Data Engineering Manager

Red Ventures

Data Engineering Manager leading a team of engineers to build data pipelines for Red Ventures’ analytics. Collaborating with cross-functional teams and applying advanced cloud technologies.

Posted 4/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $205,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformOraclePythonScalaSpark

About the role

Key responsibilities & impact

Lead a team of Data Engineers with varied experience level 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 by directly mentoring and coaching engineers, supporting formal performance review cycles, and providing regular, actionable feedback to drive individual growth and team success.
Work with a cross functional team of business stakeholders, engineering leaders, data analysts and data scientists to formulate both business and technical requirements.
Partner with business and data leaders to understand broader business strategies and define a roadmap outlining how the team will support and enable key initiatives.
Establish and enforce standards for documenting data platform designs, including logical and physical data models, metadata, ETL specifications, and end-to-end integration workflows.
Design processes for ensuring data quality and integrity while providing timely responses to ad hoc requests.
Lead and execute proof-of-concepts where appropriate to assess, validate, and improve technical processes and approaches.

Requirements

What you’ll need

Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders
3+ years of experience managing a mid size team
A technical leader who can guide and coach a team of data engineers
5+ years of experience in the big data space
Experience in translating business requirements into technical data solutions on a large scale
Experience working on Spark (SparkSQL / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
Experience with one of the major data warehousing solutions (we use Databricks but welcome candidates with experience in Snowflake, Oracle, Terradata or Redshift)
4+ years of experience working on Cloud technologies (we use AWS but welcome candidates with experience in Azure or GCP)
Experience with GitHub and CI/CD processes
Experience driving operational excellence for large-scale data platforms, including reliability, scalability, performance and cost optimization
Experience with Compute technologies like EMR and Databricks
Strong analytical and interpersonal skills.
Enthusiastic, highly motivated and ability to learn quickly.
Able to work through ambiguity in a fast-paced, dynamically changing business environment.

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): 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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETLSparkScalaPythondata warehousingAWSAzureGCPdata quality

Soft Skills

communicationmentoringcoachinganalytical skillsinterpersonal skillsleadershiporganizational skillsadaptabilityproblem-solvingteam collaboration