Senior Data Engineer
at Dave
Remote, Oregon, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 01 Jan, 2025 | USD 222000 Annual | 03 Oct, 2024 | 4 year(s) or above | Good communication skills | No | No |
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Description:
Dave is seeking an experienced and passionate Senior Data Engineer for our Data organization. Data Engineering’s mission is to make all data available to Dave and to continuously support Dave’s members. This role will partner directly with product managers, engineers, marketing, and other business partners across the business to design, develop, and continuously improve the data infrastructure and pipelines that lake, warehouse, stream, and distribute Dave’s data. As a Data Engineer at Dave, you will enable Dave’s growth and data-driven decision-making while keeping our member’s data safe.
TOOLS WE USE:
- Python, Java, Scala, and TypeScript, Terraform
- Google Cloud Services including: Dataflow (Apache Beam), Cloud Composer (Airflow), PubSub, GCS, CloudSQL (MySQL).
- Snowflake Services
- DBT, GitHub
- Fivetran, Monte Carlo, Mode Analytics
Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.
How To Apply:
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Responsibilities:
- Design, develop, and implement data solutions, including architecture design, test plans, coding, prototyping proof of concepts, development of standards, implementation, and data solution debugging.
- Optimize existing data pipelines and create new ones to manage data sets while learning the platforms from which we extract data; Develop and maintain third-party API processes for data pipelines.
- Design, implement, and manage data warehouse solutions.
- Support and maintain data and database systems to meet business delivery specifications and needs. Document structure and processes.
- Collaborate with analytics and data science teams to enable them to create data-driven insights and launch new models to scale the impact.
- Collaborate with various business and engineering teams to ensure reliable, scalable, robust architecture for our data platform.
- Experience leading teams to good tools and sound technical solutions.
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
BSc
Computer Science
Proficient
1
Remote, USA