DIRECTV · 19 hours ago
Senior Data Engineer
United States
Full-time
Remote
Mid, Senior Level
$122K/yr - $222K/yr
3+ years expDIRECTV is seeking a Senior Data Engineer responsible for driving the design, development, and implementation of complex data models and analytics solutions. This role involves collaborating with various teams to establish data governance frameworks and developing sophisticated data interfaces and retention models.
Digital EntertainmentFilmMedia and EntertainmentSportsTVTV Production
Responsibilities
Design and develop scalable data warehousing solutions, building ETL/ELT pipelines in Big Data environments (cloud, on-prem, hybrid)
Lead technical discussions on data architecture strategies and methodology approaches
Create and optimize data pipelines for structured and unstructured data processing
Develop and maintain data lineage documentation and technical specifications
Evaluate and recommend new data technologies and tools to enhance platform capabilities
Perform data analysis and profiling, meet with application SME's to understand source data model and translate it to Dimensional model
Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions
Collaborate with CDO Policy and Security teams to establish comprehensive data governance policies
Work closely with Legal teams to ensure compliance with data privacy regulations and industry standards
Design and implement data retention models with appropriate synthesis and anonymization techniques
Develop secure data interfaces that protect sensitive information while enabling analytics
Create and maintain data classification frameworks and access control mechanisms
Gather, mine, and process large-scale structured and unstructured datasets using advanced techniques
Implement best practices for data ingestion, validation, normalization, and cleaning processes
Develop automated data quality monitoring and alerting systems
Create complex data transformations and aggregations to support business intelligence needs
Optimize data processing workflows for performance and scalability
Lead data engineering initiatives across multiple teams and organizational units
Serve as technical subject matter expert for data-related projects and strategic decisions
Coordinate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
Participate in architecture review boards and technical design sessions
Drive adoption of data engineering best practices across the organization
Provide regular guidance and mentoring to junior data engineers and team members
Conduct technical training sessions on data engineering tools, techniques, and methodologies
Review code and technical designs to ensure quality and adherence to standards
Contribute to the development of data engineering standards and documentation
Qualification
Required
3 – 5 years of experience in data engineering and data architecture
Advanced expertise in data engineering with proven track record of delivering complex data solutions
Extensive experience with data policy development, security frameworks, and compliance requirements
Strong background in implementing data security policies, like encryption/decryption, anonymization, and other privacy-preserving techniques
Proficiency in Python, SQL, Scala for data processing
Hands-on experience with Snowflake, Databricks, AWS & Azure, or GCP data services
Advanced knowledge of relational databases and data mesh architecture
Expertise in dimensional modeling, data vault, and other data modeling methodologies; hands on experience on data modeling tools such as Erwin, SQLDBM etc
Experience with modern data integration tools and frameworks
Experience with Hadoop, Spark, Kafka, or similar distributed computing platforms
Experience with modern data auditing/observability tools such Monte Carlo, etc
Experience with reporting tools such as PowerBI and Tableau
Deep understanding of data governance, privacy regulations (GDPR, CCPA), and compliance frameworks
Experience with data anonymization techniques, differential privacy, and synthetic data generation
Knowledge of data retention policies and automated data lifecycle management
Familiarity with data cataloging tools and metadata management systems
Ability to lead complex technical initiatives and drive architectural decisions
Advanced analytical skills to resolve sophisticated data engineering challenges
Strong ability to translate technical concepts for non-technical stakeholders
Proven experience working effectively with cross-functional teams
Demonstrated ability to guide and develop junior team members
Preferred
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or related field
Industry certifications in cloud platforms or data engineering tools
Experience in regulated industries (financial services, healthcare, telecommunications)
Knowledge of machine learning operations (MLOps) and data science workflows
Experience with real-time data processing and streaming analytics
Company
DIRECTV
DIRECTV is an American digital entertainment services provider delivering sports, news, movies, family and local programming channels.
10001+ employees
H1B Sponsorship
DIRECTV has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (66)
2024 (52)
2023 (30)
2022 (82)
2021 (31)
Funding
Current Stage
Public CompanyTotal Funding
unknown2024-09-30Acquired
2013-08-29IPO
Leadership Team
Drew Groner
Senior Vice President, Head of Sales & Marketing
John Manganilla
Senior Director of Product Development, Video Content
Recent News
PCMag.com - Technology Product Reviews, News, Prices & Tips
2025-12-17
TV Technology
2025-12-11
The Hollywood Reporter
2025-12-10
Company data provided by crunchbase