Data Engineering Manager | Home Client Services

Red Ventures; New York (NY); Hybrid; USD 130,000 - 200,000; Full time

Benefits offered by this job

Health Insurance Coverage

Life Insurance

Disability Insurance

Flexible Spending Accounts

Holiday Pay

401(k) with match

Employee Assistance Program

Parental Bonding Benefit Program

Flexible PTO

Job summary

Red Ventures’ Home Client Services group seeks a Data Engineering Manager to lead a team of 2-4 data engineers building the data platform powering the home services business. You will translate business strategy into executable plans on a modern lakehouse stack and serve as a credible technical contact for clients and internal stakeholders.

You will coach engineers, own end-to-end platform delivery, enforce governance, and drive AI-forward practices while partnering with business teams to

Qualifications

• 3+ years managing a data engineering team, plus at least 5 years of hands-on data engineering experience before or alongside that management experience
• 4+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and workflow orchestration
• 4+ years working on cloud technologies: AWS preferred, Azure or GCP experience welcome
• Strong hands-on coding experience with Python and PySpark in a distributed computing context
• Strong background in code-first data transformation workflows, scalable data modeling, and data quality best practices
• Deep expertise in data governance, including data quality standards, lineage, access control, and documentation, and a track record of holding a team accountable to those standards
• Experience with pipeline observability and monitoring practices: knows what it takes to run reliable data products in production, including alerting, backfill management, and failure triage
• Experience with GitHub and CI/CD processes in a collaborative engineering environment
• Excellent communication skills up, down, and across the organization, with the ability to translate complex technical concepts for both technical and non-technical audiences and a proven track record of doing so in client-facing or external partnership contexts
• Fluency in how AI is reshaping data engineering, demonstrated comfort with agentic tooling, and a track record of building AI into the stack and approaching the work differently
• Consistently engages data engineering early in the process, understands how data is used and created across the organization, and knows how to activate a strong existing team to deliver more

Responsibilities

• Lead a team of 2-4 Data Engineers to design and build data pipelines from various sources to a target data warehouse using real-time and batch loading on a modern cloud stack
• Provide servant leadership, support performance reviews, give actionable feedback, and invest in engineers' career growth
• Own end-to-end data platform design and delivery—from ingestion to outgestion, scheduling, alerting, and monitoring
• Build relationships with business, client, and technical stakeholders to translate strategy into a technical roadmap and push back when needed
• Establish and enforce data governance, data quality, lineage, access control, metadata, and end-to-end workflows
• Drive platform reliability, scalability, performance, cost optimization, and proactive monitoring
• Lead proofs-of-concept to validate and improve processes and approaches
• Champion AI integration into the data stack and AI-forward tooling practices
• Engage early with stakeholders to surface value opportunities and involve data engineering before requirements lock

Skills

Team leadership

Databricks

Cloud platforms (AWS)

Python

PySpark

Data governance

Observability

GitHub & CI/CD

Communication

AI integration

Stakeholder engagement

Tools

Databricks Unity Catalog

Delta Lake

Workflow orchestration

AWS

Azure

GCP

Python

PySpark

GitHub

CI/CD

Job description

The Red Ventures Home Client Services group is looking for a Data Engineering Manager to lead a team of up to four data engineers building the data platform that powers our home services business. In this role, you'll translate business strategy into executable technical plans across a modern lakehouse stack, serve as a credible technical point of contact for external clients and internal stakeholders, and push the team toward an AI-forward way of working. You'll bring enough technical depth to coach and redirect, and enough business fluency to engage early and drive real impact.

This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or South Charlotte area offices.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

What You’ll Do

• Lead a team of 2-4 Data Engineers with varied experience levels to design and build data pipelines from various data sources to a target data warehouse using real-time and batch data load strategies utilizing modern cloud technologies
• Serve as a people leader through servant leadership, supporting formal performance review cycles, providing regular actionable feedback, and actively investing in each engineer's career development and long-term growth
• Own the design and delivery of data platform solutions end to end: from ingestion and transformation to outgestion, scheduling, alerting, and monitoring, ensuring the platform reliably serves business needs at scale
• Build and maintain strong relationships across business, client, and technical stakeholders, translating business strategies and requirements into a forward-looking technical roadmap, holding the team accountable to delivering against it, and serving as a credible, trusted point of contact who knows when and how to push back
• Establish and enforce standards for data governance, documentation, data quality, and pipeline observability, including lineage, access control, metadata, and end-to-end integration workflows
• Drive operational excellence across the platform: reliability, scalability, performance, cost optimization, and proactive monitoring and alerting practices
• Lead and execute proof-of-concepts where appropriate to assess, validate, and improve technical processes and approaches
• Spot and champion opportunities to build AI into the data stack, push the team toward agentic tooling and AI-assisted pipeline development, and model an AI-forward approach to how the work gets done
• Engage early with business stakeholders to understand how data is used and created across the organization, surface opportunities to deliver more value upstream, and keep data engineering involved before requirements are locked

What We’re Looking For

• 3+ years managing a data engineering team, plus at least 5 years of hands-on data engineering experience before or alongside that management experience
• 4+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and workflow orchestration, with the ability to architect solutions within the platform
• 4+ years working on cloud technologies: AWS preferred, Azure or GCP experience welcome
• Strong hands-on coding experience with Python and PySpark in a distributed computing context
• Strong background in code-first data transformation workflows, scalable data modeling, and data quality best practices
• Deep expertise in data governance, including data quality standards, lineage, access control, and documentation, and a track record of holding a team accountable to those standards
• Experience with pipeline observability and monitoring practices: knows what it takes to run reliable data products in production, including alerting, backfill management, and failure triage
• Experience with GitHub and CI/CD processes in a collaborative engineering environment
• Excellent communication skills up, down, and across the organization, with the ability to translate complex technical concepts for both technical and non-technical audiences and a proven track record of doing so in client-facing or external partnership contexts
• Fluency in how AI is reshaping data engineering, demonstrated comfort with agentic tooling, and a track record of building AI into the stack and approaching the work differently
• Consistently engages data engineering early in the process, understands how data is used and created across the organization, and knows how to activate a strong existing team to deliver more

Compensation

Total Cash Compensation Range: $130,000 – $200,000 per year

New York City Total Cash Compensation Range: $162,500 – $250,000 per year

Actual compensation varies based on location, experience, and qualifications.

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world‑class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

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