Salary Range: $75,000 - $85,000
Target Bonus: 10%
About Us:
Christian Tyler Properties, LLC (CTP) is a privately held, full-service real estate development, acquisition, investment, and management company based in Tampa, Florida. Since 1995, we have utilized a hands-on, value-added strategy to redevelop and re-position commercial retail and office, multi-family, senior care (assisted living and memory care), and residential subdivision properties into their highest and best use. Our company is also deeply involved in the EB-5 investor program, partnering with international investors to fund real estate development projects in high barrier-to-entry markets.
We focus on the Southeastern U.S., selectively undertaking ground-up development when market conditions are favorable. We are known for assembling an "A Team" of top-tier local third-party professionals for each project.
With over $1B in total developments and rising, we are seeking a highly skilled and detail-oriented Data Engineer to join our growing team. This role will play a key part in building and maintaining the data infrastructure that supports our business operations and investment strategies, with a strong emphasis on SQL proficiency.
Key Responsibilities:
•\tDesign, develop, and maintain robust ETL/ELT pipelines from CRM, webhooks, and external APIs into SQL databases.
•\tWrite, optimize, and manage complex SQL queries, views, and stored procedures to ensure integrity and performance.
•\tBuild scalable data models and semantic layers; define and standardize KPIs for sales, marketing, finance, and compliance.
•\tDevelop and maintain dashboards and parameterized/paginated reports in Power BI.
•\tProductionize AI/LLM workflows (summarization, personalization, RAG) with evaluation, version control, and QA.
•\tImplement data intake services and messaging/webhook integrations; automate marketing workflows (lead scoring, lists/tags, attribution with UTM).
•\tBuild lightweight internal apps/forms (e.g., Flask/FastAPI or low-code) integrated with automation flows.
•\tContainerize and schedule jobs; add observability (logging, alerting) and maintain runbooks for reliability.
•\tEstablish best practices for data governance, security (secrets/access), documentation, and SLA monitoring.
•\tSupport ad-hoc analysis, special projects, and cross-functional collaboration with stakeholders and leadership.
Qualifications:
•\tBachelor’s/Master’s degree in Computer Science/Data Science or equivalent experience.
•\t2-4 years in data engineering/analytics/automation.
•\tAdvanced proficiency in SQL (including T-SQL, performance tuning) and Python.
•\tHands-on experience with PostgreSQL, MySQL, SQL Server, or Oracle and schema/design best practices.
•\tStrong Power BI skills, including DAX and paginated/parameterized reporting.
•\tExperience integrating CRM/marketing platforms via APIs and webhooks (e.g., ActiveCampaign/HubSpot).
•\tFamiliarity with cloud-based data solutions (AWS, GCP, or Azure).
•\tComfort deploying and operating services on VMs/containers; working knowledge of Docker, Git, and basic CI.
•\tPractical data modeling and KPI design; ability to document metrics and data contracts.
•\tExposure to LLMs (prompting, embeddings) and RAG patterns in production.
•\tNice to have: low-code tools (Power Apps/Power Automate), WordPress/CMS basics, web scraping (Playwright/Selenium), BI engineering (star schemas, RLS), and basic networking/VPN hygiene.
•\tStrong problem-solving and analytical skills with keen attention to detail.
•\tAbility to manage multiple priorities, meet deadlines, and work independently as well as collaboratively.
•\tProgramming experience in Python or another scripting language is a plus.
Benefits:
Competitive salary and performance-based bonus.
Health insurance.
Professional development opportunities.
Two weeks paid time off for the first two years, three weeks thereafter, and standard holidays.
Hybrid schedule, one day at home permitted per week.
We thank all applicants for their interest, but only those selected for an interview will be contacted.
Christian Tyler Properties, LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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