> Markdown version of [/jobs/ext/3699853-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3699853-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Interactive Process Technology - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $125,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Databases, Information Engineering, Data Governance, Data Visualization, Decision Support Systems, Apache Hadoop, Python (Programming Language), NoSQL, SQL Databases, Data Processing, Google Cloud, Data Storage Technologies, Apache Spark, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9166917/senior-data-engineer ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, or related field * 5+ years of experience in data engineering * Proficiency in programming languages such as Python, Java, or Scala * Experience with big data technologies (Hadoop, Spark, Kafka, etc.) * Strong understanding of database systems (SQL, NoSQL) * Excellent problem-solving and analytical skills * Experience with cloud platforms (AWS, Azure, GCP) is a plus Preferred Qualifications: * Experience with machine learning pipelines * Knowledge of data governance and compliance standards * Familiarity with data visualization tools ## Description We are seeking a highly experienced Senior Data Engineer to join our dynamic team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure., * Develop and maintain data pipelines for big data processing and analytics * Design and implement data storage solutions * Ensure data quality and integrity across all systems * Collaborate with data scientists and analysts to support data-driven decision making * Optimize and improve data processing performance * Implement data security and compliance measures