Data Engineer 3-1595

Overview Join a data engineering team supporting Comcast Advertising’s cloud-based data platform. You will design, build, and maintain data pipelines and analytics solutions in AWS, enabling reliable data delivery for measurement, attribution, and business decisions. You’ll collaborate with cross-functional teams to ensure data quality, scalability, and cost efficiency in a SAFe-enabled environment. This remote-friendly role offers meaningful impact on large-scale multiscreen advertising workflows. Compensation / Benefitsremote work (100% eligible) ResponsibilitiesDevelop and maintain data pipelines and ETL processes using Python, PySpark, and Spark in an AWS environment (S3, RDS, Lambda, CloudWatch, Secrets Manager)Perform SQL operations (CRUD, joins, aggregations, window functions) across DDL/DML/DCL/DQL/TCLCreate and consume APIs; contribute to software development using Dynamics365/Salesforce, MuleSoft, Windows Server, and GitHub CoPilotManage code and deployments with GitHub, Concourse CI/CD in a DevOps setup; track work in JIRA, Aha, ServiceNow, and ConfluenceSupport production data applications with proactive monitoring and data quality checks (Monte Carlo) and ensure SLA adherenceDesign and deliver data solutions including requirements gathering, testing, and technical documentation; coordinate data anomalies and pipeline changes across teamsBuild and optimize data platforms and infrastructure with Terraform; support data domains: Measurement & Attribution, Customer, Audience, and Finance Key requirementsBachelor’s degree in Computer Science, Engineering, or related field2 years of experience in data engineering in an AWS cloud environment with S3, RDS, Lambda, CloudWatch, Secrets ManagerExperience with SQL (DDL/DML/DCL/DQL/TCL) and data manipulation in MS Office tools; API development and consumptionETL development using Python, PySpark, and Spark; version control with GitHub; task management with JIRA; feature management with Aha; documentation with ConfluenceExperience in a DevOps environment; Terraform for infrastructure; CI/CD with Concourse; SAFe experienceExperience with MS SQL Server and SSIS; knowledge of CRM systems (Dynamics365 or Salesforce) and API management (MuleSoft); GitHub CoPilot usageFamiliarity with monitoring, data quality, and cost optimization practicesAWS (S3, RDS, Lambda, CloudWatch, Secrets Manager)SQL (DDL, DML, DCL, DQL, TCL)Python, PySpark, SparkGitHubJIRAAha