Pella Windows & Doors of North Carolina and Southwest Virginia

Data Engineer

Pella Windows & Doors of North Carolina and Southwest Virginia

full-time

Posted on:

Location Type: Hybrid

Location: Urbandale • Iowa • United States

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Tech Stack

BigQueryCloudPythonSQL

About the role

  • Design, build, and maintain data pipelines that ingest data from digital, marketing, and enterprise systems into analytics platforms.
  • Develop and manage data models that support analytics, reporting, and downstream use cases across Digital, Marketing, and Pro CX teams.
  • Work closely with analysts, data scientists, and business partners to translate analytical requirements into scalable data solutions.
  • Implement data transformations, validations, and quality checks to ensure data is accurate, consistent, and production-ready.
  • Support analytics use cases by making data easily consumable for BI tools, dashboards, and advanced analytics.
  • Partner with technology teams and vendors to integrate new data sources and evolve existing pipelines.
  • Document data pipelines, models, definitions, and lineage to support data governance and reuse across the organization.
  • Contribute to the ongoing improvement of Pella’s analytics infrastructure, standards, and best practices.
  • Assist in enabling the Digital, Marketing, and Pro CX teams by ensuring analytics data aligns with customer journeys, digital tools, and measurement frameworks.

Requirements

  • 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
  • Strong experience working with BigQuery or comparable cloud data warehouse technologies.
  • Proficiency in Python for data transformation, automation, and pipeline development.
  • Working knowledge of R for analytical or statistical workflows is preferred.
  • Strong SQL skills, including complex joins, aggregations, and performance optimization.
  • Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
  • Experience supporting analytics and BI tools such as Looker Studio and Power BI.
  • Understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
  • Experience collaborating with analysts and stakeholders to support data-driven decision-making.
  • Ability to clearly communicate technical concepts to both technical and non-technical audiences.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development opportunities
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringanalytics engineeringBigQueryPythonRSQLdata modelingdata transformationdata validationdata quality
Soft Skills
collaborationcommunicationanalytical thinkingproblem-solvingstakeholder engagementdocumentationadaptabilityattention to detailcustomer focusteamwork