Associate Data Engineer

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

Westport Work Category: Remote Team Member

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

The Associate Data Engineer role requires knowledge and some practice in 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 Power Shell, and other relevant technologies. The qualified person for this position will have an interest in building and maintaining data infrastructure, ensuring data quality, and optimizing data workflows.

On a day-to-day basis, the Associate Data Engineer will work with our data analytics and science 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 multiple departments, field management, and Company Personnel at all levels.

• 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
• AI/LLM usage, deployment, and environment curation for agentic solutions with data security considerations
• Regular worksite 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

• 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.
• Internship or on-the-job experience in data analytics and/or data engineering is required.

• Basic knowledge of Microsoft SQL Server and T-SQL required
• Ability to analyze and configure data for reporting purposes
• Proficiency in an object-oriented programming language(s) required (i.e., Python, C#, Rust)
• Proficiency in Microsoft Power Shell or Bash required
• The ability to use an IDE and text editors with markdown (Visual Studio, VS Code, Notepad++, Vim, or Emacs)
• Familiarity with data pipeline tools and frameworks (Apache Airflow)
• Knowledge of virtualization software such as Docker and Automated Container Deployment (Kubernetes)
• Proficient in Microsoft Office Suite - Word, Excel, and Outlook with advanced skills in Excel highly preferred
• Proficient with git-based workflows (using a code forge, setting up CI actions)
• Familiarity with common cloud platforms (AWS, Azure, GCP) required
• Ability to understand and convey Company Policies and relevant industry standards
• 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,…