CrawlJobs Logo

Data Engineer, Analytics (Technical Leadership)

United States, Menlo Park 210000.00 - 281000.00 USD / Year · Job Posted January 29, 2026
Apply Position
Job Link Share

Job Description

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies. As we continue to expand and create, we have a lot of exciting work ahead of us!

Job Responsibility

  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define and manage SLA for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
  • Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years experience in the data warehouse space
  • 10+ years experience in custom ETL design, implementation and maintenance
  • 10+ years experience with object-oriented programming languages
  • 10+ years experience with schema design and dimensional data modeling
  • 10+ years experience in authoring SQL statements
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients

Nice to have

  • BS/BA in Technical Field, Computer Science or Mathematics
  • Experience working with either a MapReduce or an MPP system
  • Knowledge and practical application of Python
  • Experience working autonomously in global teams
  • Experience influencing product decisions with data

What we offer

  • bonus
  • equity
  • benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Engineer, Analytics (Technical Leadership)

8 matching positions

Senior Java Big Data Technical Engineer

The Applications Development Technology Lead Analyst is a senior level position ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of relevant experience in Apps Development or systems analysis role
  • Extensive experience system analysis and in programming of software applications
  • Experience in managing and implementing successful projects
  • Subject Matter Expert (SME) in at least one area of Applications Development
  • Ability to adjust priorities quickly as circumstances dictate
  • Demonstrated leadership and project management skills
  • Consistently demonstrates clear and concise written and verbal communication
  • Highly experienced and skilled Java & Big Data Engineer technical lead with 10+years of experience with software building and platform engineering
  • Extensive knowledge of HDFS, Hive(Relevant experience of 8+ years)
  • Hands-on development expertise in Java with Spark
Job Responsibility
Job Responsibility
  • Contribute significantly to both engineering and research initiatives within the EAP domain
  • Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
  • Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
  • Develop, Lead and inspire a team of developers working on cutting-edge applications
  • Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
  • Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
  • Review and analyze proposed technical solutions for projects
  • Contribute to formulation of strategies for applications development and other functional areas
  • Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
  • Provide evaluative judgment based on analysis of factual data in complicated and unique situations
  • Fulltime
Read More
Arrow Right

Staff Analytics Engineer - Foundational Data

Our mission in the Foundational Data team is to build and maintain high quality ...
Location
Location
United States
Salary
Salary:
194000.00 - 240000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience with a BS/Masters or 6+ years with a PhD
  • Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
  • Expertise using business intelligence and reporting tools like Superset and Tableau
  • Expertise in large-scale distributed data processing frameworks like Presto or Spark
  • Expertise in data modeling for data warehouses and/or metrics repositories
  • Experience with an ETL framework like Airflow
  • Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
  • Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
  • Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…)
  • Strong capability to forge trusted partnerships across working teams
Job Responsibility
Job Responsibility
  • Develop high quality data assets to satisfy a wide range of use-cases
  • Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
  • Collaborate and build strong partnerships with other data practitioners throughout Airbnb
  • Influence the trajectory of data in decision making
  • Improve trust in our data by championing for data quality across the stack
  • Influence event logging instrumentation best practices and participate in architecture designs
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Principal Data And Analytics Engineer

The Principal Data and Analytics Engineer holds comprehensive responsibility for...
Location
Location
United States
Salary
Salary:
108086.00 - 180144.00 USD / Year
oreillyauto.com Logo
O'Reilly Auto Parts
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra)
  • Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control
  • Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery aligned to medallion architecture
  • Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats
  • Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases
  • Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions
  • Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect
  • Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns
  • Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance
  • Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives
Job Responsibility
Job Responsibility
  • Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms
  • Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities
  • Architect and design highly scalable, resilient, cost optimal and secure data platforms
  • Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data
  • Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies
  • Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies
  • Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains
  • Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks
  • Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks
  • Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling
What we offer
What we offer
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth
  • Fulltime
Read More
Arrow Right

