> Markdown version of [/jobs/ext/1442855-big-data-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1442855-big-data-ml-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). --- # Big Data ML Engineer - **Company:** Spectraforce - **Location:** Plano, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data Governance, Data Systems, Distributed Data Store, Apache Hadoop, Python (Programming Language), Key Management, DataOps, Scaled Agile Framework, SQL Databases, Workflow Management Systems, Apache Spark, Electronic Medical Records, Low Latency, Apache Kafka, Data Pipelines - **Published:** July 25, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87840374/1 ## About the Role 4+ years of experience building or operating data pipeline and orchestration systems 4+ years of data or application engineering experience, including Java, Python and SQL 4+ years of experience building and operating real-time or event-driven data systems 4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent) 4+ years of experience with cloud data warehousing platforms at scale 4+ years of experience with cloud platforms (AWS, Azure, or GCP) 3+ years of experience with pipeline scheduling and workflow orchestration tools 2+ years of experience with secure secrets management and credential handling in production systems 2+ years of experience working in Agile engineering environments Familiarity with data observability practices - monitoring, alerting, SLA tracking, and data quality frameworks Experience in financial services or other regulated, compliance-driven industries ## Description Job Description: Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency Collaborate with Agile teams to architect end-to-end data solutions - from ingestion and orchestration through to event streaming and downstream delivery ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) - [C++ in constrained environments](https://www.wearedevelopers.com/videos/441-c-in-constrained-environments) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)