Remote Data Integration Engineer

Summary

Join our team as a Data Integration Engineer and work on developing scalable data pipelines, building new data integrations, and establishing data governance processes. This is a remote position that requires 7 years of experience in analytics or related fields.

Requirements

• 4-year college degree or equivalent combination of education and experience
• 7 years of relevant work experience in analytics, data engineering, business intelligence or related field
• Skilled in object-oriented programming (Python in particular)
• Experience developing integrations across multiple systems and APIs
• Experience with or knowledge of Agile software development methodologies
• Experience with cloud-based databases, specifically AWS technologies (e.g. Redshift, RDS, S3, EMR, EC2, Kinesis)
• Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Experience developing in a Linux environment

Responsibilities

• Develop, test, document and maintain scalable data pipelines
• Build out new data integrations including APIs to support continuing increases in data volume and complexity
• Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security
• Build and implement scalable solutions that align to our data governance standards and architectural road map for data integrations, data storage, reporting, and analytic solutions
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
• Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work
• Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources
• Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues
• Guide and mentor less experienced engineers on coding best practices and optimization

Preferred Qualifications

• Experience designing data schemas and operating SQL/NoSQL database systems is a plus
• Experience with Big Data tools like Spark, Hadoop, Kafka, etc. is a plus