Big Data Engineer(Only W2)

ONLY W2 candidates are needed, NO C2C/1099

Open for H1B candidates who are open for transfer

Role: Big Data Engineer

Contact: 12 to 24 months (potential conversion to FTE)

Location: Chandler, AZ / Irving, TX

Hybrid working model 3 days on-site/2 days remote each week

Key Responsibilities:

• Design, build, and maintain scalable Big Data pipelines to support centralized credit decision-making services.
• Implement robust data integration solutions for credit bureau services using technologies like Kafka and Hadoop.
• Collaborate with product managers, architects, and cross-functional teams to design reusable services following the "build once, use everywhere" approach.
• Build fault-tolerant data ingestion and streaming solutions to enable real-time and batch decision-making logic.
• Ensure high availability, performance, and security of data services.
• Monitor and optimize system performance and troubleshoot production issues.

Required Skills & Qualifications:

• 5+ years of experience in Big Data engineering roles.
• Strong experience with Hadoop, Kafka, and distributed data processing frameworks (e.g., Hive, Spark).
• Solid understanding of data streaming, real-time processing, and microservices.
• Experience in building enterprise-scale data platforms supporting mission-critical decision-making applications.
• Proven experience with data integration, especially with external data sources such as credit bureaus.
• Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Nice to Have:

• Experience in credit risk, financial services, or banking technology.
• Familiarity with credit bureau APIs (e.g., Experian, Equifax, TransUnion).
• Knowledge of data governance, compliance, and PII handling.
• Exposure to containerization (Docker, Kubernetes) and CI/CD pipelines.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.