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Senior AI/Data Engineer

2 weeks, 3 days ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Software Development
Apache Airflow AWS Azure Dagster Databricks dbt Feature Engineering GCP MLOps Python Scikit-learn Snowflake SQL
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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 17

Description

  • Build trusted AI/ML prediction and forecasting data flows, including feature pipelines and data validation frameworks.
  • Design and implement reliable, scalable, and secure data pipelines for analytical and product use cases.
  • Own the architecture and evolution of the data platform to support business performance, scalability, and agility needs.
  • Implement data governance, quality, and observability practices to maintain trustworthy insights and data health.
  • Optimize cloud data infrastructure for cost, performance, and maintainability.
  • Provide technical leadership and mentorship to other data engineers and cross-functional collaborators.
  • Collaborate with product managers, engineers, and customer stakeholders to translate business needs into engineering solutions.
  • Ensure engineering efforts align with customer experience and deliver clear business value.

Requirements

  • 5+ years of experience in data engineering, including 1–2+ years in a senior or lead capacity.
  • Strong understanding of ML models and trade-offs between architectures such as complexity vs. inference speed and accuracy vs. interpretability.
  • Advanced Python proficiency for complex data structures and automation.
  • Strong SQL expertise.
  • Familiarity with Scikit-Learn and similar libraries, with experience building and maintaining feature engineering pipelines.
  • High proficiency in MLOps practices and orchestration tools such as Airflow, dbt, or Dagster.
  • Experience with modern data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
  • Strong understanding of data modeling, performance optimization, and cloud computing on AWS, GCP, or Azure.
  • Excellent communication and collaboration skills across technical and non-technical teams.
  • Experience in a senior or lead role is preferred.

Benefits

  • $160,000 - $180,000 annual salary.
  • Health and dental insurance.
  • 401(k) with company match.
  • Flexible Time Off policy or generous PTO plan, plus paid holidays.
  • Up to 4 weeks of paid bonding leave.
  • Tuition reimbursement.
  • Robust Employee Assistance Program with 24/7 counseling, financial counseling, legal guidance, and adoption assistance.
  • 24/7 virtual medical care through Teladoc.
  • Remote-first work flexibility and access to offices when needed.

Interested in this position?

Apply directly on the company website

Apply Now

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