Data Engineer, Analytics (Generalist)
Menlo Park, CA | New York City | San Francisco, CA
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 see a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the brightest 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 strong data infrastructure and data architecture skills as well as experience in 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, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong 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!Data Engineer, Analytics (Generalist) Responsibilities
- 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.
- 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 writing SQL statements.
- Experience analyzing data to identify deliverables, gaps and inconsistencies.
- Experience managing and communicating data warehouse plans to internal clients.
- 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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Tags: Architecture Computer Science Data quality Data warehouse Engineering ETL Mathematics MPP OOP Physics Pipelines Privacy Python Security SQL Unstructured data VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Privacy-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Deep Learning-related jobs
- Open TensorFlow-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Hadoop-related jobs