About the role
Compensation: Starting at $120,000 (Dependent on Experience)
Senior Software/Data Engineer
Role Overview
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.
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
Strong Python skills and comfort with Kubernetes and CI/CD for data workflows. Experience with TypeScript is a plus.
Database Diversity
Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB).
Our Stack (what you'll work in day-to-day):
Python · ClickHouse · PostgreSQL · Kafka · Kubernetes
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: VP of Data
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.