Collaborate with business leaders, engineers, and product managers to understand data needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using cloud-native data engineering principles
Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience
Participate and lead in development sprints, demos, and retrospectives, as well as release and deployment
Build and manage relationships with supporting IT teams to effectively deliver work products to production

Requirements

3+ years of experience in a data engineering or related role
Direct experience with data modeling, ETL/ELT development principles, or data warehousing concepts
Knowledge of data management fundamentals and data storage principles
Experience with cloud-based data warehouse platforms (AWS RedShift, GCP Big Query, Snowflake or equivalent
Experience in building data pipelines using Python/SQL
Demonstratable experience in Airflow or similar orchestration engines
Experience in applying CI/CD principles and processes to data engineering solutions.
General understanding of cloud data engineering design patterns and use cases
Bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata modelingETLELTdata warehousingdata managementdata storagePythonSQLCI/CD

Soft Skills

collaborationrelationship managementprocess improvementautomationoptimizationleadershipcommunication