Data Engineer - II

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.

Pay: $135,000.00 - $150,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

People with a criminal record are encouraged to apply

Application Question(s):

• Do you understand that this role requires 2 days per week in office at our office location in Atlanta, GA?

Ability to Commute:

• Atlanta, GA 30339 (Required)

Work Location: Hybrid remote in Atlanta, GA 30339