Data Engineer (client-facing)

DAS42

74d • $95,000 - $130,000

About The Position

DAS42 is looking for a strategic and technically proficient Data Engineer Consultant to help clients unlock the full value of their data. In this role, you will design and implement scalable data solutions, from data models and ETL pipelines to cloud data warehouses and BI tools. You will advise clients across industries on how to optimize their data environments, translate business objectives into technical strategies, and support long-term data infrastructure. This is a client-facing, consultative role requiring technical fluency, a problem-solving mindset, and the ability to communicate complex concepts to both technical and non-technical stakeholders.

Requirements

• 4 to 6 years of work experience in a data analytics or data engineering role.
• A passion for exploring and solving different kinds of problems.
• A desire to learn and assimilate technical information quickly.
• Exposure to developer tools/workflow (e.g. git/github, SSH).
• Knowing how to get around a command line environment.
• Project management (e.g. Basecamp, JIRA, ASANA).
• Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
• Experience with data warehousing and using Snowflake.
• Experience optimizing database/query performance.
• Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.

Nice To Haves

• Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
• Worked for a consulting/services organization (preferred).
• Worked with or for Media & Entertainment or Telecom companies (preferred).

Responsibilities

• Guide clients on optimizing their data environment to work most effectively and efficiently for them.
• Clarify management objectives through data solutions.
• Develop system engineering, integrations, and architectures based on client needs.
• Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations.
• Validation and testing of data models.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Support, maintain, and document clients’ data environments.
• Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
• Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 51-100 employees