Senior Data Engineer

**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.