Data Engineer
| Company | Lattice |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $123000 – $154000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior, Mid Level |
Requirements
- Fluency in SQL and dbt
- Proficiency in Python
- Experience with git and cloud platforms (e.g. AWS)
- Knowledge of data orchestration tools like Airflow, Prefect, or Dagster
- Excellent communication and collaboration skills
- High attention to detail and ability to think structurally about a solution
- Experience with a BI Tool (preferably Looker)
Responsibilities
- Write production-level data transformations to support stakeholders across data and business intelligence applications
- Create documentation and testing to ensure that our data is accurate and easily understandable
- Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes
- Share methodologies and instruct other data team members on how to best write data transformations
- Collaborate with cross-functional teams to support data-driven initiatives and projects
- Discover and institute best practices to ensure data quality across all facets of the data team
- Research and implement new tooling to enhance our tech stack
- Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow
- Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions
Preferred Qualifications
-
No preferred qualifications provided.