Analyst / Junior Developer

The 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.

The opportunity:

• 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

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be 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

• Must Have Skills:

• 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

• Nice to Have:

• 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

Pulled from the full job description

• Health insurance
• 401(k) matching
• Vision insurance
• Health savings account
• Dental insurance
• Paid sick time
• Paid jury duty, Full-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 allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws., Compensation range: $56,000.00 to $84,000.00 per year

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live. With us, you'll create a boundless impact that transforms your career-and the lives of people across the world., We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions., UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.