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Senior Data Engineer(Full-Time)100%Remote
4 months ago
Green Courte Residential Holdings.
The Senior Data Engineer will provide key strategic and technical support to each of Green Courte Residential Holdings (GCRH), its managed companies, and be a key player in enhancing GCRH’s and GCRH’s portfolio companies’ data function. The Senior Data Engineer will be responsible for building and maintaining the vast ecosystem of data and analytics at GCRH. Given the rapid pace of change in the data and analytics role, the Senior Data Engineer will also be a key technical visionary for GCRH, helping the company find new efficiencies using technology by building a deep understanding of GCRH’s value proposition and processes, continually staying informed with developments in the data and analytics space, and assessing the application of new technology to the business.
Company Overview
Green Courte Residential Holdings is an exciting, fast-growing company. We own and operate 18 active adult/independent living senior housing communities (True Connection Communities) and 23 land lease communities (Windward Communities) throughout the United States with over 7,000 home sites and 2,000 senior living units. Our corporate office is located in Clearwater, Florida. We are an affiliate company of Green Courte Partners, LLC, a private equity real estate investment firm focused on building industry-leading companies within niche real estate sectors. To learn more about our entities visit: or
Benefit of working for us based on eligibility
- Medical/Dental/Vision Insurance, Health Savings Account (HSA) & Flexible Spending Account (FSA)
- Paid Parental Leave, Short-term & Long-term Disability
- Industry-leading PTO
- Paid Holidays
- 401k program; Including match
- Tuition reimbursement
- Staff development courses & free online training courses
- Paid training
- Bonus programs
- Employee Assistance Program (EAP)
- Employee/Resident Referral Bonuses
Duties and Responsibilities
- Identifying, implementing, and managing efficient, scalable, and reliable data pipelines and monitoring systems.
- Developing deep intuition for GCRH data and rapidly create new data assets or augment existing assets to provide business insight into key operational areas.
- Identify and implement operational efficiencies through automation and/or integration.
- Building end-user experiences to allow for self-service Business Intelligence (BI) across a variety of technical experience levels.
- Develop vision for future of data and analytics, build roadmaps to realize vision, and implement projects to accomplish goals.
- Insisting on the highest data integrity and establishing scalable quality checks and controls.
- Maintaining crisp data documentation to enable data accessibility to users of all technical competencies.
- Develop training materials and monitor engagement to maximize impact.
- Providing ad hoc analytical support and financial analyses to support strategic decision making and financial planning activities.
- Performs other duties as assigned.
Qualifications
- BS/MS in Computer Science, Information Systems, Data & Analytics or a related field
- Advanced SQL skills and experience scripting for automation (e.g., Python).
- Experience developing data pipelines using tools like Apache NiFi, Airflow, dbt, etc.
- Experience working with modern cloud data platforms like AWS, Azure, GCP, Snowflake, Databricks, etc.
- Experience sourcing and modeling data from third-party APIs.
- Prior experience integrating systems and managing work using the Agile software development lifecycle.
- Excellent communication skills; able to communicate highly technical solutions to non-technical audiences.
- Exceptionally organized and detail-oriented with the ability to work efficiently and accurately under pressure in a fast-paced environment.
- Ability to work independently with limited supervision.
- Collaborative nature and a good team player.
- Experience with financial planning systems Vena, Planful, Workday, Hyperion, etc. is a plus.
- Experience with Big Data technologies such as Spark/PySpark, Hive, Pig, and Kafka is also a plus.
- Experience with data visualization tools like Power BI, Tableau, etc. a plus.
Working Conditions
This position operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, printers, photocopiers, filing cabinets and fax machines. This position requires to be in the office a minimum of 3 days a week. This position will require occasional travel.
