About
At CINC, we power the elite of real estate. TruBase is our premier data analytics platform designed to turn massive streams of real estate market data into actionable insights for top-tier teams and real estate institutions. As a Data Engineer II, you will be the backbone of this platform-architecting the systems that ingest, transform, and serve high-velocity property data, lead interactions, and market trends at scale. You are building for users who demand sub-second latency and institutional-grade data integrity.
Essential Responsibilities
Architect Distributed Systems: Design and scale fault-tolerant systems that balance consistency and availability. Database Engineering: Evaluate and implement database technologies based on workload needs. You will own schema design, indexing strategies, and query optimization to ensure low-latency data access. High-Throughput ETL/ELT: Build, monitor, and maintain "correct-by-design" pipelines. You'll ensure data integrity across the lifecycle of our high-volume data flows. System Observability & Profiling: Proactively identify bottlenecks by analyzing memory, CPU, and network usage. You will implement distributed tracing and profiling to keep the system lean. Technical Leadership: Drive innovation through Proof-of-Concepts (PoCs), document architectural decisions, and provide technical mentorship to junior engineers. Technical Competencies & Experience
Core Requirements
Distributed Systems: Deep understanding of idempotence, consistency models, and consensus protocols. Database Internals: Functional knowledge of storage engines (B+ Trees vs. LSM trees), storage formats (Columnar vs. Row), and tiering. Performance Engineering: Proficiency in debugging and profiling tools (e.g., strace, py-spy, Flamegraphs) to optimize IO and CPU usage. Data Streaming: Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or Kinesis. Modern Tooling: Expertise in Python or TypeScript, plus experience with Kubernetes and CI/CD for data workflows. Database Diversity: Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB). Preferred (Nice-to-Have)
Experience with lower-level languages (e.g., Rust, Go, or C++). Deep understanding of serialization codecs and compression (Protobuf, FlatBuffers). Knowledge of AWS Cloud Architecture and Data Governance frameworks. How We Measure Success
System Reliability: Maintaining high uptime and scalability metrics under peak loads. Performance Gains: Measurable improvements in query latency and pipeline throughput. Architectural Integrity: Delivery of clean, well-documented code and system designs. Team Growth: Positive impact on the technical growth and velocity of the broader engineering team. Other Information:
Supervisory Responsibility: This position has no direct reports.
Reports to: Team Lead
Position Type/Expected Hours of Work
This is a full-time position; days and hours of work are Monday through Friday, 40 hours a week. (Hybrid, Atlanta Area - 2 Days/Week in Office) Work Authorization:Applicants must be legally authorized to work in the United States for any employer. We are unable to provide visa sponsorship (e.g., H-1B, OPT extensions) at this time.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Languages
- English
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