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Data Engineering Manager | Home Client Services

10 hours, 11 minutes ago
United States
Full-time
Lead
Engineering Manager
Software Development
Apache Spark AWS Azure CI/CD Databricks GCP GitHub Python
Apply Now
Red Ventures

Red Ventures

Red Ventures is a digital consumer choice platform that simplifies online experiences through premium content and AI-driven marketing.

Media
1001-5000
Founded 2000
$250M raised
View All Jobs 11

Description

  • Lead and develop a team of 2-4 data engineers through feedback, performance reviews, and career development.
  • Design and build real-time and batch data pipelines from varied sources to the data warehouse using cloud technologies.
  • Own end-to-end delivery of data platform solutions, including ingestion, transformation, outgestion, orchestration, alerting, and monitoring.
  • Translate business strategy and stakeholder requirements into a technical roadmap and hold the team accountable for delivery.
  • Establish standards for data governance, documentation, quality, lineage, access control, metadata, and observability.
  • Drive platform reliability, scalability, performance, cost optimization, proactive monitoring, and failure management.
  • Lead proof of concepts to evaluate and improve technical processes and approaches.
  • Identify and implement AI opportunities in the data stack, including agentic tooling and AI-assisted pipeline development.
  • Partner early with business, client, and technical stakeholders to understand data needs and deliver upstream value.

Requirements

  • 3+ years of experience managing a data engineering team and 5+ years of hands-on data engineering experience.
  • 4+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, workflow orchestration, and solution architecture.
  • 4+ years of cloud experience; AWS preferred, with Azure or GCP accepted.
  • Strong hands-on Python and PySpark experience in distributed computing environments.
  • Experience with code-first data transformation, scalable data modeling, and data quality practices.
  • Deep expertise in data governance, including quality standards, lineage, access control, and documentation.
  • Experience operating production data products with observability, monitoring, alerting, backfill management, and failure triage.
  • Experience with GitHub and CI/CD in a collaborative engineering environment.
  • Ability to communicate complex technical concepts to technical and non-technical audiences, including external clients or partners.
  • Experience applying AI and agentic tooling to data engineering workflows.
  • Ability to work remotely or in a hybrid arrangement, with preference for East Coast candidates; hybrid offices are in New York, NY and South Charlotte.
  • Must be authorized to work without visa sponsorship or transfer; corp-to-corp arrangements are not available.

Benefits

  • Total cash compensation of $130,000-$200,000 annually; $162,500-$250,000 annually for New York City, depending on location, experience, and qualifications.
  • Medical, dental, and vision insurance.
  • Life insurance and short- and long-term disability insurance.
  • Flexible spending accounts and an employee assistance program.
  • 401(k) with employer match.
  • Holiday pay and paid parental bonding benefits.
  • Flexible PTO: 20 days annually for full-time employees, increasing to 25 days after five years of service.

Interested in this position?

Apply directly on the company website

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