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 DISH Technology team challenges the status quo and reimagines capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
DISH, an EchoStar company, is seeking a highly skilled and experienced Data Engineering & Analytics Manager to lead our dynamic Data Solutions team comprising data engineers, data analysts, software developers, machine learning / AI engineers, and AWS infrastructure / DevOps specialists. This role requires a strategic leader who can bridge technical excellence with business objectives while fostering innovation in data-driven solutions that enhance customer value and organizational decision-making.
Key Responsibilities :
The essential functions of this job position include, but are not limited to, the following tasks and duties an employee encounters while performing this job. Reasonable accommodations may be made to enable individuals to perform the essential functions of this job, in accordance with the ADA and applicable state / local law.
- Lead and manage a team of diverse engineers, including setting performance expectations, establishing benchmarks, and conducting regular performance evaluations. Mentor and coach the team members in achieving team as well as personal growth goals
- Identify and develop talent within the engineering team including development plans, goal plans, and succession planning
- Assist in staffing and recruitment efforts within the engineering team by attracting and retaining top talent
- Assigning tasks and responsibilities to team members, ensuring that the right skills are matched with the right projects
- Foster a collaborative and high-performance culture within the engineering team
- Oversee multiple engineering projects simultaneously, ensuring they are completed on time and within budget
- Define the scope of engineering projects, identify key performance indicators (KPIs), and establish success criteria
- Collaborate with product managers, designers, and other stakeholders to define project requirements, objectives, and timelines. Ensure that engineering efforts align with market and customer needs, that resources are effectively managed, and foster open communication
- Address conflicts and challenges within the engineering team or with other stakeholders, and find constructive solutions
- Ensure that engineering work is well-documented, including design documents, technical specifications, and project reports
- Contribute to the development of the technical strategy and roadmaps for the Data Solutions team
- Provide technical guidance and mentorship to engineers, assisting in solving complex engineering challenges
- Identify and mitigate risks and technical challenges that could impact project timelines or outcomes
- Establish and maintain quality assurance processes and standards for engineering projects. Conduct quality audits and inspections to ensure high-quality work
- Promote a culture of creative problem-solving within the team
- Managing the organization's intellectual property, including patents and copyrights, and ensuring that engineering work complies with IP laws
- Drive efficiencies and work on continuous improvements in project quality through automation and other innovative ideas
- Ensure compliance with company engineering standards, policies, and procedures
- Actively and consistently support all efforts to simplify and enhance the customer experience
- Conduct team meetings as well as one on ones with developers, senior management and peers as needed
Other essential job functions may be assigned by DISH in its discretion and are subject to change at any time.
Skills, Experience and Requirements
Education and Experience :
Bachelor's Degree in Computer Science or related field from an accredited institution. A master's degree is a plus5-7 years of engineering experience, including 2-3 years in a leadership capacity or managerial roleProven track record of successfully managing engineering teams and delivering projects on time and within budgetExperience managing multiple engineering projects concurrentlyExperience with data visualization tools (Tableau, Power BI, Grafana)Experience with both OLTP and OLAP systemsSkills and Qualifications :
Strong leadership and team management skillsAbility to inspire and motivate engineering teamsStrong ability to collaborate with cross functional teamsProficiency in project management methodologies and toolsAbility to resolve conflicts within the team and maintain a positive work environmentExcellent communication skills, both verbal and written, with the ability to convey technical information and project updates clearly and persuasivelyExperience with batch and real-time data processing frameworks (Apache Spark, Kafka, Kinesis)Knowledge of data warehousing concepts and dimensional modeling techniquesUnderstanding of data lake architecture and modern data stack componentsProficiency with AWS data services : S3, Redshift, Athena, Glue, EMR, Lambda, KinesisUnderstanding of cloud infrastructure concepts : VPCs, IAM, security groups, networkingKnowledge of containerization technologies (Docker, Kubernetes, ECS)Familiarity with Infrastructure as Code tools (Terraform, CloudFormation)Proficiency in AWS cloud technologiesProficiency in observability tools for metrics, logs, tracing (OpenTelemetry framework preferred)Expertise in Containerization / Orchestration tools and Docker / KubernetesKnowledge of statistical analysis concepts and data science methodologiesUnderstanding of ML / AI model development lifecycle and MLOps practicesFamiliarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Strong SQL skills and understanding of relational database optimizationKnowledge of NoSQL databases (DynamoDB, MongoDB, Cassandra)Understanding of database performance tuning and indexing strategiesUnderstanding of data privacy regulations (GDPR, CCPA) and compliance requirementsKnowledge of data security best practices and encryption methodsFamiliarity with data quality frameworks and monitoring toolsUnderstanding of data lineage and metadata management conceptsTo perform this job successfully, an individual must be able to perform all above duties, possess all listed skills, and be able to perform each essential job function satisfactorily, with or without a reasonable accommodation. The requirements listed above are representative of the knowledge, skill, and / or ability generally required to successfully perform the essential job functions.
Visa sponsorship not available for this role
Candidates must be willing to participate in at least one in-person on-site interview.
Salary Ranges 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; all benefits can be viewed here : .
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.