• Own and scale the core data platform for reporting, attribution, product analytics, reconciliation, AI workflows, and decision-making. • Turn fragmented raw data into reliable, reusable business intelligence layers. • Manage BigQuery warehouse architecture and dbt models. • Oversee Airbyte pipelines and tracking infrastructure. • Apply orchestration tools for recurring workflows. • Monitor pipeline reliability and address breakages. • Build reliable business data models for trusted sources across various teams. • Improve data quality and reduce manual work through governance and automation. • Enable AI workflows and new integrations with structured data. • Collaborate with cross-functional partners such as Product, Marketing, Finance, Operations, Analytics, and Engineering.

Role Description - Apply fluency in SQL to analyze and model complex linear viewership data. - Develop data infrastructure processing and serving software, primarily written in Python. - Build ETL/ELT streaming and batch pipelines on big data platforms and frameworks, including Snowflake, Spark, and Databricks. - Orchestrate data engineering pipelines with Airflow. - Apply fluency with modern software development environments and tooling, e.g., Git, Jira, CircleCI (or similar CI/CD), Bazel. - Collaborate with peers within her immediate team and across the larger engineering organization on activities that include: - Distilling engineering designs from product requirements and data science. - Development of work plans. - Implementation, testing, productization, monitoring, and maintenance of big data infrastructure. Telecommuting is permitted. Qualifications - Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related field. - 5 years of experience with Data Engineering. - 5 years of experience developing Production-Grade Software. - 5 years of experience with SQL. - 5 years of experience with Data Pipeline Orchestration. - 3 years of experience with Modern Engineering Stack/Tools. Requirements - Must have the authority to work permanently in the U.S. Benefits - 40 hours/week. - Wage range $184,558.00 - $208,000.00 per year. Company Description Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref #65633) for consideration.

Role Description Glint Tech Solutions is hiring a Senior Data Engineer for a Remote role! We are partnering with an enterprise data organization to find a skilled Senior Data Engineer. If you have strong hands-on experience with cloud data platforms, ETL pipelines, and modern data architecture — this remote opportunity is for you! Qualifications - Bachelor's degree + 5+ years in technology or related field - 3+ years hands-on experience with Talend, AWS Glue, and Lambda - Strong expertise in cloud data platforms — Redshift, Snowflake, and CDW - Experience working in cloud or hybrid environments - Strong collaboration skills across business, product, and analytics teams Requirements - Analyze project requirements and support new and existing data systems - Identify required datasets and align to architecture and solution design - Navigate enterprise data landscapes and legacy systems - Partner with Martech, business, product, and analytics teams - Monitor implementations and escalate risks, blockers, and status updates - Deliver data solutions for new business initiatives Benefits - Strong AWS cloud experience - Martech ecosystem experience - Travel/hospitality industry background - Customer-facing experience

• Transform raw data into valuable insights for data-driven decisions • Collaborate closely with Data Hub and DataOps teams to manage, optimize, and scale data platform • Design robust data architectures and build efficient ingestion pipelines • Ensure data availability across the organization • Integrate data solutions into business processes while implementing automation and monitoring methods • Conduct thorough testing and documentation of data availability