Lead Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $174k - $224k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Dave

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🏦 Banking

👥 B2C

Fintech • Banking • B2C

Dave is a financial services company that aims to provide a fair and affordable banking experience for individuals who feel overlooked by traditional banks. The company was founded on the belief that banks have built products that are often predatory, exemplified by high overdraft fees. In an effort to combat this, Dave offers features like $500 advances, fee-free goal tracking, and support for individuals seeking side hustles to improve their financial situations. Their mission revolves around leveling the financial playing field and making financial solutions accessible to everyone.

📋 Description

• 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

• 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

• 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