Job Title: Associate Data Engineer
Reports To: Data Engineer
Direct Reports: None
Department: Operations
Location: Remote to AR, AZ, CA, CO, FL, GA, IL, MA, MD, MN, MO, NC, NM, NV, NY, OR, PA, TN, TX, or WA.
FLSA Status: Exempt/Salary
Position Status: Full-Time
Work Schedule: Monday-Friday 8am-5pm (Pacific) -subject to change based on project assignments/deadlines and location (i.e., time zone)
Base Salary Range: $70,000 - $80,000 (commensurate with experience)
Travel: Up to 5% of the time
Job Summary
The Associate Data Engineer role requires a background in data engineering, including data processing, pipeline development, and database management. The ideal candidate will have up to 2 years of on-the-job experience in data analytics and/or data engineering and have familiarity with Microsoft SQL Server, a programming language such as Python, C#, and/or Microsoft PowerShell, and other relevant technologies. The qualified person for this position will build and maintain data infrastructure, ensuring data quality, and optimizing data workflows. On a day-to-day basis, the Associate Data Engineer will work with the data engineering team to support new development initiatives, maintain the existing platform, and ensure efficient data operations. The Associate Data Engineer will perform these duties while maintaining good communication and reporting relationships with the data team, multiple departments, field management, and Company Personnel at all levels.

EDUCATION / EXPERIENCE

• Bachelor’s degree in Computer Science, Data Engineering, Math, or equivalent from an accredited college or university is required.
• Equivalent work experience, internships, or projects may be substituted for educational requirements.
• Up to 2 years of on-the-job experience in data analytics and/or data engineering.

REQUIRED SKILLS

• Knowledge of Microsoft SQL Server and T-SQL
• Ability to analyze and configure data for reporting purposes
• Knowledge of an object-oriented programming language(s) (i.e., Python and/or C#)
• The ability to use an IDE and text editors with markdown (Visual Studio, VS Code, Notepad++)
• Excellent computer skills (CLI/Shell interface use, GUI use, keyboard shortcuts)
• Proficient in Microsoft Office Suite - Word, Excel, and Outlook with advanced skills in Excel highly preferred
• Good written and verbal communication skills
• Good organizational skills
• Collaborative team player
• Proactive, self-starter, goal-oriented, and ability to work independently
• Ability to effectively communicate while exercising diplomacy, sound judgment, and tact
• Ability to deal effectively with co-workers, department managers, and outside vendors
• Ability to work flexible hours depending on various departmental project deadlines and/or Company events and sponsored programs

PREFERRED SKILLS

• Knowledge of Microsoft PowerShell
• Knowledge of version control software such as Git
• Knowledge of virtualization software such as Docker
• Familiarity with common cloud platforms (e.g., AWS, Azure, Snowflake)
• Knowledge of Linux
• Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi, n8n)
• Knowledge of data integrity and programming safety and security

• Develop and maintain data pipelines to support data analytics, data science, and business intelligence needs
• Build and optimize data infrastructure to meet department requirements
• Ensure data quality and integrity across various data sources and platforms
• Collaborate with different corporate platforms, including Operations, IT, Accounting, HR, Property Services, and Marketing, to integrate data systems
• Regular attendance in accordance with Company’s Attendance Policy is required for this position
• Other duties as assigned:
• Periodic special projects and duties may be assigned based on Company need and requirements
• Must be able to perform a variety of duties, often changing from one task to another, with frequent interruptions or distractions and within tight deadlines