Data Engineer

Data Engineer 100% Remote, but must be able to attend a 9am EST standup Company Summary: They are the world's leading B2B research company. We use proprietary, AI-driven search that scans 1.1 billion professionals across 140 industries to find the exact person to answer any kind of question. About the Role: Developing and enhancing these key systems and platforms requires strong data engineering expertise to solve a wide variety of exciting data problems. We are seeking passionate data engineers with a desire to join a small but fast growing team to get in early and influence our data technologies. Compensation: $100-130k + 10-15K bonus + stock options (more salary, less equity or less salary, more equity) Hours: 8am-5:30 pm CT *Need to be good with these hours* Company size: 130 employees right now Engineering team size: 20 Responsibilities: Build reliable data pipelines to clean, aggregate, and transform large volumes of data from multiple sources. Develop versatile software components to extract useful information from various unstructured or semi-structured text data. Improve the performance and quality of search services Build effective data API endpoints to support data applications across the company Required: 3+ yrs experience in software development Strong proficiency with Python Hands-on experience building large scale batch and streaming data pipelines with mainstream big data stack preferably GCP dataflow Bachelor's degree or greater in relevant field of study Nice to Have: Experience working with a major Cloud platform (AWS, Azure, GCP), preferably GCP Experience with Elasticsearch Experience in NLP or Text Mining Experience building Flask microservices Experience writing SQL, particularly in BigQuery Interview process: Back end lead interview 30-45 minute phone interview Take home assessment 60 minutes 2.5 hour video conference: with Head of Engineer and HR 1872 Consulting