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Dave

Lead Data Engineer

Dave

. Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $174,000 - $224,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing production data pipelines, with strong capabilities in Python, SQL, and cloud data warehousing technologies like Snowflake. Proven ability to lead technical design reviews, mentor engineers, and establish data quality and observability standards.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencySnowflake ExperienceAirflow/Cloud Composer ExpertiseData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringSoftware Engineering FundamentalsTestingCode ReviewVersion ControlCI/CDData QualityObservabilityProduction RecoveryIncremental Processing
Soft Skills
Technical LeadershipMentorshipCommunicationProblem-SolvingNavigating Ambiguity
Tools & Technologies
GCP TechnologiesDataflowPub/SubCloud StorageDbt
Industry Keywords
FintechRegulated Data ExperienceCDCStreamingEvent-Driven Integration

Tech Stack

Tools & technologies
AirflowAmazon RedshiftBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities
  • Build and improve integrations across APIs, files, CDC and event sources, cloud services, and internal systems
  • Establish patterns for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery
  • Improve Snowflake, dbt, and Airflow/Cloud Composer workloads for reliability, scalability, performance, and cost
  • Lead technical design reviews and clarify system boundaries
  • Help teams make thoughtful architecture and delivery trade-offs
  • Mentor engineers and strengthen engineering standards through documentation and durable solutions
  • Partner with engineering and business teams to turn evolving needs into scalable data-platform solutions
  • Diagnose production issues and balance reliability, cost, speed, and durability
  • Use AI-assisted engineering tools while maintaining security, validation, quality, and human accountability

Requirements

What you’ll need
  • 5+ years of software or data engineering experience, including significant ownership of production data systems
  • Strong Python and SQL skills
  • Solid software engineering fundamentals including testing, code review, version control, and CI/CD
  • Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift
  • Experience with orchestration and transformation frameworks such as Airflow/Cloud Composer and dbt, or comparable technologies
  • Strong understanding of data modeling, incremental processing, data quality, observability, and production recovery
  • Demonstrated architecture judgment and experience providing technical leadership and mentorship across teams
  • Ability to navigate ambiguity, clarify ownership, and communicate technical and business trade-offs clearly
  • Fintech or other high-stakes or regulated data experience is a bonus
  • CDC, streaming, event-driven, or high-volume integration experience is a bonus
  • Experience with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage is a bonus
  • Experience with metadata, lineage, semantic layers, governance, privacy, or AI-ready data platforms is a bonus
  • Permanently authorized to work in the United States without visa sponsorship

Benefits

Comp & perks
  • Equity offered
  • Flexible hours
  • Virtual-first work culture
  • Home office stipend
  • Premium Medical, Dental, and Vision Insurance plans
  • Generous paid parental and caregiver leave
  • 401(k) savings plan with matching contributions
  • Financial advisor and financial wellness support
  • Flexible PTO
  • Generous company holidays, including Juneteenth and Winter Break
  • All-company in-person events once or twice a year
  • Virtual events throughout to connect with team members and leadership