Data Engineer Consultant

DAS42

$95K — $125K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4 to 6 years in data analytics or engineering
  • Strong problem-solving abilities
  • Quick learner of technical information
  • Familiarity with developer tools (e.g., git/github)
  • Experience with project management software (e.g., JIRA)
  • Proficiency in cloud services (AWS, Google Cloud)
  • Skilled in BI tools (Tableau, PowerBI)
  • Knowledge of data warehousing with Snowflake
  • Ability to optimize database performance
  • Proficiency in scripting languages (Python, R) and SQL
  • Bachelor's or Master's in a quantitative or technical field
  • Preferably experienced in consulting and Media & Entertainment or Telecom.

Responsibilities

  • Guide clients in optimizing their data environments.
  • Develop engineering solutions based on client needs.
  • Implement data warehouse solutions and ETL pipelines.
  • Create data models to capture client KPIs and transformations.
  • Teach data modeling concepts to varied audiences.
  • Support and document client data environments.
  • Collaborate with project management to meet objectives.
  • Assist Sales and Marketing with thought leadership.

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
Full Job Description
About the Role

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.
What We're Looking For
  • 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).
More about the position
  • Anticipated Travel: up to 10% of the time
  • Location: USA, Remote
  • 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

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