Top Senior Level Data Engineer Jobs in Dallas, TX

Responsible for streamlining and automating global ESG data collection, analysis, and reporting. Collaborate on technology solutions and manage relationships across Blackstone Real Estate network. Develop QA/QC processes, respond to information requests, and provide industry insight on sustainability. Bachelor's degree and 5 years of business experience required.

Seeking a Manager of Process Management with a focus on data and risk management. Responsibilities include data registration and remediation, compliance requirements, SQL analysis, risk assessments, and communication with internal partners. Requires Bachelor's degree and 2 years of experience in process or risk management and SQL.

GameChanger is hiring a Senior Analytics Engineer to architect and optimize data models for marketing and advertising. Responsibilities include data transformation, automation, and collaboration with various teams. Ideal candidates have 5+ years of experience in Marketing/Ads data space, proficiency in SQL and Python, and hands-on experience with various marketing technologies.

Mediavine is seeking an Engineering Manager to lead the data engineering efforts in the Ad Tech Industry. This role involves managing a team of data engineers and analytics engineers to drive technical and strategic projects for Mediavine's growth.

Senior Data Scientist role at Sensor Tower focusing on developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert for digital advertising. Requires 4 years of experience in ad-tech/mar-tech industry and expertise in Python, Ruby, AWS, and statistical visualization tools.

At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.

Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio. Responsibilities include collaborating with subject matter experts, designing training materials, staying updated on data and AI technologies, and managing budgets for training programs.