Data Engineer

About the Role

DAS42 has multiple Data Engineer openings. This person will be a key member of our consulting staff responsible for maintaining high delivery standards across an engagement team. This individual will have the opportunity to work with various technologies and projects within a given client. The ideal candidate enjoys learning new skills, contributing to the pre-sales process, working within a collaborative environment, and solving complex technical problems.

What You’ll Do

• Develop system engineering, data integrations, and architectures based on client needs.
• Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Develop data models around stated use cases to capture client’s KPIs, data transformations, and data requirements; validation and testing of data models.
• Support, maintain, and document clients’ data environments.
• Contribute to and collaborate on project deliverables, either independently or as part of a larger consulting team.
• Work within a project management framework (i.e., Agile) to meet objectives, understand scope, and impact of your work across an organization.
• Guide clients on optimizing their data environment to operate most effectively and efficiently for them. Clarify management objectives through data solutions.
• Work with the Sales and Marketing teams to develop Thought Leadership and workable POCs and support our sellers by talking to clients about DAS42’s go-to-market capabilities.

What We’re Looking For

• 4-8 years of work experience in a data analytics or data engineering role.
• Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
• Must have previously worked within a consulting/professional services environment.
• Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
• Ability to explain technical concepts to non-technical people.
• Must have experience with data warehousing and using Snowflake.
• Experience with the AWS, Google Cloud ecosystem (e.g. BigQuery, Redshift).
• Worked with or for Media & Entertainment or Telecom companies (preferred)
• Bachelor's or Master’s degree in a quantitative (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
• A passion for exploring and solving different kinds of problems while learning and assimilating technical information quickly.

More about the position

• Anticipated Travel: 10% of the time 
• Location: Denver or NYC preferred, but we will consider all qualified candidates located in the United states
• Base Salary Range: $100-$170k (offered salary depends on experience and location)

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