Data Engineer

The Home Depot

. Design, build, and maintain data models, transformations, and pipelines that turn raw contact center data into trusted metrics and datasets in a cloud-based data warehouse .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and maintaining data models, transformations, and pipelines for cloud-based data warehousing, with a strong focus on data quality and real-time streaming ingestion. Proficient in Agile methodologies and capable of collaborating with cross-functional teams to implement effective data solutions.

Highest-signal resume keywords

Data ModelingReal-Time Streaming Data IngestionETL/ELT Pipeline DevelopmentAgile MethodologiesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Apache BeamGoogle DataflowSpark DataframesSparkSQLKafkaHadoopData ProcessingDimensional ModelingColumn-Oriented DatabasesData Science Technologies

Soft Skills

Team LeadershipCollaborationProblem SolvingCommunication

Tools & Technologies

RedshiftBigQueryVerticaSASRMatlab

Industry Keywords

Data QualityData Architecture StandardsScrum Delivery ProcessCustomer SolutionsData Science Initiatives

Tech Stack

Tools & technologies

Amazon RedshiftApacheBigQueryCloudETLHadoopKafkaSpark

About the role

Key responsibilities & impact

Design, build, and maintain data models, transformations, and pipelines that turn raw contact center data into trusted metrics and datasets in a cloud-based data warehouse
Own metric logic and data quality
Partner with operations and enterprise data teams
Hold source system owners to quality standards supporting Customer Solutions and Data Science initiatives
Implement a real-time streaming data ingestion and processing pipeline using Google Dataflow (Apache Beam)
Interface with business intelligence analysts and IT colleagues in whiteboard sessions to discuss data pipeline design, implementation, and testing
Maintain data architecture standards and ETL/ELT best practices for a column-oriented data store in an analytic use case
Participate actively in the Scrum delivery process
Support solutions in production
Report to the Senior Manager of EDW

Requirements

What you’ll need

Must be eighteen years of age or older
Must be legally permitted to work in the United States
Bachelor's degree or equivalent degree in a field of study related to the job
Minimum 6 years of work experience
Familiarity with Agile methodologies
Experience with Spark dataframes, SparkSQL, Kafka, KSQL, real-time streaming, and message bus technologies
Experience with data science technologies such as SAS, R, Matlab, or similar
Experience with data warehousing and dimensional modeling
Experience building real-time streaming data ingestion and processing pipelines using Apache Beam, Google Dataflow, Apache Apex, Flink, Spark, or Kafka
Experience with data processing tools such as Hadoop, Spark, and Dataflow
Experience building ETL/ELT pipelines
Experience with column-oriented databases such as Redshift, BigQuery, and Vertica
Ability to go from whiteboard discussion to code
Strong programming ability
Experience working directly with subject matter experts in business and technology domains
Experience as a team lead

Benefits

Comp & perks

Remote/Virtual work arrangement
Overnight travel typically less than 10% of the time