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U
UST
SeniorData Engineer
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Based on Arkansas data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$106,923 / year median in Arkansas
+14% projected growth
Job Description
SeniorData Engineer UST $72,000-$108,000 life insurance, vision insurance, flexible benefit account, paid holidays, sick time, 401(k), retirement plan United States, Arkansas, Bentonville Aug 20, 2026 Role description Senior Data Engineer Lead I -
Data Engineering Who We Are:
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. Visit us at UST.com.You Are:
UST is searching for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.The opportunity:
- As a Senior Data Engineer, you will Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
- Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
- Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
- Build data ingestion frameworks to collect data from multiple sources including databases, APIs, files, and streaming systems.
- Design and implement real-time streaming solutions using Apache Kafka and Apache Flink.
- Develop event-driven architectures for low-latency data processing and analytics.
- Monitor and optimize streaming applications for throughput, scalability, and reliability.
- Manage Kafka topics, partitions, consumer groups, and stream processing pipelines.
Performance Tuning:
Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectivenessData Quality:
Implement data quality checks, monitoring, and ing systems to ensure data accuracy and consistency. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.What you need:
- Experience range : 8-10 Years
Programming:
Strong proficiency in Python, SQL, and potentially Scala/Java.Big Data:
Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).Streaming:
Experience with messaging queues like Apache Kafka, or Pub/Sub.Cloud:
Familiarity with GCP, Azure data services.Databases:
Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.Tools:
Experience with Airflow, Databricks, Docker, Kubernetes is a plus.Experience and Skills:
- Minimum 8 years overall
- GCP - 4 + years of recent GCP experience
Qualification:
- Bachelor's Degree in computer science or equivalent experience Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience.