The Home Depot Logo

The Home Depot

Software Engineer Manager - Data Engineering, EDW (Remote)

Posted 18 Days Ago
Remote
Hiring Remotely in Georgia, USA
140K-240K Annually
Senior level
Remote
Hiring Remotely in Georgia, USA
140K-240K Annually
Senior level
The Software Engineering Manager will lead data engineering teams, oversee development of data pipelines, and enhance analytics capabilities while mentoring engineers and collaborating with vendors.
The summary above was generated by AI

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

As a Software Engineering Manager, you will contribute to the products we create while helping to grow the next generation of engineering talent. This role will support our Enterprise Data Warehouse (EDW) data teams, which are responsible for building and maintaining scalable data pipelines, supporting data domain analytics, and enabling downstream products such as data views and AtScale cubes.

In addition, you will work closely with our most strategic vendors to ensure that third-party tools and applications are readily available and effectively supported for all product teams that rely on our enterprise data platforms.

Key Responsibilities:

  • 30% Delivery & Execution:
  • Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
  • Documents, reviews and ensures that all quality and change control standards are met
  • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Works with vendors and partners for the successful implementation of critical tooling and platforms
  • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
  • Evaluates new technologies for adoption across the enterprise
  • Participates in and leads review board sessions to drive consistency across the enterprise
  • Fills in on product teams for engineers who are out of the office
  • 10% Support & Enablement:
  • Fields questions from engineers, product teams, or support teams
  • Monitors tools and participates in conversations to encourage collaboration across product teams
  • Provides application support for software running in production
  • Acts as a technical escalation point for the engineers on the team
  • 50% People:
  • Provides leadership, mentoring, and coaching to Software Engineers
  • Attracts, retains, and develops top talent to build a world class Software Engineering Team
  • Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
  • Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
  • Acts as a proponent of modern software development practices
  • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
  • 10% Learning:
  • Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
  • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

Direct Manager/Direct Reports:

  • Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.

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 eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Mastery of an object oriented programming language (preferably Java)
  • Must be legally permitted to work in the United States

Preferred Qualifications:

  • 5+ years of relevant experience in data engineering, with a strong hands-on technical background.

  • 2+ years of experience leading and managing engineering teams.

  • Bachelor’s degree in computer science, data engineering, or a related field (or equivalent practical experience).

  • Proven experience leading data engineering initiatives and managing technical teams in an enterprise environment.

  • Strong expertise in cloud-based data platforms, preferably GCP / BigQuery.

  • Deep knowledge of SQL, data modeling, and large-scale data processing for high-volume, enterprise-scale data environments.

  • Experience supporting and operating data platforms with significant data volume and complexity.

  • Experience with data orchestration tools, CI/CD pipelines, and modern ETL processes.

  • Demonstrated ability to work cross-functionally and influence a wide range of stakeholders.

  • Exceptional leadership, communication, and people management skills.

  • Experience operating in fast-paced, enterprise-scale environments with complex systems.

  • Strong problem-solving skills, attention to detail, and the ability to quickly understand complicated systems.

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:

  • No additional education

Minimum Years of Work Experience:

  • 5

Preferred Years of Work Experience:

  • No additional years of experience

Minimum Leadership Experience:

  • None

Preferred Leadership Experience:

  • None

Certifications:

  • None

Competencies:

  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus.  For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
 

The pay range for this position is between $140,000.00 - $240,000.00

Similar Jobs

8 Hours Ago
Remote
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own full-cycle global recruiting for senior, hard-to-fill technical roles across Research, Engineering, and Product. Build proactive sourcing strategies, define role scope and interview plans with hiring managers, evaluate technical depth for AI-native products, deliver excellent candidate experience across time zones, use funnel metrics to improve hiring velocity, and collaborate with People Ops, Legal, and Finance to scale compliant international hiring.
Top Skills: Ai/Ml SystemsAPIsLarge Language Models (Llms)Real-Time InferenceSpeech-To-Text (Stt)Text-To-Speech (Tts)
8 Hours Ago
Easy Apply
In-Office or Remote
United States
Easy Apply
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills: AWSDatabricksKafkaKinesis
8 Hours Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
Lead the ATO process for classified environments, ensuring compliance with RMF and security standards while interfacing with government stakeholders.
Top Skills: AtoAws GovcloudAzure GovernmentDisa StigsEmassGoogle GovernmentKubernetesNist 800-53OpenshiftRmfXacta

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account