Data Engineer

📌 We're Hiring: Data & ML Engineer | Foster Weise CoveyWe're building intelligent, production-grade data systems that power real business decisions — and we need a sharp Data & ML Engineer to help us close the gap between experimentation and impact.This is not a "build dashboards and call it data work" role. You'll own the full lifecycle: from pipeline architecture and ETL automation to model training, deployment, and drift monitoring in production environments.
What you'll be doing:Designing and maintaining scalable data architectures that feed ML models and analytical workflowsBuilding, validating, and deploying ML models (supervised, unsupervised, and recommender systems) into productionAutomating ETL/ELT pipelines with quality, reliability, and observability built inImplementing MLOps practices — versioning, CI/CD for models, monitoring for data and model driftCollaborating with AI Product Engineers to integrate models into APIs and servicesPerforming cross-validation, A/B testing, and hyperparameter tuning aligned to business KPIsDocumenting everything — models, metrics, pipelines — with the traceability a production environment demands
What we're looking for:2–3 years of hands-on experience in data engineering and MLAdvanced Python and SQL (SQL Server, including SPs, functions, and jobs)AWS fluency: Redshift, Athena, S3, Lambda, Step Functions, SNS/SQS, PersonalizeExperience with TensorFlow (advanced) and PyTorch (intermediate)Solid grounding in ETL processes, statistical modeling, and regression/classification techniquesMLOps experience: Git, CI/CD, production model lifecycle managementExperience with LLMs and embeddings is a strong plusExposure to NoSQL, REST APIs, and C# /.NET is a plusDegree in Data Engineering, Computer Science, AI, or a related fieldEnglish: intermediate or above
Soft skills that matter here:Curious. Proactive. Methodical. Comfortable breaking down complex problems and prioritizing ruthlessly. You work well in a team but don't need to be managed.
What we offer:A technical environment where your work ships to production and generates measurable business impactCollaboration with cross-functional teams across multiple business unitsA real path to grow alongside a product and data team that takes craft seriously