Data Engineer Lead

Client Name: Tranzeal

End Client Name: Intuit

Job Title: Data Engineer Lead (NoSQL)

Location: Mountain View, CA

Work Type: Onsite (Must work from the office)

Job Type: Contract

Rate: $80/hr on Tranzeal W2 (no benefits)

Vendor Referral: Minimum $9/hr billing

LinkedIn needed

Notes:

• Extremely urgent role - Start Date: August 1st
• Immediate joiners preferred
• Must have strong leadership and deep NoSQL experience
• Local to Mountain View or able to relocate and work onsite full-time

Job Description:
We are seeking a highly experienced and driven Data Engineer Lead (NoSQL) to architect and oversee the implementation of scalable NoSQL database solutions for high-throughput, distributed systems. The candidate will work closely with development and DevOps teams to ensure the optimal structure, reliability, and performance of data systems in support of business-critical applications.

• Lead the design, implementation, and maintenance of NoSQL database systems to support high-throughput applications.
• Collaborate with architects and developers to define database strategies for scalable, secure, and reliable systems.
• Design and implement data models and access patterns based on business and application needs.
• Define and enforce best practices around schema design, indexing, sharding, replication, and partitioning.
• Manage data migration strategies from RDBMS to NoSQL where applicable.
• Monitor database health, implement alerting mechanisms, and troubleshoot performance issues.
• Work closely with DevOps to ensure backup, recovery, and HA/DR strategies are in place.
• Mentor junior engineers and provide technical leadership on NoSQL topics.
• Stay updated with evolving NoSQL technologies, tools, and trends.

• 6 10+ years of experience in database engineering, with at least 3+ years as a NoSQL lead or architect.
• Deep hands-on experience with one or more NoSQL platforms (e.g., MongoDB, Cassandra, Couchbase, Redis, DynamoDB).
• Strong understanding of distributed computing, CAP theorem, eventual consistency, and data partitioning.
• Experience with cloud-based database services (AWS DynamoDB, Azure Cosmos DB, GCP Firestore, etc.).
• Solid knowledge of data modeling, query optimization, and performance tuning.
• Scripting and automation experience (Python, Shell, or similar).
• Excellent problem-solving, communication, and stakeholder engagement skills.

• Certification in MongoDB, Cassandra, or a relevant NoSQL platform.
• Experience working in Agile/Scrum development environments.
• Exposure to streaming systems like Kafka or real-time analytics platforms.
• Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, etc.).