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# Data Engineer

- **Company:** INCEED
- **Location:** Houston, TX, United States
- **Salary:** $166,400.0 - $208,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Communications Protocols, Databases, Extract Transform Load (ETL), Data Systems, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), SQL Databases, Data Streaming, Data Processing, Freeform SQL, Data Ingestion, Storage Technologies, Apache Kafka, Spark Streaming, Data Management, Dynamic Data, Stream Processing, Data Pipelines, Docker
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=64e934a15ab954f7

## About the Role

Do you have experience in SQL?, * Proficiency in SQL and time-series databases

 * Experience with stream processing tools like Kafka or Spark Streaming
 * Strong skills in Python, Go, or Java
 * Experience with Docker and Kubernetes
 * Knowledge of cloud platforms such as AWS or Azure

Nice to Have Skills & Experience:

 * Experience in Oil & Gas or Industrial Automation
 * Familiarity with SCADA systems
 * Understanding of industrial communication protocols

## Description

This is an exciting opportunity to be part of a dynamic data platform team, where you'll collaborate with senior developers to build and manage platforms that support critical applications. You'll be responsible for designing and optimizing data systems, ensuring seamless data flow, and contributing to the success of innovative projects. Join a team that values quick problem-solving and platform development experience, and be part of a company that is at the forefront of technology and data management!, * Design and implement time-series databases for high-ingestion workloads

 * Develop and optimize complex SQL queries
 * Manage ETL/ELT pipelines for data processing
 * Ensure scalability and performance of data platforms
 * Monitor and maintain data platform infrastructure
 * Collaborate with application teams to meet data requirements
 * Implement storage architecture and partitioning strategies
 * Design REST or gRPC APIs for data ingestion
 * Utilize cloud platforms for data solutions


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