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Data Engineering Manager
Location
United States
Posted
94 days ago
Salary
$130K - $205K / year
Seniority
Senior
Job Description
Data Engineering Manager
Red Ventures
• 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.
Job 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
- 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
- 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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