**About the job Senior Data Engineer**:
**How will you make an impact?**
- Build and maintain multiple data pipelines to ingest new data sources (API and file-based) and support products used by both external users and internal teams.
- Optimize by building tools to evaluate and automatically monitor data quality, develop automated scheduling, testing, and distribution of feeds.
- Work with our data science and product management teams to design, rapid prototype, and productize new data product ideas and capabilities.
- Work with the data engineering team to design new data pipelines and optimize the existing data pipelines.
- Conquer complex problems by finding new ways to solve with simple, efficient approaches with a focus on reliability, scalability, quality, and cost of our platforms.
- Build processes supporting data transformation, data structures metadata, and workload management.
- Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions.
- Main Stack
**What will you bring to us?**
- 5+ years of professional Dimensional Data Warehousing/Data Modeling and Big Data Experience
- Strong skills to write complex, highly-optimized SQL queries across large volumes of data
- Experience working directly with data analytics to bridge business requirements with data engineering.
- Experience with AWS infrastructure
- Excellent troubleshooting and problem-solving skills
- Ability to operate in an agile, entrepreneurial start-up environment, and prioritize
- Excellent communication and teamwork, and a passion for learning
- Curiosity and passion for data, visualization, and solving problems
- Willingness to question the validity, accuracy of data and assumptions
**Preferred Qualifications**:
- Experience with Redshift, Snowflake, or other MPP databases is a plus.
- Knowledge for ETL/ELT tools like Informatica, IBM DataStage, or SaaS ETL tools is a plus.
- Experience with Tableau or other reporting tools is a plus.