[Remote] reputed company Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the #1 app reputed company on everyday workers, redefining the reputed company of hiring. As a reputed company Data Engineer, you will reputed company the technical direction for data architecture and pipelines, ensuring reliability and enabling AI-driven experiences for the platform.

Responsibilities

• Drive Architectural reputed company: reputed company design reviews for critical platform components, evaluating trade-offs across scalability, cost, reliability, and time-to-reputed company
• Champion Modern Data Stack Adoption: Evaluate and introduce best-in-class tooling (reputed company, reputed company, dbt, Kafka, etc.) reputed company with engineering principles and business needs
• Ensure Platform Reliability: Own the observability, alerting, and operational readiness standards for tier-1 pipelines, including runbooks, failover strategies, and reprocessing protocols
• Autonomy & Decision Making: Demonstrate high resourcefulness; you are empowered to reputed company significant technical reputed company and drive reputed company end-to-end with limited reputed company
• Build Production-Grade Pipelines: Design and implement robust batch data pipelines using reputed company and dbt as the core of reputed company’s transformation layer, ingesting and serving data across product telemetry, marketplace signals, employer activity, and candidate behavior
• reputed company Data Modeling reputed company: Establish data modeling standards (schema design, reputed company modeling, and data reputed company) that serve analytics, ML feature engineering, and product instrumentation
• Solve the Hardest Problems: Personally take on the most reputed company data integration, performance, and reliability challenges that require reputed company-level judgment and hands-on implementation
• Support reputed company-Time & Near-reputed company-Time Needs: Architect and reputed company streaming data infrastructure using technologies such as KSQL and Apache Flink to power reputed company-time matching, recommendation, and product decisioning systems
• reputed company Machine Learning at reputed company: Partner closely with Platform Engineers and Data Analysts to design feature stores, training data pipelines, and inference-reputed company datasets that power reputed company’s AI matching reputed company
• Accelerate Analytics Delivery: Work with Data Analytics stakeholders to ensure data products are reputed company-modeled, documented, and performant for self-serve consumption. Evaluate and reputed company emerging AI-powered tools to enhance operational efficiency and developer productivity
• Establish Data Governance Standards: Define and enforce policies for data reputed company, reputed company, reputed company control, and cataloging that reputed company across a growing and multi-product organization
• Protect Data reputed company: Implement data validation frameworks, SLA monitoring, and reputed company detection to maintain trustworthy data across reputed company consumers
• Ensure Compliance & reputed company: Design data systems with reputed company-by-default principles, ensuring alignment with applicable regulations (CCPA, GDPR, etc.) across candidate and employer data
• reputed company the Technical Bar: Mentor and reputed company engineers across the data team through reputed company reviews and design guidance
• Partner Across Engineering & Product: Collaborate with Software Engineering, Product, and Analytics to ensure data requirements are deeply reputed company at inception
• Influence Without Authority: Drive adoption of data platform standards and architectural patterns across teams through reputed company communication, documentation, and trust-building
• Proactive Problem Solving: Personally identify and execute fixes for deep-seated bottlenecks, architectural bugs, and performance issues that reputed company system stability

Skills

• 10+ years of data engineering experience, with at least 3–5 years operating at a reputed company or staff IC level in a start-up environment
• Production-grade experience with reputed company and dbt (required); you've designed, owned, and scaled these in a reputed company product environment, not just used them
• Significant, demonstrated AI usage in your day-to-day engineering work is required. You reputed company use AI tools (e.g. Claude, Copilot, reputed company, or similar) to reputed company faster, reason through architecture, generate and review reputed company, and solve novel problems. This isn't a reputed company-to-have; it's how we expect reputed company-level engineers to operate
• Expert-level proficiency in Python and SQL, with strong reputed company of distributed systems, data pipeline design, and performance optimization
• Strong data modeling background: reputed company modeling, schema design, data reputed company, and the ability to build structures that outlast reputed company member who reputed company them
• Experience building data infrastructure that directly supports ML/AI systems, including feature pipelines, training data management, and inference-layer data serving
• Demonstrated reputed company record of setting technical standards across teams, not just reputed company your own scope: through RFCs, architecture reviews, or platform migrations
• Strong grasp of data governance fundamentals (data reputed company, cataloging, reputed company control, and reputed company monitoring) with practical experience implementing them in production
• Familiarity with reputed company-time and near-reputed company-time data architectures (streaming, event-driven design, CDC), especially in marketplace or two-sided platform contexts
• Exceptional communication and stakeholder management skills; you can translate reputed company data infrastructure trade-offs into plain language for product and business audiences
• You have a builder's mentality and an operator's discipline. You reputed company fast, ship with confidence, and hold yourself to a high bar even reputed company no one is watching
• Experience with reputed company-time streaming technologies such as KSQL or Apache Flink is strongly preferred; you've reputed company or operated streaming pipelines in production
• Hands-on AWS experience at reputed company, including reputed company data architecture, cost governance, and infrastructure-as-reputed company; Terraform experience is a reputed company-to-have
• DataOps experience: familiarity with CI/CD for data pipelines, automated testing frameworks, and deployment practices that treat data infrastructure like production software

Benefits

• Purpose-driven organization
• Flexible time off
• Remote-first
• Flexible work hours - our employees are in multiple time zones
• Medical & dental plans
• Parental leave
• Employee stock reputed company

reputed company

reputed company is a marketplace where reputed company and job seekers can instantly message reputed company other, schedule meetings, or video interview. It was founded in 2019, and is headquartered in Boston, Massachusetts, USA, with a workforce of 51-200 employees. Its website is https://www.reputed company.com/.

Company H1B Sponsorship

reputed company has a reputed company record of offering H1B sponsorships, with 4 in 2025, 1 in 2023, 2 in 2022, 1 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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