WorkWave
The Leader in Cloud-Based Field Service and Fleet Management Solutions for Companies With a Mobile Workforce.
Senior AI/Data Engineer
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