Associate Data Engineer

Westport Properties, Inc.

. Develop and maintain data pipelines supporting data analytics, data science, and business intelligence .

Posted 10/12/2026full-timeUnited StatesJuniorMid-Level💰 $70,000 - $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines, ensuring data quality and integrity, and collaborating across multiple departments. Proficient in data analytics, data engineering, and utilizing AI/LLM environments while adhering to data security considerations.

Highest-signal resume keywords

Data Pipeline DevelopmentData Quality AssuranceMicrosoft SQL ServerPython ProgrammingAWS Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsData EngineeringT-SQLObject-Oriented ProgrammingMicrosoft PowerShellApache AirflowDockerKubernetesGit-Based WorkflowsTerraform

Soft Skills

CommunicationOrganizational SkillsCollaborationTime ManagementJudgment

Tools & Technologies

Microsoft Office SuiteAdvanced ExcelCLI/Shell InterfaceIDEText Editors

Industry Keywords

Data IntegrityProgramming SafetyData SecurityBusiness IntelligenceFlexible Hours

Tech Stack

Tools & technologies

AirflowApacheAWSAzureDockerGoogle Cloud PlatformKubernetesLinuxMS SQL ServerPythonRustSQLTerraform

About the role

Key responsibilities & impact

Develop and maintain data pipelines supporting data analytics, data science, and business intelligence
Build and optimize data infrastructure
Ensure data quality and integrity across data sources and platforms
Collaborate with Operations, IT, Accounting, HR, Property Services, and Marketing to integrate data systems
Use, deploy, and curate AI/LLM environments for agentic solutions with data security considerations
Work with the data analytics and science team on new development initiatives
Maintain the existing data platform and ensure efficient data operations
Maintain communication and reporting relationships with multiple departments, field management, and company personnel
Perform periodic special projects and other assigned duties

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Engineering, Math, or equivalent from an accredited college or university, or equivalent work experience, internships, or projects substituted for educational requirements
Internship or on-the-job experience in data analytics and/or data engineering
Basic knowledge of Microsoft SQL Server and T-SQL
Ability to analyze and configure data for reporting purposes
Proficiency in an object-oriented programming language such as Python, C#, or Rust
Proficiency in Microsoft PowerShell or Bash
Ability to use an IDE and text editors with markdown
Excellent computer skills, including CLI/Shell interface, GUI use, and keyboard shortcuts
Familiarity with Apache Airflow
Knowledge of Docker and Kubernetes
Proficiency in Microsoft Office Suite, with advanced Excel skills highly preferred
Proficiency with git-based workflows and CI actions
Familiarity with AWS, Azure, or GCP
Ability to understand and convey company policies and relevant industry standards
Knowledge of Linux, data integrity, programming safety and security, and Terraform preferred
Good written and verbal communication, organizational, collaborative, independent-work, judgment, diplomacy, and time-management abilities
Ability to work flexible hours based on project deadlines and company events
Ability to perform varied duties, work under interruptions or distractions, and meet tight deadlines
Regular worksite attendance in accordance with the company’s Attendance Policy

Benefits

Comp & perks

Remote work arrangement
Full-time salaried exempt position
Up to 5% travel
Ergonomic support available through HR