Platform Data Engineer

Platform Data Engineer

Reference Number: 354587 Posted: June 19, 2025 Job Type: Contract Industry: Computer and Mathematical

Our client, a Fortune 50 leader in Financial Services, is actively seeking a highly skilled and experienced Platform Data Engineer to join their dynamic team. This role offers an exceptional opportunity to contribute to critical data infrastructure initiatives, shaping the future of data within a top-tier global financial institution. If you’re passionate about working with cutting-edge data technologies and thrive in a complex, high-impact environment, this is the opportunity you’ve been looking for.

Location:

This role offers significant geographical flexibility, with a wide range of primary locations across the U.S. to choose from, allowing you to select a hub that best suits your lifestyle and preferences. Available locations include:

• West Coast: San Francisco, CA
• Northeast: New York, NY; Boston, MA; Jersey City, NJ; Pennington, NJ; Newark, NJ
• Southwest/Texas: Addison, TX; Plano, TX; Dallas, TX; Houston, TX
• Mountain West: Denver, CO
• Southeast: Atlanta, GA; Kennesaw, GA; Charlotte, NC; Richmond, VA; Jacksonville, FL
• Southwest: Chandler, AZ

What’s the Job?

As a Platform Data Engineer, you will be a pivotal force in designing, building, and maintaining robust, scalable, and secure data solutions that power critical financial operations. While the original job description didn’t explicitly list responsibilities, a Platform Data Engineer in this environment typically would:

• Design and Architect Data Pipelines: Design and build end-to-end data pipelines for ingestion, processing, and transformation of large, complex datasets, ensuring high performance and reliability.
• Implement Graph Database Solutions: Utilize and implement solutions leveraging TigerGraph OR Neo4j to model and query complex relationships within financial data, enabling advanced analytics and insights.
• Develop Data Processing Applications: Develop robust data processing applications using Python and Apache Spark (PySpark) for large-scale data manipulation, cleansing, and aggregation.
• Work with Distributed Systems: Engage with Hadoop and other distributed systems for efficient storage and processing of massive datasets.
• Optimize Data Performance: Continuously optimize data architecture and queries to enhance performance, scalability, and cost-efficiency.
• Ensure Data Quality and Governance: Contribute to data quality initiatives, ensuring data integrity and adherence to data governance policies within the financial services sector.
• Collaborate on Data Strategy: Work closely with data scientists, analysts, and other engineering teams to understand data needs and translate them into effective data platform solutions.
• Troubleshoot Data Issues: Diagnose and resolve complex data-related issues, ensuring data availability and reliability.

What’s Needed?

We’re looking for a talented and experienced Data Engineer with a strong foundation in modern data technologies. While specific years of experience aren’t explicitly listed beyond general industry context for this level of role, candidates should bring proven expertise in:

• Graph Database Expertise: Demonstrated proficiency and hands-on experience with TigerGraph OR Neo4j for building and managing graph-based data solutions. This is a crucial requirement.
• Strong Python Skills: Proven expertise in Python programming, used for data engineering, scripting, and application development within a data context.
• Big Data Processing: Solid experience with Apache Spark, particularly for large-scale data processing and analytics.
• Scala Proficiency (Highly Valued): Proficiency in Scala, often used in conjunction with Spark for high-performance data transformations.
• Hadoop Ecosystem Experience: Practical experience working within the Hadoop ecosystem for distributed data storage and processing.

What’s in it for You?

This is a fantastic opportunity to make a significant impact within a leading Fortune 50 financial institution, offering compelling benefits and growth potential:

• Impactful Work: Contribute directly to the core data infrastructure of a global financial leader, impacting critical business decisions and operations.
• Cutting-Edge Technologies: Work daily with advanced and cutting-edge data technologies, including specialized graph databases and large-scale big data platforms.
• Extensive Exposure: Gain invaluable exposure to a vast and complex enterprise data ecosystem within a highly regulated financial services environment.
• Geographical Flexibility: Benefit from the unique flexibility to choose from a wide range of desirable locations across the U.S., enhancing your work-life balance.
• Professional Growth: Access continuous opportunities for professional growth and skill development in the rapidly evolving field of data engineering.
• Collaborative Environment: Join a dynamic and highly collaborative team of skilled professionals, fostering knowledge sharing and innovation.

If this role aligns with your expertise and career aspirations, and you’re eager to make a significant contribution to the data landscape of a Fortune 50 financial services company, click “apply now.” We look forward to speaking with talented Platform Data Engineers ready for their next challenge!