Data Engineer II

Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Wireless Technology team is transforming the future of connectivity by building and enhancing the country's first virtualized, standalone 5G wireless network from scratch. Our network is free of the limitations of the past, and flexible to satisfy all the social, economic and transformative needs of the changing world.
Job Duties and Responsibilities
A Data Engineer II with Boost Mobile will be directly working in environments supporting automated deployment and management on a cloud native environment. This role will work directly towards collecting, extracting, transforming and making available large amounts of data for observability, analysis, and increasing availability.
Key Responsibilities:

• Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs
• Acquire big data input from numerous partners; key technologies may include Python, Airflow, Prometheus, and Kafka
• Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees Key technologies may include Spark, Kinesis, Lambda
• Build a CI/CD pipeline for our data software to ensure we keep quality high and time to market low; key technologies may include Gitlab

Skills, Experience and Requirements
Education and Experience:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical degree; four years related experience; or equivalent combination of education and experience
• 2 or more years experience in data streaming technologies, such as Kafka
• 2 or more years experience using ETL (Extract, Transform, and Load) concepts
• Experience with querying and designing databases using one or more of the following: MySQL, MS SQL, Oracle SQL, or other professional database system
• Experience in Cloud Native tools, such as Kubernetes and Docker
• Experience with using the R statistical computing language
• Experience with Agile at Scale, SAFe, and Lean Systems Engineering
• 4 or more years experience in programming using one or more of the following: Java, C++, Perl, Python, or advanced Shell scripting
• 3 or more years of experience in implementing data-driven solutions using tools such as Hadoop, Impala, Hive, NiFi, Athena, Redshift, BigTable, or Airflow
• 2 or more years experience in machine learning and statistical modeling

Skills and Qualifications:

• Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions
• Ability to assist in documenting requirements as well as resolve conflicts or ambiguities

Salary Ranges
Compensation: $83,160.00/Year - $136,625.00/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; all benefits can be viewed here: DISH Benefits .
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.