WorkWave · 2 weeks ago
Senior AI/Data Engineer
WorkWave is seeking a customer-centric Senior AI/Data Engineer to build and scale data systems that drive their decision intelligence products. The role involves designing systems that empower customer-facing data products, requiring deep technical expertise and strong collaboration across teams.
Enterprise Resource Planning (ERP)Enterprise SoftwareMobile PaymentsSaaSSoftware
Responsibilities
Build trusted AI/ML predictions and forecasts via feature pipelines, model input/output data flows, and robust data validation frameworks
Design and implement reliable, scalable, and secure data pipelines that serve analytical and product use cases
Provide technical leadership and mentorship to other data engineers and cross-functional collaborators, fostering a culture of engineering excellence
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
Ensure engineering efforts are aligned with delivering clear business value and enhancing the customer experience
Qualification
Required
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
Health and dental
401k with company match
Flexible Time Off policy
Generous PTO plan (role dependent)
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
Company
WorkWave
WorkWave is a provider of software and solutions that help mobile service companies thrive.
H1B Sponsorship
WorkWave has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Late StageTotal Funding
$8.3MKey Investors
HgTA AssociatesKey Venture Partners
2022-03-30Secondary Market
2021-06-22Private Equity
2021-06-22Acquired
Recent News
2025-11-05
2025-09-12
Company data provided by crunchbase