> Markdown version of [/jobs/ext/3596273-software-data-engineer](https://www.wearedevelopers.com/jobs/ext/3596273-software-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). --- # Software / Data Engineer - **Company:** Indotronix Avani Group - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Data Storage Technologies, Apache Spark, Database Performance, Containerization, Kubernetes, Data Management, Data Pipelines, Docker, Service Stack - **Published:** October 6, 2026 - **Apply:** https://candidateportal.ceipal.com/job-details/GuiKENOrTAwH19QOcaQoxB4KMrQULR4xgfzjYVBfqSo ## About the Role 4-6 years professional experience in data engineering - Expertise in building and maintaining data pipelines - Strong command of SQL, Python - Proficient with cloud platforms (e.g., AWS, Azure, GCP) - Experience with data modeling and warehousing [Preferred Skills] - Familiarity with big data tools (e.g., Spark, Hadoop) - Exposure to containerization (e.g., Docker, Kubernetes) - Experience with CI/CD pipelines - Understanding of machine learning fundamentals ## Description Job Summary: Software / Data Engineer (Contract) - United States, Join a dynamic, high-impact team as a Software / Data Engineer supporting mission-critical projects for a global organization. This contract-based position offers the chance to deliver innovative data solutions while expanding your expertise in a collaborative and forward-thinking environment., Design, develop, and maintain scalable data pipelines and ETL processes - Optimize database performance and data storage solutions - Collaborate with cross-functional teams to implement robust data architectures - Ensure data quality and integrity across multiple systems - Analyze large datasets to extract actionable insights and support business objectives - Automate data workflows and support continuous integration