Senior Data Engineer

F5
Guadalajara
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Communication","Mentoring","Collaboration"]

Design, build, harden, and productize enterprise data products for F5’s data ecosystem. You’ll develop SQL/Python transformation logic, optimize Snowflake and dbt assets, and create governed data models and integration patterns via APIs and SaaS connectors. The role also supports business-facing analytics and natural language/agent-assisted experiences, emphasizing reliability, security, performance, and cost-effective delivery at enterprise scale.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
F5
F5
8 hours ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design, build, harden, and productize enterprise data products for F5’s data ecosystem. You’ll develop SQL/Python transformation logic, optimize Snowflake and dbt assets, and create governed data models and integration patterns via APIs and SaaS connectors. The role also supports business-facing analytics and natural language/agent-assisted experiences, emphasizing reliability, security, performance, and cost-effective delivery at enterprise scale.
Location: Guadalajara
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and ship enterprise data products, dbt transformation logic, and Python-based data workflows for analytics, reporting, and data science pipelines.
  • •Develop SQL/Python code for data transformation, business logic, automation, API integration, and SaaS platform integration.
  • •Build and optimize Snowflake and dbt assets (tables, views, models, stored procedures, tests, macros) with governed access patterns.
  • •Harden business-facing analytics and AI-enabled experiences by ensuring governed, secure, semantically accurate, performant data assets and retrieval patterns for natural language and agent-assisted use cases.
  • •Lead complex data engineering initiatives end-to-end (discovery to adoption), translate business needs into technical requirements, perform root cause analysis, and mentor engineers/contractors via standards and peer reviews.

Key Requirements

  • •8+ years designing and building enterprise data platform capabilities at scale, with hands-on development and advanced SQL proficiency in query optimization, transformations, and data modeling.
  • •5+ years designing data models, data marts, semantic layers, data warehouses, or enterprise data standards.
  • •5+ years developing ETL/ELT and transformation logic or curated data products using tools such as Snowflake and dbt, plus ingestion/orchestration technologies (e.g., Azure Data Factory, Fivetran).
  • •3+ years of Python development for data engineering, automation, API integration, custom data applications, SaaS integrations, or data science pipeline support.
  • •Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Mathematics, Information Systems, or equivalent experience, plus experience with CI/CD and source control (e.g., GitLab, GitHub Actions, Azure DevOps).
Experience:8+ yearsData platform engineeringAnalytics engineeringETL/ELTData engineeringData modelingSaaS integrationAI/ML-enabled analytics
Education:Bachelor's in Computer Science, Data Engineering, Software Engineering, Mathematics, Information Systems
Skills:Analytical thinkingProblem-solvingCommunicationMentoringCollaboration
Tech Stack:SQLPythonSnowflakeDbtSnowpipeSnowparkStreamlitDatabricksSparkDelta LakeMLflowLLMAPIsJSONXMLCloud servicesAzureAWSGitLabGitHub Actions

Company Brief

F5
Provides application delivery networking, load balancing, and security solutions for on-premises and cloud environments, helping organizations optimize, secure, and scale applications and APIs across multi-cloud infrastructures.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 1996
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn