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# TELECOMMUTE Data Engineer L4 (Remote)

- **Company:** Frontdoor
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Cloud Computing, Cloud Database, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Database Models, Dimensional Modeling, Apache Hadoop, Tableau (Software), Web Applications, Google Cloud, Snowflake, Apache Spark, Data Lakes, Information Technology, Tools for Reporting, Stream Processing, Looker Analytics, Data Pipelines, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/4a01bb6c-c0f4-4b03-b4aa-cf89baa57213

## About the Role

Minimum Education, Licensure and Professional Certification requirements: Bachelor's in Computer Science, Engineering, Data Science, or related field (Masters or PhD preferred)

Minimum Experience required: 5+ years of experience in data engineering or similar work, * 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 Google Cloud Platform.
 * 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

Preferred Skills:

 * Full stack experience, including microservice and web app development.
 * Knowledge of big data platforms, such as Hadoop and Spark.

## Description

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., * Build and maintain complex scalable data pipelines for both batch and stream processing in a cloud-computing environment.

 * Apply complex dimensional modeling to design tables and views that map business processes into an enterprise data model.
 * Optimize database architecture by trading off storage and computation to achieve low cost and high performance.
 * Build and support complex ETL infrastructure to deliver clean and reliable data to the organization.
 * Support the development of new products and services via ingestion, processing, and formatting data for reporting and analytics.
 * 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.
 * Help enforce production standards and governance best practices in the management of enterprise-level data, metrics, and reports.
 * Manage projects within larger projects
 * May include other duties as assigned.


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