Senior Data Engineer

The data team at Valon is a force multiplier team that takes on various mission-critical workstreams across product and functional areas. We drive visibility on KPIs/metrics at all levels, transform data, build data products to enable operations/compliance at scale, and support our stakeholders in making data-driven decisions with analyses/metrics/experimentation where appropriate. At the nexus of all this is our core data stack; and we need to ensure it is performant, reliable, and cost-effective at scale.

• Manage/optimize our core data infra to ensure performance, reliability, and cost-efficacy at scale
  • Optimize transformation jobs for performance and cost
  • Reduce and stabilize data ingestion latency for mission-critical use cases
  • Build/execute periodic maintenance routines
  • Evaluate and correct any inefficiencies in data warehouse design
  • Handle critical infrastructure migrations
  • Build/procure observability tooling to give visibility into uptime/lag/drift/schema changes
  • Define and implement best practices at scale
• Build/maintain custom ingestion pipelines
  • When we need to extract data from sources not supported by EL vendors
  • When we need high-performance/low-latency solutions
• Articulate and align the team on long-term infra strategy based on company needs
  • How will our infra needs change at 10x business volume? At 100x?
• Partner with the data team to drive technical excellence and act as a force multiplier
• Take on higher complexity non-infra data/analytics projects, such as transformations, data products, controls, and analyses from time to time

• • Experience: 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
  • dbt: Deep knowledge and experience deploying and optimizing dbt or comparable tooling
  • Data Management Systems: experience managing multiple types of data management systems (data warehouses, data marts, data lakes)
  • Observability/Monitoring: experience building/procuring tools and processes to monitor end-to-end data stack health
  • SQL: Mastery of SQL from both functionality and performance perspective
  • Python: High level of comfort writing scripts in Python or a similar language
  • Data warehouse management: Experience working with and tuning cloud data warehouses and compute environments.
  • Experience with BigQuery/GCP a plusBI tool optimization/management: experience optimizing BI tool performance and managing permissions, Looker experience a plus
  • Extract and Load: experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelinesIndependence: strong prioritization skills, effort vs. impact thinking, stakeholder management
  • Systems thinking and quantitative rigor: ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data
  • Stakeholder empathy: deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist

• Base Compensation Band: $170,000 - $200,000
• Compensation; competitive salary with a meaningful stake in the company via equity and our performance bonus program 
• Health & well-being; we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits, One medical membership, and Talkspace to provide mental health support
• Food & meal allowance; in-office snacks, drinks, Tuesday dinners, and $400 monthly stipend towards your lunches or groceries 
• Grow together; learning & development opportunities including regular review cycles that feature 360 degree feedback
• Equipment; we’ll provide you with the equipment you need to be successful and a one-time $200 stipend for your initial desk setup 
• Generous time off; paid time off, uncapped sick days, and 11 company holidays 
• Baby bonding time!; 3 months off for birthing parents and 2 months off for non-birthing parents - fully paid so you can focus your energy on your newest addition