Home › Companies › Cinc › Senior Software/Data Engineer
Senior Software/Data Engineer
Cinc · Atlanta, Georgia, 30339, United States · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Cinc |
| Title | Senior Software/Data Engineer |
| Normalized title | - |
| Department / team | TruBase |
| Location | Atlanta, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-12-08 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Cinc. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Atlanta. | Open |
| Department jobs | Active postings in TruBase. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Cinc |
| Source | cbc45ab2-cb34-42ed-833c-5e7431237ec3 |
| ATS provider | BambooHR |
Description
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.
Full job record
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| Org ID | 6c9fbbbe-c859-4f93-9b52-3a1d78e9131e |
| Source ID | cbc45ab2-cb34-42ed-833c-5e7431237ec3 |
| Board ID | cbc45ab2-cb34-42ed-833c-5e7431237ec3 |
| Provider | bamboohr |
| Provider Job Key | 84 |
| Title | Senior Software/Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Atlanta, Georgia, 30339, United States |
| Department | TruBase |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | Atlanta |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://cinc.bamboohr.com/careers/84 |
| Apply URL | https://cinc.bamboohr.com/careers/84 |
| First Seen At | 2026-05-30 06:07:46Z |
| Last Seen At | 2026-06-06 10:30:15Z |
| Last Checked At | 2026-06-06 10:30:15Z |
| Last Changed At | 2026-05-30 06:07:46Z |
| Inactive At | — |
| Source Posted At | 2025-12-08 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=cinc/date=2026-06-06/2026-06-06T10-30-14-059Z-ad96fd6e92ec7d47fbf23727e3f9c464cedb64ffe9f215bf4d93100ddd04a8b9.json |
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"description": "<p><span style=\"font-weight: bold\">Senior Software/Data Engineer</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Role Overview</span></p>\n<p>At CINC, we power the elite of real estate. As a <span style=\"font-weight: bold\">Senior Software/Data Engineer</span> on the <span style=\"font-weight: bold\">TruBase</span> 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.</p>\n<p><br><span style=\"font-weight: bold\">Essential Responsibilities</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Architect Distributed Systems:</span> Design and scale fault-tolerant systems that balance consistency and availability.</li>\n<li><span style=\"font-weight: bold\">Database Engineering:</span> 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. </li>\n<li><span style=\"font-weight: bold\">High-Throughput ETL/ELT: </span>Build, monitor, and maintain \"correct-by-design\" pipelines. You’ll ensure data integrity across the lifecycle of our high-volume data flows.</li>\n<li><span style=\"font-weight: bold\">System Observability & Profiling: </span>Proactively identify bottlenecks by analyzing memory, CPU, and network usage. You will implement distributed tracing and profiling to keep the system lean.</li>\n<li><span style=\"font-weight: bold\">Technical Leadership: </span>Drive innovation through Proof-of-Concepts (PoCs), document architectural decisions, and provide technical mentorship to junior engineers.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Technical Competencies & Experience</span></p>\n<p>Core Requirements</p>\n<ul>\n<li><span style=\"font-weight: bold\">Distributed Systems: </span>Deep understanding of idempotence, consistency models, and consensus protocols.</li>\n<li><span style=\"font-weight: bold\">Database Internals: </span>Functional knowledge of storage engines (B+ Trees vs. LSM trees), storage formats (Columnar vs. Row), and tiering.</li>\n<li><span style=\"font-weight: bold\">Performance Engineering: </span>Proficiency in debugging and profiling tools (e.g., strace, py-spy, Flamegraphs) to optimize IO and CPU usage.</li>\n<li><span style=\"font-weight: bold\">Data Streaming: </span>Hands-on experience with log-based distributed systems such as Kafka, Pulsar, or Kinesis.</li>\n<li><span style=\"font-weight: bold\">Modern Tooling: </span>Strong Python skills and comfort with Kubernetes and CI/CD for data workflows. Experience with TypeScript is a plus.</li>\n<li><span style=\"font-weight: bold\">Database Diversity: </span>Familiarity with both relational and analytical stores (e.g., Postgres, Redshift, Clickhouse, DynamoDB).</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Our Stack (what you'll work in day-to-day):</span><br>Python · ClickHouse · PostgreSQL · Kafka · Kubernetes</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred (Nice-to-Have)</span></p>\n<ul>\n<li>Experience with lower-level languages (e.g., Rust, Go, or C++).</li>\n<li>Deep understanding of serialization codecs and compression (Protobuf, FlatBuffers).</li>\n<li>Knowledge of AWS Cloud Architecture and Data Governance frameworks.<br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">How We Measure Success</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">System Reliability: </span>Maintaining high uptime and scalability metrics under peak loads.</li>\n<li><span style=\"font-weight: bold\">Performance Gains: </span>Measurable improvements in query latency and pipeline throughput.</li>\n<li><span style=\"font-weight: bold\">Architectural Integrity: </span>Delivery of clean, well-documented code and system designs.</li>\n<li><span style=\"font-weight: bold\">Team Growth: </span>Positive impact on the technical growth and velocity of the broader engineering team.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Other Information: </span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Supervisory Responsibility:</span> This position has no direct reports.</li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Reports to: </span>VP of Data</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Position Type/Expected Hours of Work</span></p>\n<p>This is a full-time position; days and hours of work are Monday through Friday, 40 hours a week.<br><span style=\"font-weight: bold\">(Hybrid, Atlanta Area — 2 Days/Week in Office)</span><br></p>\n<p><br></p>\n<p>Work Authorization:Applicants must be legally authorized to work in the United States for any employer. 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