

Alimentiv

201 - 500

⚕️ Healthcare Insurance

🔬 Science

💊 Pharmaceuticals

Lead Data Engineer designing and building scalable data solutions to support enterprise analytics and AI/ML. Architecting pipelines with industry-standard tools to ensure compliance and promote self-service analytics.

Azure

PySpark

SQL

Tableau

Terraform

🕒 3 days ago

Weekday (YC W21)

11 - 50

☁️ SaaS

🎯 Recruiter

Data Architect for a client in retail, collaborating on data initiatives and scalable solutions. Role entails technical leadership and project execution in a remote setting.

Python

SQL

🕒 4 days ago

MRSOOL | مرسول

201 - 500

🚗 Transport

🛍️ eCommerce

Data Engineer II at Mrsool designing scalable data platforms and data pipelines. Working with large data technologies for analytics and decision-making across the organization.

Apache

BigQuery

Cloud

Kafka

Python

Scala

Spark

SQL

🕒 5 days ago

Mondelēz International

10,000+ employees

👥 B2C

🛒 Retail

Data Engineer designing and building scalable cloud-based data solutions and managing data pipelines at Mondelēz International. Ensuring data quality and collaboration across data teams.

Airflow

BigQuery

Cloud

ETL

Google Cloud Platform

Postgres

Python

SQL

Tableau