Data Engineering Manager

Red Ventures

. 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 .

Posted 9/25/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPySparkPythonUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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