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Senior Data Analytics Engineer

3 weeks, 5 days ago
United States
Full-time
Senior
Analytics Engineer
Data Science and Analytics
Agile AWS dbt Machine Learning Power BI Python Snowflake SQL Tableau
Apply Now
WorkWave

WorkWave

WorkWave provides field service management software solutions to automate business operations, improve efficiency, and enhance customer experiences through a suite of products like PestPac® and WorkWave Service™.

Professional Services
251-1K
Founded 1984
View All Jobs 18

Description

  • Own the data ecosystem, including the health, cost, and observability of the stack.
  • Build and maintain data pipelines and ETL processes.
  • Design and manage data warehouses and data models that support advanced analytics and self-service reporting.
  • Develop and maintain data lakes, warehouses, and databases for analytics and AI workflows.
  • Optimize SQL and Python workloads, including troubleshooting and performance tuning.
  • Implement data quality frameworks to improve reliability and integration across systems.
  • Maintain clear documentation for data engineering processes and governance.
  • Collaborate with product, engineering, and customers to translate business goals into technical requirements.
  • Support AI/ML initiatives by creating models and data foundations that enhance analytics.
  • Present data insights and actionable recommendations to technical and non-technical stakeholders.

Requirements

  • 5+ years of experience in data engineering roles with ownership of pipelines and infrastructure optimization.
  • Strong proficiency in SQL, including CTE optimization.
  • Strong proficiency in Python, including complex scripting and ML/AI-related work.
  • Experience architecting data pipelines and ETL processes.
  • Experience with tools such as Fivetran, Snowflake, and DBT.
  • Experience building business-driven analytics and visualization solutions with PowerBI, Sigma, Tableau, or similar tools.
  • Proven ability to communicate analytical insights and recommendations to technical and non-technical stakeholders.
  • Master’s degree in engineering or analytics.
  • Preferred: Familiarity with AWS and big data technologies such as Snowflake.
  • Preferred: Experience leading data engineering projects and integrating data from multiple sources.
  • Preferred: Experience working in small teams and agile environments.

Benefits

  • Competitive salary of $130,000 to $175,000 per year.
  • Health and dental insurance.
  • 401(k) with company match.
  • Flexible Time Off or generous PTO plan, depending on role.
  • Paid holidays.
  • Up to 4 weeks of paid bonding leave.
  • Tuition reimbursement.
  • 24/7 Employee Assistance Program, including free counseling, financial counseling, legal guidance, and adoption assistance.
  • 24/7 virtual medical care through Teladoc.
  • Remote-first work environment with office flexibility when needed.
  • Quarterly awards based on peer nominations.
  • Regional discounts and perks.
  • Opportunities to participate in charitable events.
  • Access to 24/7 training libraries and live training sessions.

Interested in this position?

Apply directly on the company website

Apply Now

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