Senior AI/Data Engineer

🕒 February 17

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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WorkWave

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1984

☁️ SaaS

🚗 Transport

🤝 B2B

SaaS • Transport • B2B

WorkWave is a leading provider of field service management software designed to enhance the efficiency of businesses across a wide range of industries. Their software solutions streamline operations, optimize workflows, and improve customer experiences. WorkWave's products encompass CRM & ERP software, field operations management, routing and scheduling, billing and payments, along with fintech and marketing solutions. With tools tailored for industries such as pest control, cleaning, HVAC, lawn care, and delivery, WorkWave aims to support businesses in increasing operational efficiency and customer satisfaction through technology-driven solutions.

📋 Description

• Build and scale data systems that drive our “decision intelligence” products. • Collaborate across teams to ensure data is a true product enabler. • Design systems that empower customer-facing data products. • Provide technical leadership and mentorship to other data engineers and cross-functional collaborators. • Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. • Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. • Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. • Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions.

🎯 Requirements

• 5+ years of experience in data engineering, with 1–2+ years in a senior or lead capacity. • You possess a profound understanding of ML models and can articulate the trade-offs between different architectures (e.g., complexity vs. inference speed, accuracy vs. interpretability) to ensure the right tool is selected for the job. • "Ninja-level" proficiency in Python for complex data structures and automation, alongside strong SQL expertise. • Strong familiarity with Scikit-Learn and similar libraries, with specific experience building and maintaining associated feature engineering pipelines. • High proficiency in MLOps practices and orchestration tools (e.g., Airflow, dbt, Dagster) to manage model lifecycles and data dependencies. • Solid experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). • Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure). • Excellent communication and collaboration skills, with a proven ability to work effectively across technical and non-technical teams.

🏖️ Benefits

• Employees can expect a robust benefits package, including health and dental and 401k with company match • Find your perfect work/life balance with our 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, plus financial counseling, legal guidance, adoption assistance services and much more! • 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