Staff Data Analytics Engineer

CPLUG - Central PA Linux User Group

. Own the architecture and reliability of data pipelines bringing complete, timely data into the warehouse .

Posted 10/13/2026full-timeRemote • United StatesLead💰 $169,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining production data pipelines, ensuring data quality, and establishing reliable data contracts. Proficient in SQL, data modeling, and integrating data systems with applications while leveraging modern BI tools.

Highest-signal resume keywords

Data Pipeline ArchitectureSQL ProficiencyData Quality PracticesData Integration ExperienceRuby on Rails Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignRelational Data ModelingAutomated TestingVersion ControlCode ReviewData TransformationData GovernanceProduction Data QualityTechnical DocumentationAI-Assisted Engineering

Soft Skills

Clear CommunicationJudgment in Data Modeling

Tools & Technologies

Ruby on RailsDomoBI ToolsAPIs

Industry Keywords

Data ContractsBusiness IntelligenceData QualityOperational WorkflowsData Systems Integration

Tech Stack

Tools & technologies

RubyRuby on RailsSQL

About the role

Key responsibilities & impact

Own the architecture and reliability of data pipelines bringing complete, timely data into the warehouse
Build and maintain modeled, tested, and documented datasets
Define and steward core business metrics and entities
Create and maintain stable data contracts between the warehouse and Rails application
Design data quality practices including testing, monitoring, freshness expectations, and incident follow-up
Own and improve operational data writebacks and system-to-system syncs
Partner with BI teammates and business stakeholders to understand the business domain behind the data
Set technical direction for the data function and make architecture and tooling decisions
Write and review production-quality code, documentation, and pull requests
Evaluate and potentially lead migration away from a proprietary BI platform
Use AI coding tools while maintaining accountability for quality, security, testing, and maintainability
Establish dependable definitions, tests, contracts, pipelines, and engineering practices for trustworthy data

Requirements

What you’ll need

Demonstrated experience designing and maintaining production data pipelines and transformation layers
Strong SQL and relational data modeling experience
Experience with automated testing, version control, code review, and software engineering practices applied to analytics/data work
Experience defining or governing shared metrics, semantic concepts, or trusted datasets used across teams
Experience integrating data systems with applications, APIs, or operational workflows
Experience participating in or leading a BI/data tooling migration strongly preferred
Experience with Ruby on Rails or another backend application framework is a plus
Experience with Domo or another proprietary BI platform is helpful but not required
Deep SQL skills and strong judgment around data modeling, testing, documentation, version control, and production data quality
Ability to evaluate modern data and BI tools based on the problems they solve
Ability to explain technical tradeoffs clearly and translate business meaning into durable data definitions
Ability to use AI-assisted engineering intentionally while maintaining quality, security, testing, and maintainability
Must be a U.S.-based candidate and legally authorized to work in the United States; sponsorship may be required according to the application form

Benefits

Comp & perks

Work from home / fully remote
Employer-paid health insurance
Unlimited PTO (with minimums)
Pet insurance
One-week paid PTO before start date
401(k) company match
Employer-paid life insurance
Employer-paid long-term disability insurance
Donation matching
Home office stipend
Occasional in-person company/team events with full travel expenses paid
Opportunity to attend an optional in-person company event annually
12 weeks paid parental leave
Vision and dental insurance