Data Engineering Manager

🔥 15 hours ago

🗽 New York, North Carolina – Remote

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💵 $130k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Red Ventures

Red Ventures

1001 - 5000 employees

Founded 2000

💼 Consulting

📣 Marketing

✈️ Travel

💰 Private Equity Round on 2018-07

Consulting • Marketing • Travel

Red Ventures is a portfolio of businesses focused on streamlining digital experiences and helping millions of people make informed decisions on important matters. The company combines AI technology, premium content, and sophisticated data analytics to personalize digital experiences for customers across owned brands and partners with top global brands. Red Ventures also offers client services, helping global brands improve their customer journeys, and engages in various investments including startups and strategic partnerships. Their areas of focus include education, home connectivity, financial services, energy, and travel.

📋 Description

• Lead a team of 2-4 Data Engineers designing and building data pipelines from various sources to a target data warehouse using real-time and batch loading strategies • Support performance reviews, provide actionable feedback, and invest in engineers’ career development and long-term growth • Own end-to-end data platform design and delivery, including ingestion, transformation, outgestion, scheduling, alerting, and monitoring • Translate business strategies and requirements into a technical roadmap and serve as a trusted point of contact for business, client, and technical stakeholders • Establish standards for data governance, documentation, data quality, pipeline observability, lineage, access control, metadata, and integration workflows • Drive platform reliability, scalability, performance, cost optimization, monitoring, and alerting • Lead proof-of-concepts to assess, validate, and improve technical processes • Champion AI in the data stack, agentic tooling, and AI-assisted pipeline development • Engage business stakeholders early to identify upstream opportunities and deliver greater value

🎯 Requirements

• 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 • Experience with pipeline observability and monitoring practices, including alerting, backfill management, and failure triage • Experience with GitHub and CI/CD processes in a collaborative engineering environment • Excellent communication skills and ability to translate complex technical concepts for technical and non-technical audiences in client-facing or external partnership contexts • Fluency in how AI is reshaping data engineering, comfort with agentic tooling, and experience building AI into the stack • Ability to engage data engineering early, understand organizational data usage and creation, and activate an existing team to deliver more • Not open to visa sponsorship or transfer of visa sponsorship, including H1-B, F-1, OPT, STEM-OPT, or TN visa • Not available to work corp-to-corp

🏖️ Benefits

• 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): Full-time employees accrue 20 days of PTO for a full calendar year annually, increasing to 25 days after five years of service

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