Senior Data Engineer
About The Position
We are looking for a Senior Data Engineer to join our team. The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. This individual’s expertise and leadership will enable all members of the Data Operations team to be successful in their roles.
Requirements
- Bachelor's Degree in Data or Climate Science, or a related field
- 5+ years of professional experience
- Data operations: Experience with the design and use of databases, such as PostgreSQL
- Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.
- GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools
- Strong understanding of probability and statistics as applied to spatial data
- Expertise using scripted languages to build data pipelines on both local and cloud-based systems
- Proficiency with source control platforms such as Git
- A science-based approach with a high degree of concern for reliability, accuracy and reproducibility
- Experience in GIS and/or geospatial statistical analysis
Nice To Haves
- experience in DBT and Spark
- Previous experience in the physical sciences
- Masters Degree Preferred
Responsibilities
- Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.
- Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.
- Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark
- Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
- Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
- Design and implement quality assurance checks on the climate risk data and derived statistics
- Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics
Benefits
- Competitive salary commensurate with experience
- Ownership interest in the company via Employee Stock Option Plan
- Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
- 15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
- Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
- Vision and dental benefits with partial employee contribution
- 12 weeks of paid parental leave
- Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
- Company 401k program
- Commuter benefits
- Life Insurance
- Tech startup environment
- Weekly team meals and an office stocked with coffee and snacks
- Working on the world’s biggest issue with other passionate professionals
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
