Data Engineer II - Build Scalable Data Pipelines (Remote)

Dave; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Home office stipend

Medical, Dental, Vision Insurance

401(k) with matching

Generous PTO and holidays

Parental and caregiver leave

Team events (in-person once or twice a

Remote-friendly, virtual-first culture

Job summary

Dave is hiring a Data Engineer II to build and optimize scalable data pipelines and production data platforms. You’ll own end‑to‑end data engineering projects, partnering across Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering to deliver reliable, cost‑effective data solutions.

You’ll work with Snowflake, dbt, Airflow/Cloud Composer, APIs, and cloud services, applying AI‑assisted tooling to accelerate development while upholding strong engineering standards.

Qualifications

• 2+ years of software or data engineering experience, including experience building or supporting production data systems.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Strong programming skills in Python, Java, or another general‑purpose language, plus strong SQL skills.
• Experience building or maintaining ETL/ELT pipelines and working with technologies such as dbt, Fivetran, or similar tools.
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and orchestration tools such as Airflow or Cloud Composer.
• Understanding of data modeling, data quality, relational data, and query and performance optimization.
• Strong software engineering fundamentals, including version control, testing, code reviews, and CI/CD.
• Ability to troubleshoot production systems methodically and communicate effectively with technical and business partners.

Responsibilities

• Build, maintain, and improve reliable data pipelines that ingest, transform, and deliver data across Dave’s data platform.
• Own data engineering projects and pipelines through implementation, testing, deployment, monitoring, troubleshooting, and ongoing support.
• Work with Snowflake, dbt, Airflow/Cloud Composer, APIs, files, and cloud services to support production workloads and optimize them for reliability, performance, scalability, and cost.
• Support warehouse development through thoughtful schema design, data modeling, testing, documentation, data quality practices, and query optimization.
• Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting while helping reduce recurring operational work.
• Use AI‑assisted engineering tools thoughtfully to accelerate development, debugging, documentation, and analysis while maintaining strong standards for accuracy, security, review, and engineering judgment.

Skills

Python

Java

SQL

ETL/ELT pipelines

CI/CD

Data warehousing

Education

Bachelor's degree in CS/Engineering/Math

Tools

Snowflake

dbt

Airflow/Cloud Composer

Fivetran

Job description

Dave is hiring a Data Engineer II to build and optimize scalable data pipelines and production data platforms. You’ll own end‑to‑end data engineering projects, partnering across Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering to deliver reliable, cost‑effective data solutions.

You’ll work with Snowflake, dbt, Airflow/Cloud Composer, APIs, and cloud services, applying AI‑assisted tooling to accelerate development while upholding strong engineering standards.