WorkWave

The Leader in Cloud-Based Field Service and Fleet Management Solutions for Companies With a Mobile Workforce.

Senior AI/Data Engineer

Full TimeRemoteTeam 1,001-5,000Since 1984H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

$160K - $180K / year

Bachelor Degree5 yrs expEnglishAirflowAmazon RedshiftAWSAzureBig QueryCloudGoogle Cloud PlatformPythonScikit LearnSQL

Job 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.

Job 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

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