Data Engineer IV- #26-16632

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Senior Data Engineer to design and maintain scalable data pipelines, optimize data workflows, and enable AI capabilities across the organization. The role involves collaboration with cross-functional teams to enhance customer experience through data insights and automation.

Responsibilities:

• Design, develop, integrate, launch, and maintain scalable data pipelines (batch and streaming) that support multiple use cases across PSO
• Build and optimize ETL/ELT workflows, data models, and data warehouse architectures to facilitate efficient development of data artifacts
• Implement data quality frameworks including validation, monitoring, alerting, and lineage tracking to ensure data reliability
• Develop and manage orchestration workflows (e.g., Airflow, Dataswarm) for scheduling and dependency management of data pipelines
• Optimize query performance, pipeline efficiency, and storage costs across large-scale data infrastructure
• Create interactive and dynamic data visualizations that communicate complex insights to stakeholders
• Work with various data sources—including customer interactions, feedback, behavioral data, and operational logs—to integrate and build reports that identify pain points and trends
• Develop and track key performance indicators to measure the effectiveness of customer experience initiatives
• Enable AI/ML-powered analytics by building and maintaining feature pipelines, curated datasets, and model-ready data assets
• Leverage large language models (LLMs) and generative AI tools to automate data workflows, accelerate insight generation, and enhance self-service capabilities for stakeholders
• Develop and maintain prompt engineering frameworks, AI-assisted reporting tools, and intelligent automation solutions that scale team productivity
• Partner with engineering and data science teams to integrate AI/ML model outputs into dashboards and operational workflows
• Evaluate and implement emerging AI tools and techniques to continuously improve the team's analytics and data engineering capabilities
• Work closely with customer service and operations, product, and engineering teams to integrate data insights into business decisions and drive customer experience improvements
• Champion data literacy and AI enablement across the organization through documentation, training, and best practice sharing
• Building and maintaining self-service dashboards for stakeholders across PSO
• Enabling AI capabilities and integration across the organization to reduce manual effort
• Performing QA and validation for dashboards to ensure data accuracy and reliability
• Designing, building, and maintaining data pipelines to move data between systems
• Ingesting data from third-party sources and sharing data to external partners via APIs
• Collaborating with analysts and stakeholders to understand data requirements and deliver solutions

Requirements:

• 8 years of experience doing quantitative and operational analyses in a customer support/service, e-commerce, or order management organization
• Strong data engineering skills: experience designing and building production-grade data pipelines, data models, and ETL/ELT processes at scale
• Proficiency in SQL (complex queries, performance tuning, window functions) and at least one programming language (Python preferred)
• Experience with data warehousing platforms (e.g., Hive, Presto, Spark, Snowflake, or BigQuery)
• Experience with workflow orchestration tools (e.g., Airflow, Dataswarm, or equivalent)
• Experience with data visualization tools such as Tableau, Looker, or equivalent for creating self-service dashboards
• Demonstrated experience with data quality frameworks, data governance, and data modeling best practices (dimensional modeling, star/snowflake schemas)
• Hands-on experience with AI/ML enablement—such as building feature pipelines, working with LLM-based tools, or implementing AI-assisted analytics workflows
• Analytics experience manipulating large datasets to formulate insights and drive solutions
• Track record of operating independently, managing ambiguity, and delivering results
• Strong communication skills with experience articulating issues to both technical and non-technical audiences
• Cross-functional experience, including leading or influencing change through data-driven insights
• Bachelor's degree in Computer Science or related field
• Experience with generative AI tools and frameworks (e.g., prompt engineering, RAG architectures, LLM APIs, or AI agent workflows)
• Familiarity with version control (Git), CI/CD for data pipelines, and infrastructure-as-code practices
• Experience with streaming data technologies (e.g., Kafka, Spark Streaming)
• Knowledge of metadata management, data cataloging, and data lineage tools
• Background and knowledge of CX/CS operations and metrics
• Familiarity with customer support platforms (e.g., Salesforce)
• Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics)
• Experience with scripting for automation (Python, Bash) and building internal tooling
• Familiarity with agile development methodologies
• Experience working in the high-volume consumer electronics industry
• Experience working with operations functions, preferably in the customer experience or customer support operations space