We are looking for Backend Engineers to join our Security team in building data security and privacy infrastructure that seamlessly and transparently applies industry-leading technologies to every TikTok employee's day-to-day workflow.

Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.

The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.

Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.

Experience with Spark, Databricks, Airflow and related Big Data technologies. The Marketing Operations and Engineering team is part of Growth Marketing and Insights (GMI) organization and is responsible for the data architecture, transformation, and engineering needs of the entire organization.

Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Minimum 5 years of experience as a Data Engineer, with a focus on Snowflake, IDMC, and Airflow. We are seeking an accomplished Senior Data Engineer to join our Data Engineering & Data Warehouse team.

Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) 14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.

Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations.

Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.

Experience with performance management, employee relations and data analytics/reporting. Analytical and data management skills with experience translating data into action planning.

Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.

Experience with one or more batch and real time data frameworks such as Apache Spark, Flink, AWS Glue, AWS EMR, Kinesis, Airflow, DBT etc. Experience with one or more SQL and NoSQL data stores such as S3 (Parquet, Iceberg), Redshift, Snowflake, Dynamodb, Postgres etc.

LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.