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# Senior Data Engineer

- **Company:** CTP CONSULTING CORPORATION
- **Location:** Glendale, CA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Big Data, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Workflow Management Systems, Data Processing, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Data Lakes, Kubernetes, Integration Frameworks, Data Management, Data Pipelines, Databricks
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d08212df53a9a52f

## About the Role

Do you have experience in Scalable systems?, * 7+ years of experience in data engineering, including large-scale data pipeline development

 * Strong programming skills in Python, Java, or Scala
 * Advanced SQL expertise and experience with complex data modeling concepts
 * Hands-on experience with workflow orchestration tools such as Airflow or equivalent
 * Experience with Databricks/Snowflake, or comparable modern cloud data platforms / data warehouse technologies
 * Strong understanding of distributed systems, OLTP vs. OLAP architectures, and scalable data processing
 * Experience working within cloud environments, preferably AWS

Preferred / Nice to Have

 * Exposure to Kubernetes or containerized deployment environments
 * Experience with data ingestion/integration tools such as Fivetran, Airbyte, or Matillion
 * Background in distributed data processing, data platform engineering, or enterprise data services
 * Familiarity with lakehouse architectures and modern cloud-native data ecosystems, * Data Engineering: 5 years (Required)

## Description

* Design, build, and maintain scalable end-to-end data pipelines supporting enterprise data initiatives
 * Contribute to platform capabilities related to data governance, lineage, privacy, and observability
 * Work within a modern cloud data ecosystem leveraging tools such as Airflow, Spark, Databricks, Delta Lake, Snowflake, or similar technologies
 * Collaborate cross-functionally with product, engineering, analytics, and business stakeholders
 * Establish and promote engineering standards, best practices, and technical documentation
 * Ensure data quality, performance, scalability, and SLA adherence across datasets and pipelines
 * Participate in Agile development processes and support CI/CD and automation improvements
 * Partner with stakeholders to deliver scalable data solutions aligned with evolving business requirements


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