Data Engineer
We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
<p>• At least 3 years of experience in a Data Engineer or similar role.</p><p>• Proficiency in cloud platforms such as Google Cloud Platform (BigQuery, Cloud Data Fusion, Cloud Storage) and Amazon Web Services (S3, Redshift).</p><p>• Strong programming skills in Python and familiarity with Java.</p><p>• Experience working with NoSQL databases like MongoDB, DynamoDB, Hive, or Presto.</p><p>• Hands-on experience with ETL processes and tools such as Talend and Informatica.</p><p>• Expertise in data visualization tools like Tableau and Power BI.</p><p>• Knowledge of real-time streaming technologies such as Apache Kafka and Apache Spark.</p><p>• Ability to lead projects independently, delivering high-quality results on time.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now</p>
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<p>Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p>
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- Los Angeles, CA
- onsite
- Permanent
-
100000.00 - 130000.00 USD / Yearly
- We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
- 2025-12-05T21:08:37Z