Data Engineer (Remote)
$85k - $107kFrontdoor, Inc.
Overview
Frontdoor is reimagining how homeowners maintain and repair their most valuable asset – their home. As the parent company of two leading brands, we bring over 50 years of experience in providing our members with comprehensive options to protect their homes from costly and unexpected breakdowns through our extensive network of pre-qualified professional contractors. American Home Shield, the category leader in home service plans with approximately two million members, gives homeowners budget protection and convenience, covering up to 23 essential home systems and appliances. Frontdoor is a cutting edge, one-stop app for home repair and maintenance. Enabled by our Streem technology, the app empowers homeowners by connecting them in real time through video chat with pre-qualified experts to diagnose and solve their problems. The Frontdoor app also offers homeowners a range of other benefits including DIY tips, discounts and more. For more information about American Home Shield and Frontdoor, please visit frontdoorhome.com .
Responsibilities
Summary:
As an intermediate level Data Engineer, you will use various methods to transform raw data into useful data systems. You will create complex algorithms for the purpose of aligning data systems with business goals. You will manage projects within larger projects.
Responsibilities:
- Build and maintain data systems and pipelines to support increases in data volume and complexity
- Contribute towards the development, construction, and maintenance of data models within data warehouses using dimensional modeling
- Collaborate with analytics and business teams to improve data models in order to increase data accessibility and foster data driven decision making in the organization
- Build and maintain scalable data pipelines for both batch and stream processing in a cloud-computing environment.
- Create and optimize database architecture by trading off storage and computation to achieve low cost and high performance.
- Interact face-to-face with business stakeholders, develop cooperative relationships, and acquire domain knowledge of the business.
- Proactively automate manual processes throughout the business for higher efficiency, robustness, and speed.
- Enforce production standards and governance best practices in the management of enterprise-level data, metrics, and reports.
- May include other duties as assigned
Qualifications
Minimum Education, Licensure and Professional Certification requirements:
Bachelor's degree in Computer Science, Statistics, or similar field
Minimum Experience required:
2+ years experience in relevant field
Required Skills:
- Excellent communication and inter-personal skills.
- Versatile and quick learner with ability to pick up any new skills necessary to get the job done.
- Demonstrated strength in data modeling, ETL development, data warehousing, data pipeline and data lake creation.
- Extensive experience with cloud infrastructure and tools for AWS and GCP.
- Demonstrable proficiency in Python development and advanced SQL querying.
- Strong grasp of business elements and ability to convert requirements into database models and full-data pipeline systems.
- Experience with visualization and reporting tools, such as Looker and Tableau.
- Experience with cloud data warehouses such as Snowflake
- Experience building data lakes in the cloud
Other/State Specific
This role pays between $85k to $107k, and your actual base pay will depend on your skills, qualifications, responsibilities, experience, and location.
At Frontdoor certain roles are eligible for additional rewards and incentives. Speak directly to your recruiter to learn more.
Our approach to benefits is holistic, and includes health, wellbeing and financial components including: insurance for medical/pharmacy, dental, vision, life, and disability, weight loss and smoking cessation programs, matching 401(k) and ability to participate in our employee stock purchase plan.
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Job Locations: US
Company: AHS American Home Shield Corp
Type: Full Time
Category: Engineering
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