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Valon

Empowering every homeowner with ease, security, and financial know-how.

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 51-200Since 2019H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

71 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglishBigQueryCloudGoogle Cloud PlatformPythonSQL

Job Description

Senior Data Engineer

Valon

• Own and optimize Valon’s core data infrastructure for performance, reliability, and cost efficiency as data volume and complexity grow. • Design and extend multi-tenant data architectures to support a scalable SaaS model. • Evaluate and improve warehouse design, data models, and schema strategies to minimize redundancy and maximize query performance. • Lead and execute infrastructure migrations with minimal downtime and high data integrity. • Build and maintain custom ingestion pipelines for data sources not covered by ELT vendors. • Build or integrate observability tooling for pipeline health, latency, data freshness, drift detection, and schema change monitoring. • Optimize data transformation jobs for speed and cost efficiency, identifying performance bottlenecks and refactoring as needed. • Establish and run routine maintenance processes to ensure data quality, stability, and platform consistency. • Drive a culture of data reliability engineering by codifying best practices, automation, and operational excellence. • Define and communicate the long-term data infrastructure roadmap, aligning technical evolution with Valon’s business growth. • Think strategically: What does our infrastructure need to look like at 10x or 100x scale? • Partner closely with the analytics team to enable faster insights through better tooling, performance, and documentation. • Act as a force multiplier for the broader data team - mentoring on best practices and improving development velocity across pipelines and models. • Collaborate with platform and product teams to design systems that meet business, operational, and regulatory requirements. • Occasionally take on complex, non-infrastructure data projects, such as data products or analytical initiatives, to stay close to end-user needs and maintain empathy with analysts.

Job Requirements

  • 4+ years of data engineering experience successfully creating/optimizing/scaling data stacks and supporting data teams, at least 2 years in an early- to mid-stage startup
  • Deep knowledge and experience deploying and optimizing dbt or comparable tooling
  • Experience managing multiple types of data management systems (data warehouses, data marts, data lakes)
  • Experience building/procuring tools and processes to monitor end-to-end data stack health
  • Mastery of SQL from both functionality and performance perspective
  • Fluency in writing scripts in Python or a similar language
  • Experience working with and tuning cloud data warehouses and compute environments. Experience with BigQuery/GCP a plus
  • Experience optimizing BI tool performance and managing permissions, Looker experience a plus
  • Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines
  • Strong prioritization skills, effort vs. impact thinking, stakeholder management
  • Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data
  • Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist

Benefits

  • Compensation: competitive salary and 401(k) plan
  • Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
  • Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback
  • Generous time off: 17 days paid time off, sick days, and 11 company holidays
  • Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition

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