Date Posted: 07/07/2026
Hiring Organization: Rose International
Position Number: 503796
Industry: Financial Services
Job Title: Senior Big Data Engineer (Spark & Python) - Financial Services
Job Location: Arlington, VA, USA, 22201
Work Model: Hybrid
Work Model Details: 3 days onsite and 2 days remote per week.
Shift: 9AM to 5PM ET
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 3
Min Hourly Rate($): 75.00
Max Hourly Rate($): 85.00
Must Have Skills/Attributes: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL
Experience Desired: Hands-on experience as a Data Engineer with expertise in SQL, ETL pipelines, and data processing (8+ yrs); Experience working with Apache Spark, Hadoop (Hive, HDFS, YARN), and Python for big data solutions (8+ yrs); Experience designing, optimizing, and maintaining scalable data pipelines and data platform (8+ yrs)
Required Minimum Education: Bachelor’s Degree
Job Description
***Only qualified Big Data Engineer candidates located near Arlington, VA to be considered due to the position requiring an onsite presence. ***
**Glider Assessment Test is required for submission**
Required Education
• Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Required Qualifications/Skills/Experience:
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Hands-on experience with big data technologies such as:
• Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Hadoop ecosystem (HDFS/ Ozone, Hive, YARN)
• Understanding data modeling concepts and database design to support scalable data solutions.
• Familiarity with Python.
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Role:
This role focuses on designing, implementing, and maintaining scalable enterprise ETL processes and robust data pipelines for a global client base. You will leverage big data frameworks like Apache Spark and Hadoop, along with SQL and Python, to optimize data processing and ensure high data quality. Working closely with cross-functional teams, you will automate routine tasks and deliver accurate, high-value data solutions across various industries.
Responsibilities:
• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
• Leverage big data processing frameworks such as Apache Spark and Hadoop to build and optimize data pipelines.
• Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
• Build strong working relationships with team members and clients, contributing to both local and global projects.
• Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
• Design, implement, and maintain data pipelines using ETL frameworks, orchestration tools, and distributed data processing engines.
• Participate in efforts to automate routine data tasks and streamline processes.
• Comply with all Mastercard internal policies and adhere to external regulations.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
It was great working for Rose International. Everyone was extremely helpful.
Rosann, Consultant
My on-boarding with Rose was outstanding. The packets of information, the process, and great attention to detail each person gave me allowed me to get started quickly.I appreciated each person's friendly and helpful attitude.
Diana, Consultant
Rose is an assembly of people grounded in honesty, truth and dignity for all of its employees and contractors.
Samba, Consultant
It is a great pleasure being a part of the Rose International Team.
Toni, Consultant
You are customer service oriented. No matter whether it was the Recruiter or someone in Human Resources/Payroll, you were responsive. That to me is key!
Tonya, Consultant
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