Senior Data Engineer I/II

LAHZO

Senior Data Engineer I/II at Lahzo focusing on data engineering and production data infrastructure. Responsible for ETL pipelines, data quality, and mentorship in a fast-growing tech startup.

Posted 7/3/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL processes, data ingestion pipelines, and transformation models while ensuring data quality and monitoring. Proficient in SQL and Python for data engineering, with a strong focus on infrastructure as code and systematic debugging.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython for Data EngineeringData Quality MonitoringInfrastructure as Code

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Hard Skills

ETL DesignData TransformationSQLPythonData Ingestion PipelinesMonitoring StrategyDebuggingCloud Data InfrastructureComplex AggregationsMulti-Step Transformations

Soft Skills

Motivated by Technical ImpactForce MultiplierSystematic DebuggerCost-Aware ThinkingAI-Fluent

Industry Keywords

Data QualityData FlowSelf-Serve ToolingProduction Data InfrastructureSLA Monitoring

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design the ETL, transformation, and modeling patterns the team builds on
Build and maintain data ingestion pipelines that move data reliably from source into the warehouse
Build and maintain transformation models — client-specific and shared
Own data quality monitoring end-to-end: define what we monitor and to what SLA — not just tune thresholds — and decide where to spend the coverage budget
Understand the full data flow from raw event ingestion through final reporting tables
Own the complex, ambiguous requests and build the self-serve tooling that keeps the routine queue off engineering's plate

Requirements

What you’ll need

5+ years hands-on data engineering, with a track record of owning production data infrastructure end-to-end
Strong SQL — production-quality, comfortable with complex aggregations, window functions, and multi-step transformations
Data transformation experience — you have built and maintained SQL-based transformation pipelines across multiple environments (dev / staging / prod)
Infrastructure as code — you can provision and manage cloud data infrastructure, set up permissions, and debug access issues without hand-holding
Python for data engineering — ETL scripts, pipeline tooling, and automation
Data-quality strategist — you've designed monitoring and alerting strategy, not just tuned an existing one
Systematic debugger — when something breaks, you trace it end-to-end across the stack rather than stopping at the first symptom
AI-fluent but grounded — you use AI tools to move faster and validate more thoroughly, and you still understand what is happening underneath. You are not chasing the next shiny tool instead of shipping.
Motivated by technical impact — you want to be the person who truly understands the systems, and you see growing expertise as the path to more interesting and higher-impact work
Cost- and scale-aware — you think about partitioning, clustering, and spend before it's a problem
A force multiplier — you make the people and systems around you better

Benefits

Comp & perks

medical
vision
dental
unlimited PTO
a 401k
collaborative, growth-focused, high-trust, high-performance environment where your ideas matter