Lead Data Engineer (Intelligent Foundations and Experiences) Job at Capital One (McLean, Virginia)

Lead Analytics Engineer

As a Lead Analytics Engineer, you'll join a large impactful team of data & analy...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation
Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models
Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift
Lead architectural and technical decisions for secure, performant, and scalable data products
Deep expertise with a modern data transformation tool like dbt (data build tool)
Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence
Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)
Ensure data quality, schema governance and monitoring across pipelines
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Drive the creation of reusable data products across multiple parts of the organisation

Job Responsibility

Lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders
Building and scaling our data models
Mentoring the team, setting best practices, and driving the technical roadmap
Delivering high-quality, well-documented solutions that directly serve our internal customers
Lead by example, elevate engineering practices, and drive technical excellence across domains

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Lead Analytics Engineer

As a Lead Analytics Engineer, you'll join a large impactful team of data & analy...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation
Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models
Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift
Lead architectural and technical decisions for secure, performant, and scalable data products
Deep expertise with a modern data transformation tool like dbt (data build tool)
Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence
Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)
Ensure data quality, schema governance and monitoring across pipelines
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Drive the creation of reusable data products across multiple parts of the organisation

Job Responsibility

Lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders
Building and scaling our data models
Mentoring the team, setting best practices, and driving the technical roadmap
Delivering high-quality, well-documented solutions that directly serve our internal customers
Elevate engineering practices, and drive technical excellence across domains

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Principal Software Engineering Manager - Business Enablement

Xbox's Creator Onboarding, Release, and Support (CORS) organization is on a miss...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years people management experience
Experience with CRM platforms (e.g., Dynamics 365), data engineering pipelines, or business process automation
Experience leading distributed and geographically diverse engineering teams, including vendor partner management
Familiarity with cloud-scale service operations, incident management, and SRE practices
Track record of building inclusive teams and fostering psychological safety in engineering organizations
Experience with security compliance frameworks and secure-by-design engineering practices

Job Responsibility

Lead, coach, and grow a diverse engineering organization spanning software engineering, CRM/Dynamics 365, data engineering, and site reliability across multiple geographies and vendor partnerships fostering a culture of belonging, continuous learning, and high performance
Own the technical vision and engineering roadmap for Xbox's core business systems including partner onboarding, developer identity, CRM, contract automation, and data platforms ensuring alignment with CORS's strategic priorities and long-term organizational goals
Drive production reliability and security excellence across a broad service portfolio, championing Secure Future Initiative (SFI) compliance, incident readiness, and operational rigor as foundational engineering practices
Lead AI-driven modernization of business processes, replacing manual workflows with scalable, intelligent automation that accelerates the creator journey and unlocks new partner capabilities
Collaborate across CORS and Xbox Business teams with Product Management, Business Development, and peer engineering teams to align on priorities, resolve cross-team dependencies, and deliver cohesive end-to-end creator experiences

Fulltime

Principal Software Consultant - AI/ML Engineer

As an ML Team Lead, you will be responsible for leading the technical direction ...

Location

Pakistan , Lahore, Karachi, Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, Software Engineering, or a related field
7+ years of professional software engineering experience with at least 5 years of hands-on experience building and deploying ML systems into production
Prior experience as a Tech Lead, Staff Engineer, or hands-on lead for AI/ML engineering teams
Strong expertise in classical machine learning domains such as forecasting, ranking, classification, and optimization
Hands-on experience building modern LLM and agentic AI systems including RAG pipelines, tool-using agents, multi-step workflows, and evaluation systems
Strong proficiency in Python and backend system development
Experience with ML frameworks such as PyTorch or TensorFlow
Strong understanding of scalable distributed systems, APIs, system integration, architecture design, and production engineering practices
Experience operating ML services at scale, including SLO management, monitoring, on-call practices, and incident response
Experience working with Kubernetes-based deployments, CI/CD pipelines, and modern cloud-native engineering practices

Job Responsibility

Lead the technical direction for the team’s ML and LLM systems, including architecture patterns, platform choices, evaluation frameworks, and engineering standards
Stay hands-on by designing and implementing complex ML and agentic AI systems, writing production-grade code, and leading through technical execution
Design, develop, and deploy scalable ML and LLM-powered applications and services in production environments
Build and optimize AI-powered solutions such as RAG systems, multi-step agents, AI assistants, chatbots, forecasting systems, ranking models, classification models, and optimization systems
Drive architecture and design reviews to ensure scalability, reliability, security, and maintainability of AI/ML systems
Own the technical roadmap for ML/LLM initiatives and translate business objectives into execution plans and scalable solutions
Collaborate closely with Product Managers, Engineers, Data Engineers, MLOps Engineers, QA Engineers, and cross-functional stakeholders to deliver business-aligned AI solutions
Establish engineering best practices for prompt engineering, model evaluation, regression testing, observability, and production readiness
Define and implement quality standards, evaluation suites, acceptance metrics, and regression plans for all AI/ML features
Ensure high availability, scalability, and resilience of tier-1 ML services through SLOs, monitoring, incident response, failover strategies, circuit breakers, and multi-zone deployments

Fulltime

Machine Learning Engineering Lead

As our Machine Learning Engineering Lead, you will be responsible for building a...

Location

United States , New York; Philadelphia; Pittsburgh; Plymouth Meeting

Salary:

200000.00 - 250000.00 USD / Year

Credit Genie

Expiration Date

Until further notice

Requirements

7-10+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity
Strong foundation in Software Development and prior experience leading impactful ML software projects
Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability
Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …)
Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features)

Job Responsibility

Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team
Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences)
Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements
Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team
Have fun working on hard and highly impactful problems

What we offer

Offers Equity
Offers Bonus
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox
401(k) with a 3.5% match and immediate vesting
Meal program available for both lunch and dinner
Pre-tax benefits, including a $1,000 HSA match
Life and accidental insurance
Flexible PTO

Fulltime

Director of Data Engineering and Agentic AI Automation

We are looking for a Director of Data Engineering and Agentic AI Automation to l...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Job Responsibility

Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Engineering Manager, API

We're looking for an Engineering Manager to lead the team responsible for Runway...

Location

United States

Salary:

280000.00 - 340000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams
5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure)
Strong product sensibility and business acumen
Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience
Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling
Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity
Excellent cross-functional communication skills
Comfort with ambiguity and rapid iteration
Empathetic and inclusive leadership style that empowers engineers to do their best work

Job Responsibility

Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow
Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love
Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company
Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement
Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities
Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics)
Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals

Fulltime

Data engineer AI and Analytics - Vice president

We are seeking a highly skilled and forward-thinking Vice President to lead our ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server)
Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem)
Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles
Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale
Strong data modeling skills for both transactional and analytical use cases
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight

Job Responsibility

Unified Data Platform Ownership:Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores
AI & Advanced Analytics Enablement:Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data
Real-Time API Management:Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure
Data Integrity & Scale:Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems
Measurement & Analytics:Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models
End-to-End Ecosystem View:Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed
Technical Strategy:Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities

Fulltime

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Lead Data Engineer (Intelligent Foundations and Experiences)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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