Job Description

Salary: $72,000 - 112,000 per year Requirements:

• Bachelors degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field, or an equivalent combination of education and experience; a masters degree is preferred.
• 5–7 years of experience in data engineering or software engineering, including at least 2 years of hands-on experience building and deploying cloud-based data platforms.
• Strong proficiency in SQL, Java, and Python, with experience using Python, SQL, and DBT/Dataform to build data pipelines.
• Practical experience designing and deploying cloud data pipelines and platforms using GCP services, including BigQuery, Dataflow, DataProc, Pub/Sub, and Cloud Functions.
• Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases.
• Understanding of service-oriented architecture (SOA), microservices, and their use in cloud data platforms.
• Knowledge of data governance frameworks, access controls, encryption, and data masking in cloud environments.
• Familiarity with CI/CD pipelines and Infrastructure as Code tools such as Terraform and Tekton.
• Experience with automation frameworks, analytics dashboards, and Astronomer for data workflow management.
• Experience monitoring and optimizing GCP costs and compute resources, including for BigQuery, Dataflow, Cloud Run, and DataProc.
• Strong analytical and problem-solving skills, including the ability to troubleshoot complex data platform and microservices issues.
• Passion for data, innovation, and continuous learning.

• Work with business and technology stakeholders to understand current and future data needs.
• Design, build, and maintain scalable data infrastructure for collecting, storing, transforming, and analyzing data.
• Develop and maintain data pipelines, models, applications, and ingestion and curation workflows across diverse data sources.
• Design and maintain data warehouses, data lakes, and lakehouse solutions for structured and unstructured data.
• Create analytical tools, algorithms, programs, and scripts to support data engineering and automate platform processes.
• Standardize and curate data to ensure it is high quality and ready for analysis, supporting reliable flow from source to insight.
• Build and manage data platforms using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions.
• Establish and maintain data governance policies, access controls, and security practices, including encryption and data masking.
• Use Astronomer and Terraform to manage data workflows and provision cloud infrastructure.
• Monitor and improve the performance, scalability, efficiency, and cost of data pipelines, storage, and GCP compute resources.
• Partner with data and application architects, service owners, and cross-functional teams to define and promote cloud data engineering practices, design patterns, and frameworks.
• Identify opportunities to improve data solutions and automate operations to strengthen reliability, data quality, and efficiency while reducing manual work.

• BigQuery
• CI/CD
• Cloud
• Flow
• GCP
• Support
• Java
• MySQL
• NoSQL
• PostgreSQL
• Python
• SQL
• Security
• Terraform
• dbt
• microservices
• Fullstack

More:

We are HTC Global Services, and we are seeking a Full Stack Data Engineer to help develop and maintain an enterprise data platform in a GCP environment. This hybrid role requires four days onsite per week and focuses on data infrastructure, governance, security, performance, and automation. At HTC Global, we offer opportunities to collaborate with experts and clients, contribute to high-performing teams, and grow your career while developing skills in emerging technologies. Our benefits may include medical, dental, and vision coverage, paid time off and holidays, 401(k) matching, life and disability insurance, professional development, wellness programs, and other perks. We value inclusion and diversity and are committed to a respectful workplace where people are treated with dignity.

last updated 40 week of 2026

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