Data Engineering Lead

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Logo of Seer Interactive

Seer Interactive

51 - 200 employees

Founded 2002

💼 Consulting

🤝 B2B

📣 Marketing

Consulting • B2B • Marketing

Seer Interactive is a transformational digital consultancy that leverages data, technology, and artificial intelligence to innovate and optimize services in search engine optimization (SEO), paid media, analytics, and creative services. As a Certified B Corporation, Seer Interactive is committed to community impact and sustainable practices, evidenced by their significant donations and volunteer work. They offer integrated marketing strategies that deliver real insights and results, striving to make a difference and shape the future in a dynamic digital landscape.

📋 Description

• Set the technical direction and architecture standards for Seer’s data platform • Own the data platform end-to-end across BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Cloud Storage, and ingestion tools such as Fivetran • Define data modeling and serving standards using dimensional modeling, dbt incremental models, LookML, Looker, row-level security, and MCP • Structure data for agents to provide correct, deterministic answers to non-technical users • Automate dbt testing, documentation, schema-change impact assessment, and migration or backfill planning • Build triage agents that diagnose pipeline failures and data-quality alerts and fix or recommend fixes • Improve observability through AI-powered workflows • Reduce BigQuery costs and dashboard load times • Document systems through playbooks, decision records, and onboarding paths • Mentor data engineers and analysts through code reviews, pairing, and technical guidance • Collaborate with project managers and provide estimates and deadline feasibility visibility • Lead architectural decisions and influence the end-to-end operation of Seer’s data stack

🎯 Requirements

• Expert-level fluency across the GCP data stack, including BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Datastore, and Cloud Storage • Track record of architecting production pipelines end-to-end • Expert command of modular dbt projects, reusable LookML, Looker explores, embedded dashboards, and proprietary cross-platform data models • Advanced SQL skills • Expert Git and version control skills • Experience designing CI/CD pipelines with multi-stage deploys, automated test gates, and production debugging • Experience crafting layered, context-aware prompts and building LLM evaluation harnesses • Experience integrating LLMs into engineering workflows • Strong estimation skills • Track record of leading through technical authority and mentorship • Ability to work continental US-based hours • Marketing context and interest in clients, campaigns, and strategy • Ability to manage time, context-switch, juggle multiple priorities, and adapt to new tools and processes

🏖️ Benefits

• Final offered compensation determined by skills and experience • Compensation evaluated at least once a year • Remote-first work arrangement • Option to work from the HQ office in Philadelphia • Certified B-Corp organization • Inclusive environment and equal opportunity employment

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