WorkWave

Senior Data Analytics Engineer

WorkWave

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $130,000 - $175,000 per year

Job Level

Senior

Tech Stack

ETLPythonSQL

About the role

  • Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes
  • Design and manage data warehouses to support advanced analytics, focusing on creating 'Gold Standard' data models
  • Maintain comprehensive documentation of all data engineering processes
  • Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows
  • Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues

Requirements

  • 5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure
  • Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI)
  • Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT
  • Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders
  • Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools
  • Masters degree in engineering or analytics
Benefits
  • Robust benefits package, including health and dental and 401k with company match
  • Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays
  • Up to 4 weeks paid bonding leave
  • Tuition reimbursement
  • Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365
  • 24/7 access to virtual medical care with Teladoc
  • Quarterly awards based on peer nominations
  • Regional discounts and perks
  • Opportunities to participate in charitable events and give back to the community

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringETL processesdata pipelinesSQLPythondata modelingdata warehousingdata lakesmachine learningcomplex scripting
Soft skills
analytical skillsbusiness intuitioncommunicationproblem-solvingstakeholder engagement
Certifications
Masters degree in engineeringMasters degree in analytics