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Dropbox

Dropbox is the one place to keep life organized and keep work moving.

Staff Data Engineer, Analytics Data Engineering

Data EngineerData EngineerOtherRemoteLeadTeam 1,001-5,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

83 days ago

Salary

$198.9K - $269.1K / year

Seniority

Lead

Bachelor Degree10 yrs expEnglishAirflowdbtPythonApache SparkSQL

Job Description

Staff Data Engineer, Analytics Data Engineering

Dropbox

Role DescriptionDropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox. This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen. You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities - Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions - Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards - Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access - Architect and implement a shift-left data governance strategy, working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production - Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement - Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable - Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. Requirements - BS degree in Computer Science or related technical field, or equivalent technical experience - 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership - 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL) - 8+ years of Python development experience, including building and maintaining production data pipelines - Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains - Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns - Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries Preferred Qualifications - Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures - Experience leading orchestration or platform modernization efforts at scale - Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar - Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent) - Track record of establishing data engineering standards and best practices in a federated analytics organization CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $198,900—$269,100 USD US Zone 3 $176,800—$239,200 USD

Benefits

  • 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Company equity, Company-sponsored outings, Continuing education stipend, Customized development tracks, Dental insurance, Disability insurance, Volunteer in local community, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Life insurance, Charitable contribution matching, Mentorship program, Paid volunteer time, Online course subscriptions available, Paid holidays, Pair programming, Paid sick days, Partners with nonprofits, Performance bonus, Promote from within, Recreational clubs, Lunch and learns, Relocation assistance, Remote work program, Restricted work hours, Return-to-work program post parental leave, Sabbatical, Free snacks and drinks, Team based strategic planning, OKR operational model, Team workouts, Continuing education available during work hours, Tuition reimbursement, Unlimited vacation policy, Vision insurance, Wellness programs, Some meals provided, Mental health benefits, Home-office stipend for remote employees, Fertility benefits, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Employee awards, Transgender health care benefits, Abortion travel benefits, Mother's room, Personal development training, Apprenticeship programs, Flexible time off

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