SeniorData Engineer

UST Inc
Bentonville, AR, United States
15 days ago
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Role details

Contract type
Temporary contract
Employment type
Part-time / full-time
Experience level
Expert
Experience required
4 years minimum
Compensation
$72,000.0 - $108,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow Big Data BigQuery Cloud Computing Computer Programming Databases Data Architecture Extract Transform Load (ETL) Data Warehousing Apache Hive
+23 more
Python (Programming Language) NoSQL Performance Tuning SQL Databases Data Streaming Data Processing Data Ingestion Azure Data Factory Snowflake Apache Spark Event Driven Architecture Data Lakes Pyspark Kubernetes Information Technology Apache Flink Real Time Data Apache Kafka Video Streaming Stream Processing Data Pipelines Docker Databricks

Job description

  • 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-effectiveness

  • Data 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.

Requirements

  • 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

Benefits & conditions

$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, 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: $ 72,000.00 to 108,000.00 per year

About the company

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., 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., 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.

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