Sr. Data Engineer

The Senior Data Engineer is a senior technical role in supporting the information management architecture of the Enterprise Data Warehouse solution. The role will be actively responsible for designing the data acquisition, data staging, loading, and transformation into the Enterprise Data Warehouse. This role will be a technical expert and resource collaborating with the Data Architect, Software Engineers, Product Owners, and Project Team to develop and deliver data storage and movement solutions and to organize and oversee the loading of data into the related systems. Additionally, the Senior Data Engineer will bridge gaps related to Business Intelligence functions, supporting the analytics produced by the organization, and providing expertise tying data movement together with data consumption.

Design and develop complex ETL solutions using data warehouse design best practices

Analyze data requirements, data models, and determine the best methods in extracting, transforming and loading the data into the data staging, warehouse and other system integration projects

Create complex business intelligence reports and data visualizations using tools like Python, Tableau, and PowerBI

• A Bachelor's Degree or a combination of equivalent work experience
• 7+ years of previous experience in information technology, preferably within the financial services or other highly-regulated industry
• 5+ years ETL development experience
• 3+ years of Business Intelligence, Data Analytics, or Data Science experience
• 3+ years of experience in an Agile environment
• Knowledge of ETL and data warehouse design
• Experience using Python for data movement/manipulation
• Extensive experience with data dictionaries, data analysis and relational databases
• Experience with a business intelligence toolset

Advanced decision making and problem solving skills

Business acumen, knowledge and professionalism

Proactive leadership style and a self-starter and strong attention to detail

A clear and familiar understanding of the concepts and best practices of data warehouse ETL design

Demonstrable expertise with RDBMS or Big Data technology

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.