Leads a team of 2-4 data engineers building and running the data platform for Red Ventures' home services business, translating business strategy into technical plans on a modern Databricks lakehouse stack (AWS, Python/PySpark). Owns pipelines, governance, observability, and stakeholder relationships while driving an AI-forward way of working.
Compensation
$130K–$200K / yr
Location
Charlotte, NC; New York, NY; United States
Work setup
Not specified
Seniority
Not specified
Employment
Contract
Experience
3+ years
Category
Data engineering
Posted
Skills
agentic-ai
ai
aws
azure
ci-cd
cloud
data-engineering
data-governance
data-modeling
data-pipelines
data-quality
data-warehousing
databricks
delta-lake
distributed-computing
gcp
github
lakehouse
observability
pyspark
python
unity
unity-catalog
workflow-orchestration
Must have
3+ years managing a data engineering team
At least 5 years of hands-on data engineering experience before or alongside management experience
4+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and workflow orchestration, with 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: data quality standards, lineage, access control, and documentation, with a track record of holding a team accountable
Experience with pipeline observability and monitoring practices: alerting, backfill management, and failure triage in production
Experience with GitHub and CI/CD processes in a collaborative engineering environment
Excellent communication skills with the ability to translate complex technical concepts for technical and non-technical audiences, including client-facing contexts
Fluency in how AI is reshaping data engineering, comfort with agentic tooling, and a track record of building AI into the stack
Full 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.
Curious how Home fits into Red Ventures? Click here.
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
Data Engineering Manager | Home Client Services at Red Ventures (Charlotte, NC; New York, NY; United States) — aijobsearch
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 and follow @RedVentures on LinkedIn and Instagram.
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