Ready to take your data engineering expertise to the next level? As a Senior Data Engineer with our client, a leading financial institution, you’ll play a pivotal role in shaping the future of their data management architecture. Working within a dynamic and collaborative environment, you’ll be at the forefront of designing, developing, and implementing cutting-edge data solutions that drive critical business decisions. This is an exceptional opportunity to contribute your skills and passion to a high-impact team and make a tangible difference in the organization’s success.

As a Senior Data Engineer, you will:

Design and develop complex ETL solutions, adhering to data warehouse design best practices.

Analyze data requirements, models, and define optimal methods for data extraction, transformation, and loading (ETL) into staging, warehouse, and integrated systems.

Create insightful business intelligence reports and visualizations using tools like Python, Tableau, and PowerBI.

Analyze business requirements and propose effective solutions.

Validate code against business and architectural requirements.

Create and test prototypes.

Troubleshoot applications and resolve defects.

Contribute to an agile development environment.

Plan, prioritize, and deliver resilient and scalable technical solutions.

Communicate technical concepts clearly to both technical and non-technical audiences.

Maintain up-to-date product documentation.

Escalate issues and impediments promptly.

Collaborate effectively within Agile teams and independently.

Conduct and coordinate unit and system integration testing.

Participate in peer programming, mobbing, hackathons, and code reviews.

Support and occasionally lead business intelligence, data analytics, and data governance/quality initiatives.

Must-Have Qualifications:

A Bachelor’s Degree or equivalent work experience.

7+ years of experience in information technology, preferably within financial services or a highly regulated industry.

5+ years of ETL development experience.

3+ years of experience in Business Intelligence, Data Analytics, or Data Science.

3+ years of experience working in an Agile environment.

Knowledge of ETL and data warehouse design principles.

Experience using Python for data manipulation and movement.

Extensive experience with data dictionaries, data analysis, and relational databases.

Experience with business intelligence tools.

Nice-to-Have Qualifications:

A Master’s Degree in a technology-related field (Computer Science, MIS, or Analytics preferred).

The target hiring compensation range for this role is $59.06 to $65.63 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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