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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer III - **Company:** HTC Global Services, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Business Analytics Applications, Application Testing, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Software Design Patterns, Expert Systems, Data Flow Control, Python (Programming Language), Software Engineering, SQL Databases, Unstructured Data, Google Cloud, Data Ingestion, Infrastructure as Code (IaC), Data Lakes, Google Cloud Functions, Apache Kafka, Data Management, Data Pipelines - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/911b8ec1-29a9-472a-9984-9e8a1479d657 ## About the Role * 7+ years of experience in Data Engineering. * Bachelor's degree. * Experience with Google Cloud Platform (Google Cloud Platform). * Experience with Google Cloud Platform Cloud Run and BigQuery. * Experience with Kafka. * Experience with cloud architecture and cloud computing. * Experience with software development and application development. * Experience with SQL. * Experience with Big Data technologies. * Experience with Java. * Experience with Python. * Experience with application testing. * Experience with Agile software development. * Experience with APIs. * Experience related to Artificial Intelligence and Expert Systems. ## Description * Collaborate with business and technology stakeholders to understand current and future data requirements. * Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. * Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications. * Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data. * Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. * Develop and maintain scalable data ingestion and curation pipelines from diverse data sources. * Standardize and optimize data for analytical use while maintaining data quality. * Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. * Utilize Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms. * Implement and manage data governance policies, access controls, and security best practices. * Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices. * Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. * Identify opportunities to improve resource utilization and cost-effectiveness. * Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. * Automate data platform processes to improve reliability, data quality, and operational efficiency. * Communicate complex technical decisions clearly to technical and non-technical stakeholders. * Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities. * Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)