Java Tech Lead

UST•Alpharetta, GA

54d•$82,000 - $123,000

About The Position

Java Tech Lead Lead II - Software 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. You Are: We are seeking an experienced Tech Lead with strong hands-on expertise in data engineering and large-scale data processing applications. The ideal candidate will have extensive experience in Java and Python development, combined with proven leadership in guiding teams to deliver efficient and scalable data solutions. The opportunity: Build and optimize data processing applications using Java and Python. Lead a team of developers in data engineering projects, providing technical guidance and oversight. Design, develop, and optimize Spark-based solutions for large-scale data tasks. Oversee the development of efficient, reliable, and high-performing data pipelines. Manage and support the implementation of Hadoop, HDFS, and other cloud Big Data technologies. Ensure best practices in coding, testing, and deployment for all data engineering initiatives. 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: 10+ years of overall professional experience in software and data engineering. Hands-on experience in building and optimizing data processing applications using Java and Python. Deep understanding of Apache Spark for large-scale data processing and optimization. Comprehensive knowledge of Hadoop, HDFS, and cloud-based Big Data technologies. Proven experience in leading and mentoring teams of developers to deliver end-to-end data solutions.

Requirements

10+ years of overall professional experience in software and data engineering.
Hands-on experience in building and optimizing data processing applications using Java and Python.
Deep understanding of Apache Spark for large-scale data processing and optimization.
Comprehensive knowledge of Hadoop, HDFS, and cloud-based Big Data technologies.
Proven experience in leading and mentoring teams of developers to deliver end-to-end data solutions.

Responsibilities

Build and optimize data processing applications using Java and Python.
Lead a team of developers in data engineering projects, providing technical guidance and oversight.
Design, develop, and optimize Spark-based solutions for large-scale data tasks.
Oversee the development of efficient, reliable, and high-performing data pipelines.
Manage and support the implementation of Hadoop, HDFS, and other cloud Big Data technologies.
Ensure best practices in coding, testing, and deployment for all data engineering initiatives.

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.