What are the responsibilities and job description for the Big Data Engineer position at Boost Mobile?
Company Summary
EchoStar builds solutions that help families and communities stay connected. We’ll launch your career and empower you to change lives.
Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties And Responsibilities
As a Big Data Engineer on our 5G Network Analytics team, you will be responsible for designing, building and managing data pipelines specifically tailored for artificial intelligence (AI) models.
Priorities include ensuring high-quality data is readily available for training and deployment, data cleaning, transformation, integration, quality checks, and collaborating with AI engineers to optimize model performance.
Key Responsibilities
Education and Experience:
Compensation: $96,250.00/Year - $137,500.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
EchoStar builds solutions that help families and communities stay connected. We’ll launch your career and empower you to change lives.
Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties And Responsibilities
As a Big Data Engineer on our 5G Network Analytics team, you will be responsible for designing, building and managing data pipelines specifically tailored for artificial intelligence (AI) models.
Priorities include ensuring high-quality data is readily available for training and deployment, data cleaning, transformation, integration, quality checks, and collaborating with AI engineers to optimize model performance.
Key Responsibilities
- Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources, optimizing for efficient AI model training
- Gather and understand data requirements, create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting
- Support data and cloud transformation initiatives
- Support our software engineers and data scientists
- Understand the latest technologies in a rapidly innovative marketplace
- Ability to work independently and with a team with all stakeholders across the organization to deliver enhanced functionality
Education and Experience:
- Bachelor's degree in computer science, or similar technical field
- Minimum 5 years of experience in Big Data Engineering/Data Analysis
- Proficiency in Python, SQL and Apache Spark
- AWS services such as EMR, Glue (serverless architecture), S3, Athena, IAM, Lambda and CloudWatch
- Core Spark, Spark Streaming, DataFrame API, Data Set API, RDD APIs & Spark SQL programming dealing with processing terabytes of data
- Advanced SQL using Hive/Impala framework including SQL performance tuning
- Expertise in Hadoop, and other distributed computing frameworks
- ElasticSearch (OpenSearch) and Kibana Dashboards
- Resource management frameworks such as Yarn or Mesos.
- Physical table design in Big Data environment
- External job schedulers such as autosys, AWS data pipeline, airflow etc.
- Experience working in Key/Value data store such as Hbase
Compensation: $96,250.00/Year - $137,500.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Salary : $96,250 - $137,500
