Data Engineer at Jahnel Group

LTI (Logic Technology, Inc.), the "Pro People" company, is a privately held technology solutions provider that offers best in class services to local, national and global organizations. Now after three decades, these initials have come to represent more than just our company name. They have also come to represent our hard-earned reputation for Leadership, Technology and Integrity.At LTI, we believe confident, motivated employees produce superior work, ensuring our client partnerships continue to thrive. We actively create an environment where great professionals want to be. We offer great benefits, interesting work and opportunities for personal development.OverviewWe are looking for a mid to senior level Data Engineer to design, build and support modern data solutions across cloud and machine learning platforms. This role focuses on creating scalable data pipelines, enabling ML workflows and driving the development of reliable, high-quality data systems within Azure. The ideal candidate brings strong analytical skills, hands-on engineering experience and a collaborative mindset to help shape the future of our data ecosystem.ResponsibilitiesBuild and maintain large-scale data pipelines that support analytics, reporting and machine learning initiativesDevelop and optimize data workflows using Azure services such as Data Factory, Databricks, Functions and Azure StorageCollaborate with data scientists to enable feature engineering, prepare training datasets and support ML model deploymentIntegrate, cleanse and transform structured and unstructured data from a wide range of sourcesDesign and implement scalable data models, schemas and storage patterns for batch and near-real-time processingSupport ML/AI efforts using Python, Spark, MLflow, scikit-learn, TensorFlow or PyTorchMonitor pipeline performance, troubleshoot failures and ensure consistent data quality and reliabilityContribute to CI/CD processes supporting both data engineering and machine learning automationDocument data flows, integrations, design decisions and best practicesPartner closely with cloud teams, software engineers and business stakeholders to deliver impactful and scalable data solutionsRequired Skills & QualificationsStrong experience working with Azure data services (ADF, Databricks, Synapse, Azure SQL, Azure Storage or similar)Proficiency in Python for data engineering and ML-related developmentExperience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorchHands-on background building ETL/ELT pipelines using Spark, Delta Lake or similar big-data toolsStrong SQL skills including schema design, data modeling and performance tuningSolid understanding of version control, CI/CD practices and modern development workflowsAbility to work effectively within cross-functional engineering and analytics teamsStrong analytical thinking, troubleshooting abilities and attention to detailExperience supporting enterprise-scale environments or high-volume data systemsPreferred Skills6+ years of experience in data engineering or similar cloud/ML-focused rolesExperience with distributed systems or large-scale data architecturesFamiliarity with ML lifecycle tools such as MLflow or Azure MLExposure to data governance, cataloging or lineage solutionsUnderstanding of DevOps practices, infrastructure automation or cloud securityExperience contributing to process improvements, scaling data systems or optimizing data workflowsWhere We're Looking For ItSchenectady, New York100% Remote for the right candidateOther InformationThe work hours will be approximately 8:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required. Salary dependent upon experience.