Team Lead, Data Engineering

DAS42

Lead Data Consultant designing and delivering scalable data solutions for clients at DAS42. Advising on data value maximization and solution architecture, while mentoring teams.

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $115,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Guide clients on optimizing their data environment for maximum efficiency.
Develop system engineering, integrations, and architectures based on client needs.
Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
Develop data models to capture client's KPIs and data transformations; validate and test data models.
Teach technical data modeling concepts to various audiences, including developers and IT professionals.
Manage technical teams of up to 4-6 people, delegating work across engagements.
Assign staff with appropriate skill sets to projects in conjunction with the project manager.
Work within a project management framework to meet objectives and understand the impact of your work.
Collaborate with Sales and Marketing teams to develop Thought Leadership and support sales efforts.

Requirements

What you’ll need

5 to 8 years of work experience in data analytics or data engineering.
Minimum of 1 year leading projects, formally or informally.
Experience managing internal employees, ideally with formal direct reports.
A passion for exploring and solving different kinds of problems.
Exposure to developer tools/workflow (e.g., git/github, SSH) and command line environments.
Familiarity with project management tools (e.g., Basecamp, JIRA, ASANA).
Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
Proficiency with business visualization tools (e.g., Looker, Tableau, Microsoft PowerBI).
Experience with data warehousing and using Snowflake.
Experience optimizing database/query performance.
Proficiency with Python and advanced SQL.
Bachelor's or Master’s degree in a quantitative or technical field (preferred).
Experience in consulting/services organizations (preferred).
Experience with Media & Entertainment or Telecom companies (preferred).

Benefits

Comp & perks

Unlimited Vacation
Medical, Vision, and Dental Insurance
Paid Family and Medical Leave
Individual and Company Bonus Programs
Regular, In-person Company Events
Flexible Work Policy
Remote Work Stipend
401(k) Matching
Learning and Development Programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsdata engineeringdata warehouse solutionsETL pipelinesdata modelingSQLPythondatabase performance optimizationbusiness visualization toolsAWS

Soft Skills

problem solvingteam managementdelegationcollaborationleadership