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Senior Data Analytics Engineer

1 month, 1 week 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 and maintain the company’s data ecosystem, including the health, cost, and observability of the stack.
  • Build and maintain robust data pipelines and ETL processes.
  • Design and manage data warehouses, lakes, and databases to support advanced analytics and AI workflows.
  • Create business-first data models that enable self-service in tools such as Power BI, Tableau, and Sigma.
  • Maintain comprehensive documentation for data engineering processes and governance.
  • Optimize SQL and Python workloads, including query tuning, pipeline performance, and proactive troubleshooting.
  • Implement data quality frameworks to ensure reliable data and smooth cross-system integrations.
  • Collaborate with product, engineering, and customers to translate business goals into technical requirements.
  • Support AI/ML initiatives by creating models that enhance analytics and machine learning projects.
  • Lead data engineering projects and integrate data from multiple sources, especially in small-team and agile environments.

Requirements

  • 5+ years of experience in data engineering, including ownership of pipelines and infrastructure optimization.
  • Advanced proficiency in SQL, including CTE optimization.
  • Strong Python skills, including complex scripting and AI/ML-related work.
  • Experience architecting data pipelines and ETL processes with tools such as Fivetran, Snowflake, and dbt.
  • Experience building business-driven data visualization solutions using Power BI, Sigma, Tableau, or similar tools.
  • Proven ability to communicate analytical insights and actionable recommendations to both technical and non-technical stakeholders.
  • Master’s degree in engineering or analytics.
  • Familiarity with cloud platforms such as 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 (preferred).

Benefits

  • Remote-first work environment with flexibility to work virtually or from the office.
  • Competitive salary of $130,000 to $175,000 per year.
  • Health, dental, and 401(k) benefits with company match.
  • Flexible Time Off policy or generous PTO plan, plus paid holidays.
  • Up to 4 weeks of paid bonding leave.
  • Tuition reimbursement and extensive training resources.
  • 24/7 employee assistance and virtual medical care through Teladoc.
  • Quarterly awards, regional discounts, charitable events, and community involvement opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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