Data Engineer

Job Detail

Experience Level Mid Level
Degree Type Bachelor of Science (BS)
Employment Full Time
Working Type Remote
Job Reference 0000013348
Salary Type Annually
Industry Banking;Financial Services;Merchant Banking
Selling Points
Work remotely while contributing to impactful data engineering projects. Collaborate with cross-functional teams to drive innovation and efficiency. Enhance your skills with cutting-edge data technologies.

Overview

Design, build, and maintain scalable data pipelines for efficient data integration and transformation.
Collaborate with cross-functional teams to ensure data reliability and infrastructure optimization.
Leverage expertise in Airflow, Python, and Snowflake to develop robust data solutions.
Create insightful data visualizations using Power BI to support business decision-making.
Monitor and troubleshoot data pipelines to address performance bottlenecks and quality issues.
Automate repetitive data tasks to improve operational efficiency and scalability.
Ensure data quality, integrity, and security across all processes and platforms.
Support professional growth and innovation in a flexible remote work environment.

Key Responsibilities & Duties

Design, implement, and maintain data pipelines using Airflow for orchestration.
Develop and optimize SQL queries, views, and stored procedures for data transformations.
Manage and optimize data storage and processing workflows in Snowflake and SQL Server.
Create insightful data visualizations and reports using Power BI.
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Monitor and troubleshoot data pipelines, addressing performance and reliability issues.
Automate and document repetitive data tasks to enhance efficiency.
Ensure alignment of data projects with business goals and timely delivery.

Job Requirements

Bachelor’s degree in Computer Science, Information Technology, or Mathematics preferred.
Three to five years of experience in data warehousing, database design, and programming.
Proficiency in Airflow, Python, Snowflake, SQL Server, and Power BI.
Experience with ETL/ELT frameworks and data integration from multiple endpoints.
Strong analytical and problem-solving skills with a focus on scalability and efficiency.
Knowledge of credit union products and services is a plus.
Ability to communicate technical solutions to non-technical audiences effectively.
Proven ability to lead technical projects and collaborate with diverse teams.