Position Details

Type Full-Time

Experience senior

Exp. Years 3+ years

Category Data & Analytics

About this role

Senior Data Engineer at CertifID owns the data platform from modeling to pipelines, ensuring scalable, trusted analytics across the company. You’ll partner with Product, Finance, Sales, and Customer Success to operationalize analytics and support decision-making.

Key Responsibilities

Design, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights
Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting
Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows
Apply strong data modeling and warehousing principles to create analytics-optimized tables
Balance speed and quality, delivering quickly while building systems that scale with the company

Technical Overview

Design and maintain scalable data models, ELT pipelines, and analytics-ready data stores in a cloud environment; advocate for data quality and governance; leverage self-service BI to empower non-technical stakeholders.

Ideal Candidate

The ideal candidate is a senior data engineer with 3+ years of experience building production data pipelines and data warehouses in a cloud-based environment, and strong SQL/data modeling skills. They should be comfortable working cross-functionally to enable SaaS metrics and empower self-service BI for non-technical stakeholders.

Must-Have Skills

3+ years of professional experience in data engineeringanalytics engineeringbusiness intelligenceor a closely related roleStrong SQL skills and hands-on experience with data modeling for analytics use casesExperience building and maintaining production data pipelinestransformationsand warehouses in a cloud-based environmentComfort working with self-service BI and analytics toolsA hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirementsExperience supporting SaaS metrics such as revenueusagebillingor customer health reportingStrong understanding of data warehousing concepts (fact/dimension modelingperformance optimizationdata quality)Proven ability to deliver quickly without compromising technical quality

Tools & Platforms

Amazon Web ServicesGoogle Cloud PlatformMicrosoft AzurePostgreSQLSQLPython

Required Skills

3+ years in data engineering / analytics engineering / BI; Strong SQL; Data modeling; Production data pipelines; Cloud-based data warehouses; Self-service BI; SaaS metrics; Data warehousing concepts; Cross-functional collaboration

Hard Skills

SQLData modelingELT pipelinesData warehousesCloud-based environmentSelf-service BIAnalytics toolsPythonAPIs

Soft Skills

ownershipcross-functional collaborationcommunicationproblem-solvingcuriosity

Industry & Role

Industry Fintech

Job Function Own data platform architecture and analytics to enable data-driven decision making

Role Subtype Data Engineer

Tech Domains SQL / PostgreSQL, Python, Amazon Web Services, Google Cloud Platform, Microsoft Azure, Data Warehousing, ETL, BI Tools

Keywords for Your Resume

senior data engineerdata engineeringsqldata modelingetldata pipelinesdata warehousecloudawsgoogle cloud platformazuresaas metricsself-service bianalytics toolingcross-functionalremoteproduct analyticsbilling datacustomer healthdata qualitySQLData modelingELT pipelinesData warehousesCloud platformsSelf-service BISaaS metricsData qualityCross-functionalRemote

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile