Senior Software/Data Engineer

At CINC, we power the elite of real estate. As a Senior Software/Data Engineer on the TruBase platform, you will own the data transport, transformation, modeling, and analytics of real estate data points that drive institutional-grade insights for top-tier real estate professionals and organizations. We are looking for someone who understands software architecture design patterns and data modeling, including entity resolution at scale — building systems where data integrity is non-negotiable. The right candidate takes full ownership of their work, brings genuine curiosity to hard problems, and thrives as a highly skilled problem solver who can navigate ambiguity and drive solutions end-to-end. Supervisory Responsibility: This position has no direct reports. Reports to: VP of Data. 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)

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, 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 and ensure data integrity across high-volume data flows; System Observability & Profiling: Identify bottlenecks by analyzing memory, CPU, and network usage, and implement distributed tracing and profiling; Technical Leadership: Drive innovation through Proof-of-Concepts (PoCs), document architectural decisions, and provide technical mentorship to junior engineers

Requirements

Deep understanding of idempotence, consistency models, and consensus protocols; Functional knowledge of storage engines (B+ Trees vs. LSM trees), storage formats (Columnar vs. Row), and tiering; Proficiency in debugging and profiling tools (e.g., strace, py-spy, Flamegraphs) to optimize IO and CPU usage; Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or Kinesis; Strong Python skills and comfort with Kubernetes and CI/CD for data workflows; Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB); Applicants must be legally authorized to work in the United States for any employer

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; Experience with TypeScript