Data Engineer Consultant

Summary

Join DAS42, a data consultancy, as a Data Engineer Consultant to design and implement scalable data solutions for clients. You will guide clients on optimizing their data environments, translate business objectives into technical strategies, and support long-term data infrastructure. This client-facing role demands technical expertise, problem-solving skills, and effective communication with both technical and non-technical stakeholders. Responsibilities include developing data models, ETL pipelines, and BI tools, teaching data modeling concepts, and supporting clients' data environments. The position requires 3-4 years of experience in data analytics or engineering and proficiency in various technologies and tools. DAS42 offers a competitive salary, remote work options, and a comprehensive benefits package.

Requirements

• 3 to 4 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

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

Preferred Qualifications

• 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)
• Worked for a consulting/services organization
• Worked with or for Media & Entertainment or Telecom companies

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