Data Engineer
Irving, TX, United States
USD 125K-192K (estimate) Entry-level Full Time
Tasks
- Automate deployment and monitoring of data systems
- Code test deploy monitor and troubleshoot data processing systems
- Collaborate on end-to-end data solutions
- Create and maintain ETL processes
- Define data engineering processes and procedures
- Evaluate batch and streaming data engineering technologies
- Extract features for machine learning and analytics
- Ingest data from external sources and internal systems
- Research and experiment with data pipelines
Perks/Benefits
- 401k matching
- Bonding Leave
- Community service pay
- Flexible-hybrid work
- Nine company holidays
- Training
- Tuition assistance
Skills/Tech-stack
ADLS | AWS | Apache Kafka | Apache Spark | Artifactory | As-a-Service | Azure | Azure DevOps | Cassandra | Ceph | Cloud Storage | Cloud platform | Continuous Deployment | Continuous integration | CosmosDB | Data Lake | Data Lake Storage | Data Lake Storage Gen2 | Data Lakehouse | ETL | Flume | GDPR | Google Cloud | Google Cloud Platform | Google Cloud Storage | Gradle | HDFS | Hadoop | Hybrid Cloud | Information Governance | Infrastructure as a Service | JSON | Maven | Minio | MongoDB | NoSQL | Object storage | Oracle | Parquet | Platform as a Service | Privacy Compliance | Python | REST APIs | Redis | S3 | SQL | SequenceFile | Software as a Service | SonarQube | Webpack
Education
Roles
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