Wikimedia Data Engineer Role

Lead technical implementation and optimization of data platform

Serve as primary technical contact for key accounts

Improve data infrastructure Optimize performance and accessibility Enable data-driven

g Collaborate with cross-functional teams Mentor and lead data

Lead development of scalable ML systems

Advance Apollo's AI-native product features

Build and productionize Machine Learning models for Apollo products

Optimize users' experience at all stages of their product journey

Build and deploy ML models for Apollo products.

Enhance user experience through data-driven insights.

Design scalable AI data platforms

Optimize ML pipeline efficiency and resource allocation

Hiring Python and Kubernetes Engineers for Data, Workflows, AI/ML, and Analytics solutions

Collaborating on end-to-end data analytics using open-source tools

Hiring a Senior Analytics Engineer remotely

Axios - Smart brevity

Building APIs and backend systems for products

Integrating with third-party systems

Develop data infrastructure and systems for various business functions

Implement data observability and monitoring

Architect scalable data pipelines and infrastructure.

Enable real-time, reliable, and high-quality data access.

Design scalable data infrastructure

Build and maintain high-quality data pipelines

Develop and automate compliance dashboards and reports

Support regulatory reporting and audit readiness

Design and scale generative AI infrastructure

Develop and fine-tune generative video and visual models

Architect scalable, secure data platforms.

Implement modern software engineering practices.

* Drive optimization in supply chain and manufacturing sector * Collaborate with cross-functional

ams to build high-quality product features * Deploy AI models to solve complex global problems *

Revolutionize enterprise data operations through AI solutions.

Automate and accelerate data tasks for overworked data teams.

Propose, design, and provision cloud-native data solutions.

Lead a technical team operating modern data platforms.

Design and implement scalable data architectures

Lead and mentor engineering teams

Design and implement scalable cloud-native data platforms

Optimize and automate data platform performance

Lead and motivate client technical teams for modern data platforms

Maintain knowledge of modern data technology for best practices

Lead end-to-end ML ad targeting product development

Drive technical research and strategic roadmap

Design and maintain scalable data pipelines

Ensure data quality, reliability, and performance

Conduct SQL analysis for actionable insights, Maintain and optimize ML models, Analyze unstructured

logs, Develop ETL pipelines, Collaborate with engineering

- Manage platform APIs and AI capabilities - Oversee data system scalability and performance -

borate with data science and product teams - Implement AI and ML models into the platform - Ensure

Deliver actionable business insights

Develop and optimize data pipelines

Mine and analyze large-scale business data

Develop and maintain dashboards and reports

Design and maintain scalable data pipelines

Ensure data quality and governance

Enhance data pipelines and models, Drive data-driven decision-making, Collaborate with

teams, Optimize data infrastructure, Analyze product

- Develop data pipelines and transform data - Optimize data infrastructure for decision-making -

lyze product data and improve solutions - Enhance mental healthcare through data insights - Drive

- Design and implement Data Pipelines with platform services and serverless solutions - Develop and

test ingestion pipelines from various sources - Create data transformations with SQL, Python, PaaS,

Design and develop infrastructure and tools for data systems; Generalize data points for multi-dimensional data stores; Build analytics lakehouse; Translate stakeholder requirements to solutions; Champion agile software development practices

None

Own foundational data artifacts for the business domain Mentor, coach, and advocate for team

Design and build scalable data pipelines Contribute to data architecture and governance Ensure

. Reduce emissions through technology innovation

. Collaborate with global enterprises

Build infrastructure software for data platforms, mentor engineers, provide HR support, collaborate

internationally in forensic accounting, hire exceptional talent, drive future

- Build production-grade data pipelines - Collaborate with cross-functional teams - Take on new

lenges and responsibilities - Shape company culture - Solve real-world complex

- Enhance data solutions for sustainable food systems - Lead customer onboarding and supply chain

implementations - Transform sustainability goals into actionable solutions - Drive product

Enable informed decision-making through accessible data

Lead data vision and architecture for impactful insights

Enhancing media sales innovation through automation and intelligent proposals

Driving growth and optimization for media companies and agencies

Develop scalable data processing platforms

Design and optimize data pipelines

Ensure high-quality, reliable data management.

Automate data quality assurance processes.

Deliver actionable business insights

Collaborate across cross-functional teams

Lead and mentor a data science team

Integrate analytics into business strategy

Lead global data governance strategy and execution

Build and maintain governance-aware data pipelines

Enable data-informed decision-making organization-wide

Design and implement scalable cloud-based ETL/ELT solutions

Empower developers through technical communication and content creation.

Engage actively in the DataHub community to support users.

Hiring Python and Kubernetes Specialist Engineers for Data, AI/ML & Analytics Solutions

Building open source solutions for public cloud and private infrastructure