
1001 - 5000 employees
Founded 2000
🏢 Enterprise
💸 Finance
💰 Private Equity Round on 2018-07
Enterprise • AI • Finance
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $130k - $190k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2000
🏢 Enterprise
💸 Finance
💰 Private Equity Round on 2018-07
Enterprise • AI • Finance
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.
• 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 cutting edge cloud technologies. • Serve as a people leader through servant leadership, supporting formal performance review cycles, and providing regular, actionable feedback to drive individual growth and team success. • Establish and enforce standards for data governance, documentation, data quality, and pipeline observability, including logical and physical data models, metadata, ETL specifications, lineage, access control, and end-to-end integration workflows. • Drive operational excellence for data platforms, including reliability, scalability, performance, cost optimization, and proactive monitoring and alerting practices. • Build and maintain strong relationships across business, client, and technical stakeholders, translating project objectives and business strategies into executable technical plans while serving as a credible, trusted point of contact who knows when and how to push back. • Lead and execute proof-of-concepts where appropriate to assess, validate, and improve technical processes and approaches.
• 3+ years of experience managing a data engineering team, and at least 5 years of hands-on data engineering experience before or alongside that management experience. • 4+ years of hands-on experience with Databricks and the ability to architect solutions within the platform, including Unity Catalog, Delta Lake, and workflow orchestration. • 4+ years of experience working on cloud technologies; AWS preferred but welcome candidates with Azure or GCP experience. • A technical leader who can guide and coach a team of data engineers, and who knows when to roll up their sleeves and contribute directly versus when to lead from behind. • Strong hands-on coding experience with Python; proficiency with PySpark in a distributed computing context. • Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders, and a track record of communicating effectively up, down, and across the organization. • Strong background in implementing code-first data transformation workflows while championing scalable data modeling and data quality best practices. • Expertise of data governance best practices, including data quality standards, lineage, access control, and documentation, and experience holding a team accountable to them. • Experience with pipeline observability and data quality practices, including monitoring, alerting, and what it takes to run reliable data products in production. • Experience with GitHub and CI/CD processes. • Strong analytical and interpersonal skills with the ability to work through ambiguity in a fast-paced, dynamically changing business environment. • Experience in a client-facing or external partnership environment is a strong plus.
• 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.
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