Lead Online Data Engineer

The Home Depot

Atlanta (GA)

On-site

USD 120,000 - 160,000

Full time

17 hours ago

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Job summary

The Home Depot is seeking an Online Data Engineer to translate business requirements into scalable data infrastructure and analytics capabilities. You will build, test, and maintain data pipelines, APIs, and in-house enterprise solutions to enable reliable, actionable insights across customer, financial, and operational datasets.

You will collaborate with cross-functional teams, guide analytics projects, and advance predictive and prescriptive analytics using big-data techniques.

Qualifications

Must have a bachelor’s degree or higher in a quantitative field or related experience.
Ability to stitch and maintain data from multiple sources.
Proficiency in Python and Google BigQuery for data stitching and enrichment.
Experience with PySpark, Airflow, and DataProc to engineer and automate data pipelines.
Ability to code in JavaScript and front-end frameworks (React).
Demonstrated knowledge of building and maintaining data pipelines and models.

Responsibilities

20% - Business Collaboration: leverage business knowledge to build trusted solutions with internal customers.
25% - Project Management & Team Support: lead complex projects and ensure quality of work.
30% - Solution Development: communicate insights to technical and non-technical leaders and transform data into actionable info.
25% - Technical Exploration & Development: guide teams in requirements, design, and development of complex analytics apps.

Skills

Data modeling

Data pipelines

Collaboration

Communication

SQL

APIs

JavaScript

Education

Bachelor's or Master’s in a quantitative field

Tools

Python

PySpark

Airflow

DataProc

BigQuery

React

Nucleus

Job description

Position Purpose

Consistent with The Home Depot’s commitment to openness and transparency, we are informing you that a qualified in-line successor is being considered for this position. However, all interested candidates are strongly encouraged to apply. No selection decision has been made, and the final decision will be based solely upon choosing the most qualified and suitable candidate for the position.

Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer, financial, or operational data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.

Req190111

Key Responsibilities

20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.

25% - Project Management & Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics; Ensure the team comprehends and applies the established processes and standards and mentor team on development.

30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Develops solutions to transform data into useful, actionable information.

25% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.

Direct Manager/Direct Reports

This position reports to the Senior Manager or Above

This position has 0 direct reports

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be 18 years of age or older.

Must be legally permitted to work in the United States.

Preferred Qualifications

Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience

Ability to stich and maintain data from multiple sources

Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)

Ability to produce tags for site data

Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources

Ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines

Ability to optimize the pipelines run time and lower the cost on slots/storage consumption

Ability to prioritize requests and manage a product roadmap

Demonstrated expertise of how to model and mine data

Demonstrated expertise of how to build and maintain data pipelines

Demonstrated knowledge of the business to support future data needs and proactive data management

Minimum Education

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education

The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years Of Work Experience

Preferred Years Of Work Experience

Minimum Leadership Experience