Junior Python Programmer Jobs in Georgia (NOW HIRING)

Job Summary:
UST is a mission-driven company that transforms lives through technology. They are seeking an Analyst / Junior Developer to design and deliver scalable data architectures and advanced data engineering solutions to support enterprise analytics and customer intelligence use cases.
Responsibilities:
• Design and develop advanced data engineering solutions that enable data pipelines, visualization, and analytical tools
• Architect and implement scalable data platforms across on-premises, cloud, and hybrid environments
• Build, optimize, and operate complex batch and real-time and near real-time streaming data pipelines
• Build, optimize, and operate low-latency, sub-second APIs on highly scalable, fault-tolerant architectures.
• Design and maintain high-throughput data pipelines to support agentic AI workloads and real-time multi-agent MCP orchestration.
• Build and maintain enterprise-scale Graph Databases that power organizational knowledge graphs and connected data experiences.
• Perform data wrangling, exploration, and discovery across heterogeneous data sources to generate insights
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
• 8+ years of hands-on experience designing, building, and supporting data engineering solutions
• Strong experience developing and migrating data solutions across cloud platforms
• Demonstrated technical leadership and mentoring experience
• Strong analytical and problem-solving skills applied to complex data challenges
• Ability to manage multiple concurrent initiatives with strong organizational and prioritization skills
• Passion for learning and applying new data and platform technologies
• Core Data Engineering & Platforms
• Advanced experience designing and building complex data pipelines using Python and SQL
• Strong 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 tuning
• Expertise in SQL, NoSQL, and relational database design and development
• APIs, Streaming & Integration
• Proficiency designing and consuming RESTful APIs with secure authentication and authorization (OAuth 2.0, JWT, API keys)
• Experience using Postman and Swagger/OpenAPI for API testing, documentation, and validation
• Working knowledge of message queuing, stream processing, and highly scalable big-data data stores
• Engineering Practices
• Advanced knowledge of data pipeline development using Python and experience with languages such as SQL, DAX, Java, Scala, and/or Go
• Experience performing root-cause analysis and using technology to solve complex business problems
• Experience adopting AI-assisted development tools and building AI-powered agents or agentic workflows to automate engineering tasks, accelerate delivery, and enhance data platform capabilities
• Experience with NL-to-SQL query generation using Databricks Genie and Snowflake Cortex to enable natural language access to data assets
• Hands-on experience with Unity Catalog for data governance, fine-grained access control, and end-to-end data lineage
• Experience developing AI-assisted dbt models, including AI-generated transformation logic, automated documentation, and intelligent testing
• Familiarity with AI-powered data quality tools for automated profiling, anomaly detection, and pipeline observability
Preferred:
• Experience with Iceberg table design and optimization
• Experience with Unity Catalog governance and security
• Cloud platform certifications such as Azure Certified Solutions Architect, Azure Cloud Practitioner, or MCSA
• Experience contributing to enterprise data governance, security, or compliance initiatives
• Experience 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 workflows
• Exposure to end-to-end ML pipeline ownership and real-time AI inference plumbing in production environments
Company:
UST is a global digital transformation solutions provider. Founded in 1999, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.