Senior Data Engineer

UST; Bentonville (AR); On-site; USD 72,000 - 108,000; Full time

Benefits offered by this job

Paid time off

Paid holidays

401(k) with employer matching

Health, dental, and vision insurance

Job summary

UST is seeking a Senior Data Engineer to lead data engineering initiatives in Bentonville, AR. You will design, develop, and maintain ETL/ELT pipelines using Spark and streaming tech to ingest, transform, and deliver data for analytics.

The role requires 8–10 years of experience, strong Python/SQL (Scala/Java a plus), and cloud experience with GCP/Azure. You will build data lakes, data warehouses (BigQuery), and streaming platforms, while ensuring data quality and low latency processing.

Qualifications

• 8–10 years of experience in data engineering or similar roles.
• Strong proficiency in Python, SQL, and ideally Scala/Java.
• Expertise with Apache Spark (Spark SQL, DataFrames, Streaming).
• Experience with Kafka or public/ Pub/Sub messaging systems.
• Cloud experience with GCP and/or Azure data services.
• Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
• Familiarity with Airflow, Databricks, Docker, Kubernetes.

Responsibilities

• 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 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 ingest systems to ensure data accuracy and consistency.

Skills

Spark

PySpark

SQL

Scala

Kafka

Flink

GCP

Azure

Snowflake

Redshift

Airflow

Databricks

Docker

Kubernetes

Education

Bachelor's Degree in computer science or equivalent experience

Tools

Docker

Kubernetes

Job description

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.

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-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.

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. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Bentonville, Arkansas

Compensation Range

$72,000-$108,000

Benefits

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.

What We Believe

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.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honor our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

#UST

Skills

Apache Spark, PySpark, SQL, Scala