Data Engineering Manager | AllConnect

Red VenturesCharlotte, NC
2h$130,000 - $205,000Hybrid

About The Position

The Red Ventures Home and Utility group is looking for a talented Data Engineering Manager to join our team! As a Data Engineering Manager at Red Ventures, you will have the opportunity to build technology that drives real value for the users of our products all aimed at helping people choose best possible services/products for them. You will lead a team tasked with designing, developing, testing, and maintaining big data pipelines to create a foundation that powers our business analytics and machine learning efforts to drive our vision!

Requirements

  • 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
  • 3+ 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)
  • 2+ 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.

Responsibilities

  • 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

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): 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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