Analyst / Junior DeveloperDeveloper I - Software EngineeringJob OverviewThe Sr Engineer, Data designs and delivers scalable data architectures and advanced data engineering solutions across on‑premises, cloud, and hybrid platforms to support enterprise analytics and customer intelligence use cases.ResponsibilitiesDesign and develop advanced data engineering solutions that enable data pipelines, visualization, and analytical toolsArchitect and implement scalable data platforms across on‑premises, cloud, and hybrid environmentsBuild, optimize, and operate complex batch and real‑time and near real‑time streaming data pipelinesBuild, optimize, and operate low‑latency, sub‑second APIs on highly scalable, fault‑tolerant architecturesDesign and maintain high‑throughput data pipelines to support agentic AI workloads and real‑time multi‑agent MCP orchestrationBuild and maintain enterprise‑scale Graph Databases that power organizational knowledge graphs and connected data experiencesPerform data wrangling, exploration, and discovery across heterogeneous data sources to generate insightsWhat you needBachelor's Degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience1-3 years of experienceStrong experience developing and migrating data solutions across cloud platformsDemonstrated technical leadership and mentoring experienceStrong analytical and problem‑solving skills applied to complex data challengesAbility to manage multiple concurrent initiatives with strong organizational and prioritization skillsPassion for learning and applying new data and platform technologiesMust Have SkillsCore Data Engineering & PlatformsAdvanced experience designing and building complex data pipelines using Python and SQLStrong experience with cloud platforms and services, including:Azure (Data Factory, Data Lake, Event Hub, Functions, Web Apps, Cosmos DB)Databricks with PySpark, Spark SQL, and Scala Spark, including cluster configuration, autoscaling, and performance optimization (e.g., Photon)Snowflake data warehousing, including schema design (star/snowflake), query optimization, and cost/performance tuningExpertise in SQL, NoSQL, and relational database design and developmentAPIs, Streaming & IntegrationProficiency designing and consuming RESTful APIs with secure authentication and authorization (OAuth2.0, JWT, API keys)Experience using Postman and Swagger/OpenAPI for API testing, documentation, and validationWorking knowledge of message queuing, stream processing, and highly scalable big‑data data storesEngineering PracticesAdvanced knowledge of data pipeline development using Python and experience with languages such as SQL, DAX, Java, Scala, and/or GoExperience performing root‑cause analysis and using technology to solve complex business problemsExperience adopting AI‑assisted development tools and building AI‑powered agents or agentic workflows to automate engineering tasks, accelerate delivery, and enhance data platform capabilitiesExperience with NL‑to‑SQL query generation using Databricks Genie and Snowflake Cortex to enable natural language access to data assetsHands‑on experience with Unity Catalog for data governance, fine‑grained access control, and end‑to‑end data lineageExperience developing AI‑assisted dbt models, including AI‑generated transformation logic, automated documentation, and intelligent testingFamiliarity with AI‑powered data quality tools for automated profiling, anomaly detection, and pipeline observabilityNice to HaveExperience with Iceberg table design and optimizationExperience with Unity Catalog governance and securityCloud platform certifications such as Azure Certified Solutions Architect, Azure Cloud Practitioner, or MCSAExperience contributing to enterprise data governance, security, or compliance initiativesExperience with ML feature platforms (e.g., Feast, Tecton, or Databricks Feature Store) and vector database engineering (e.g., Pinecone, Weaviate, pgvector)Experience designing and operating streaming AI pipelines and applying MLOps practices to data engineering workflowsExposure to end‑to‑end ML pipeline ownership and real‑time AI inference plumbing in production environmentsCompensation and LocationRole Location: GeorgiaCompensation Range: $56,000-$84,000BenefitsFull‑time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company‑paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short‑ and long‑term disability benefits. Regular employees may purchase additional voluntary short‑term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowed under IRS guidelines.Equal Employment Opportunity StatementUST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.#J-18808-Ljbffr