Data Engineer Consultant
Role details
Job location
Tech stack
Job description
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. What You'll Do
- 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., Lead Data Engineers at Excella design, develop, and optimize data solutions, mentor team members, and ensure technical delivery aligns with business goals. Top Skills: Azure Data FactoryAzure DevopsAzure FabricAzure Storage AccountsDatabricksDelta LakeHdinsightParquetPysparkPythonSQLStreaming AnalyticsSynapseTerraform Datalere, The Data Engineer Consultant will develop scalable data infrastructure, optimize SQL queries, design dimensional models, create visual dashboards, and collaborate with clients to meet data needs., Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation The Solution Architect leads CRM implementations and manages pre-sales engagement, ensuring customer satisfaction and project delivery while providing architectural advisory and technical solutions. Top Skills: Crm TechnologiesServicenow
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
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 (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 & conditions
- Base Salary Range: $95-125k (offered salary depends on experience and location)
Total Experience Equation We differentiate ourselves in the talent market by investing in a full suite of benefits and a culture that supports our employees' achievement of our core mission to help the world's leading companies make better decisions, faster. The values of DAS42 drive the Total Experience Equation we offer for our team. We hope to motivate and engage our employees through a variety of offerings that satisfy those values and needs in a way unique to DAS42. A few of those benefits include:
- Unlimited Vacation
- Medical, Vision, and Dental Insurance
- Paid Family and Medical Leave
- Individual and Company Bonus Programs
- Paid Family and Medical Leave
- Regular, In-person Company Events
- Flexible Work Policy
- Remote Work Stipend
- 401(k) Matching
- Learning and Development Programs
All new hires will be required to complete a background check, and employment at DAS42 is contingent upon successfully passing it. If an applicant is found to have misrepresented themselves, DAS42 reserves the right to withdraw the offer.