Data Engineer Consultant

DAS42

Data Engineer Consultant designing and implementing scalable data solutions at DAS42. Collaborating with clients to optimize data environments and support long-term infrastructure.

Posted 5/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $125,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudETLPerlPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 (eg. 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.
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).

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 modelingETL pipelinesbusiness intelligencedatabase optimizationscripting (Python, R, Perl, bash)advanced SQLdata warehousingdata transformations

Soft Skills

problem solvinglearning agilitycommunicationteachingcollaborationproject management

Certifications

Bachelor's degreeMaster’s degree