Senior Data Engineer

🕒 March 24

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Define event schemas, required fields, and compatibility rules in collaboration with the CDP team • Implement automated validation and contract enforcement to prevent breaking schema changes • Maintain versioning and compatibility guarantees for event producers and downstream consumers • Build and maintain pipelines that ingest, validate, and process high-volume product events • Ensure event streams are deduplicated, ordered correctly, and safe for downstream consumption • Partner with platform teams to ensure ingestion pipelines scale with product growth • Define and maintain identity stitching logic across anonymous and authenticated users • Handle identity merges, splits, and corrections while preserving tenant boundaries • Ensure identity resolution remains explainable, deterministic, and safe for downstream datasets • Design workflows that allow event datasets and identity graphs to be replayed or rebuilt safely • Build tooling for historical corrections, schema evolution, and dataset reprocessing • Ensure downstream models can be rebuilt without manual intervention when definitions evolve • Provide guidance and tooling that help product teams emit events consistently • Maintain validation checks and schema enforcement that catch instrumentation issues early • Collaborate with engineering teams to evolve instrumentation safely over time • Ensure deletion and suppression requests propagate correctly through event and identity pipelines • Partner with governance and security teams to support policy requirements • Define requirements and interfaces for event infrastructure and downstream analytical systems • Work with platform teams to ensure pipelines remain reliable, scalable, and observable.

🎯 Requirements

• 4+ years of experience in data engineering, platform engineering, or product data roles • Strong experience building and operating event ingestion or streaming pipelines • Experience implementing schema validation, data contracts, or event governance frameworks • Strong SQL and Python, with experience building data processing or validation tooling • Familiarity with identity resolution, entity resolution, or customer identity systems • Experience operating analytical data systems or large-scale event datasets