Senior Data Engineer, ML Infrastructure
Serve Robotics
CloudETLGoogle Cloud PlatformPythonSQL
Data Engineer – Client-Facing
DAS42
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $95,000 - $130,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAWSBigQueryCloudETLPerlPythonSQLTableau
About the role
- 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
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata engineeringdata modelingETL pipelinesbusiness intelligencedatabase optimizationscripting (Python, R, Perl, bash)advanced SQLdata warehousingcloud computing (AWS, Google Cloud)
Soft skills
problem solvingquick learningcommunicationteachingproject management