Technical Support Escalation Engineer - Data Platform

Interested in being on the cutting edge of Cloud Services? Then come join Micros...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 5+ years of technical support, technical consulting experience, or information technology experience
  • OR 7+ years of technical support, technical consulting experience, or information technology experience
  • OR equivalent experience
  • 3+ years of experience in a customer-facing or support role in any of the following: technical escalation support, product support, developer support, IT DevOps, IT Admin/support, Systems Development, or Consulting or IT/Network Operations
  • 2+ years of experience in one or more of the following: Microsoft Azure Platform
  • Azure Networking Services, Azure Virtual Machine, Azure Storage
  • Microsoft Azure Analytics – Azure Databricks
  • Experience in any JAVA, JavaScript, Python, R, Scala, REST concepts, PowerShell
  • Familiarity with development: tools, language, process, methods, troubleshooting
  • Experience with Data Integration solutions and services
Job Responsibility
Job Responsibility
  • Lead engineering investigations to bring quicker issue resolution to support incidents impacting our customers and improve customer experience
  • Build solutions, help create tools, help automate issue detection and diagnosis, to enable customers or support to self-resolve the issues
  • Identify emerging trends or re-occurring escalation scenarios and drive engineering opportunities to mitigate and/or eliminate them from the workflow
  • Contribute to product improvements by filing impactful bugs, design change requests and helping developers to fix and ship them to production, preventing customers from being impacted
  • As a trusted advisor to the Microsoft Azure engineering team and the Serviceability Technology Lead, you will suggest changes to future versions to better equip our support teams as well as our partners and customers and help influence in-market solutions today
  • As a customer ambassador, you will also partner with engineering leadership for strategic technical, architectural and design discussions, and drive strategic thought leadership for Azure Diagnostics/UDE tools creation and usage worldwide bringing the customer voice to the center of impactful decisions
  • Able to work well in challenging situations while exhibiting flexibility and ability tolerate and manage through ambiguity and uncertainty
  • Beyond extensive technical and product focus, this role requires the ability to frame and communicate issues and recommendations clearly and concisely, show exceptional attention to detail, and demonstrate the ability to build broad relationships with the right influencers, leveraging those relationships to impact key business results
  • Work directly with our Azure Databricks Product Group to provide world-class engineering support at a product component level
  • Perform complex product debugging and remediation when needed
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Infrastructure Data & Analytics

We are seeking experienced Infrastructure Data & Analytics Engineers to join our...
Location
Location
United States , Multiple Locations; Mountain View; San Francisco Bay area; New York City metropolitan area
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems
  • OR equivalent experience
  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems
  • OR equivalent experience
  • Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems
  • Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar
  • Strong communication skills
  • can explain complex systems clearly to senior leader
Job Responsibility
Job Responsibility
  • Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking
  • Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
  • Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production)
  • Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility
  • Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality
  • Implement robust and fault-tolerant systems for data ingestion and processing
  • Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions
  • Identify data gaps and instrumentation issues
  • drive fixes by influencing upstream engineering teams
  • Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable
  • Fulltime
Read More
Arrow Right

Temporary Online Course Developer Data Strategy and Analytics Leadership

Brandeis University’s Rabb School of Continuing Studies is seeking a skilled onl...
Location
Location
United States
Salary
Salary:
Not provided
brandeis.edu Logo
Brandeis University
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters or Ph.D) in Computer Science, Data Science, Software Engineering or related field
  • Expertise in Enterprise Data Strategy, Analytics Leadership, and Data Governance, including designing and scaling analytical functions, developing data and AI Governance Frameworks, and aligning analytic initiatives with organizational strategy, ethical practice, and sustainability goals
  • At least 1 year of teaching or training experience (preferably online/asynchronous)
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
  • Proficiency with LMS platforms and digital authoring tools
  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork
  • Strong communication, organization, and independent work skills
  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor
  • Ability to translate interdisciplinary content into engaging, accessible learning pathways
  • Strong writing and editing skills to produce cohesive, learner-centered experiences
Job Responsibility
Job Responsibility
  • Design and build a new three credit asynchronous online course
  • Development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards
  • Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes
  • Responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines
  • Collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones
  • Course drafts will be submitted at designated intervals for feedback
  • Parttime
Read More
Arrow Right

Senior Product Manager - Technical, Quick Sight - Structured Data Analytics

Amazon Quick is a decision intelligence service for the AI era. Today, thousands...
Location
Location
United States , Seattle
Salary
Salary:
151200.00 - 204600.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Job Responsibility
Job Responsibility
  • Drive product delivery in deep partnership with engineering, applied science, and design. Drive product specifications, make crisp tradeoff decisions, and ensure high bar on the quality and user experience
  • Be hands-on with the technology. Whether that means understanding how a semantic model resolves a natural language query, how an embedded analytics SDK integrates into a partner's React app, or how a pricing SKU flows through AWS billing — you operate at the level of detail where real product decisions are made
  • Own the customer journey from first contact through enterprise-wide adoption for critical engagement. Partner with GTM and Sales teams to design onboarding pathways, migration playbooks, and growth motions that reduce friction, accelerate time-to-value, and turn successful deployments into organization-wide productivity gains
  • Engage directly with enterprise customers, ISV partners, and AWS field teams. Turn what you hear into product conviction — not just feature requests, but insight into where the market is moving and what customers will need before they know to ask for it
  • Directly contribute to business outcomes — adoption, revenue, competitive win rates, customer retention. Use data relentlessly to prioritize, to make the case for investment, and to communicate progress to senior leadership
What we offer
What we offer
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...
Location
Location
India , Chennai; Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
  • Advanced proficiency in SQL and relational database concepts
  • Strong programming experience in Python (required)
  • PySpark preferred
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised)
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques
  • Experience with BI tools such as Tableau or Power BI
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
  • Experience working with large-scale enterprise or financial datasets
Job Responsibility
Job Responsibility
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to data analytics standards around which others will operate
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
  • Resolves occasionally complex and highly variable issues
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management
  • Fulltime
Read More
Arrow Right