Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $110k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• 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

• 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

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