Senior Data Engineer

🕒 June 9

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of WIN Home Inspection

WIN Home Inspection

201 - 500 employees

Founded 1993

🏠 Real Estate

Real Estate

WIN Home Inspection is the leading home inspection franchise in the United States. They offer a franchise opportunity that allows entrepreneurs to own and operate their own home inspection business with the support of the largest team in the industry. WIN provides over 35 essential inspection services and comprehensive training, technology, and marketing support to franchisees. Known for its extensive support system and innovative tools, WIN has been consistently ranked as the top home inspection franchise in the U. S. The company is particularly committed to supporting veterans, offering special programs and discounts to help them transition into business ownership.

📋 Description

• Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity. • Curate data sets including through hands on analyses and automated tools including web scraping, ETL pipelines and SQL queries. • Conduct in-depth research and analysis to identify new data sources and complement existing data sources. • Design and maintain intuitive BI dashboards, reports, and visualizations to effectively communicate complex data and insights. • Identify actionable business insights through analysis of data trends, patterns, and correlations. • Own documentation of data processes, schemas, and data sets • Build using best practices in security, design, and data quality.

🎯 Requirements

• Bachelors in computer science or related technical field. • 2-5 years of experience in data analysis (e.g. Python, SQL, Excel, Tableau, Looker, PowerBI) and visualization tools • Experience with data querying, manipulation, and integration scripting a plus • Experience with enterprise cloud computing and storage platforms (AWS, GCP etc) • Thrive in a dynamic environment that requires innovation and speed of execution. • Ability to understand and break-down problems and propose clear solutions. • Creative and outside-the-box thinker with strategic mindset • Willing to learn new technologies and platforms. • Strong work ethic, high integrity, and a team-player

🏖️ Benefits

• Highly inclusive and collaborative culture built on mutual respect. • Focus on core values, initiative, leadership and adaptability. • Strong emphasis on personal and professional development • Flexibility to work remotely and/or hybrid indefinitely.

Apply Now

Similar Jobs

🕒 June 6

Forbes Advisor

201 - 500

📱 Media

💸 Finance

Data Engineer building and maintaining data pipelines for marketing analytics and support across business teams. Contributing to data ingestion and modelling from various platforms with a focus on Meta Ads.

Airflow

BigQuery

Cloud

ETL

Microservices

Python

SQL

🕒 June 6

Forbes Advisor

201 - 500

📱 Media

💸 Finance

Data Engineer (L3) designing scalable data architecture and robust data pipelines for social marketing. Collaborate in a fintech initiative providing insights on personal finance and growth marketing.

Airflow

BigQuery

Cloud

ETL

Microservices

Python

SQL

🕒 June 5

DysrupIT

51 - 200

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Data Engineer managing D365 Customer Insights and data pipelines. Triage issues, validate data fitness, and collaborate on monitoring and observations.

Azure

Python

SQL

.NET

🕒 June 5

Hillenbrand

5001 - 10000

Data Engineer responsible for designing, building, and optimizing scalable data pipelines using Databricks. Collaborating with BI and business teams for high-quality data solutions.

ERP

Python

Spark

SQL

🕒 June 5

Hillenbrand

5001 - 10000

Data Engineer designing and optimizing scalable data pipelines using Databricks for Mold-Masters. Collaborating with BI and business teams to ensure reliable data solutions.

Azure

ERP

Python

Spark

SQL