Staff Data Analytics Engineer

Job not on LinkedIn

🕒 October 13

🇺🇸 United States – Remote

💵 $169k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 0%

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CPLUG - Central PA Linux User Group

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1994

🔒 Cybersecurity

📚 Education

Cybersecurity • Education

CPLUG - Central PA Linux User Group is a community-based group located near Harrisburg, Pennsylvania, designed for individuals who are interested in learning about Linux. The group welcomes members of all skill levels, including hobbyists and professionals, to engage in discussions surrounding computers, networking, security, and various topics related to Linux. CPLUG hosts regular meetings each month to foster learning and collaboration among its members.

📋 Description

• 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

• 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

• 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

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