What are the responsibilities and job description for the Data Engineer 3 position at GForce Life Sciences?
Data Engineer 3
6 month contract
Hybrid in Santa Clara, CA
Must be able to work on a W2
Job Summary
We are seeking a skilled Data Application Engineer to design, build, and maintain data-driven applications and pipelines that enable seamless data integration, transformation, and delivery across systems. The ideal candidate will have a strong foundation in software engineering, database technologies, and cloud data platforms, with a focus on building scalable, robust, and efficient data applications.
Key Responsibilities :
Develop Data Applications : Build and maintain data-centric applications, tools, and APIs to enable real-time and batch data processing.
Data Integration : Design and implement data ingestion pipelines, integrating data from various sources such as databases, APIs, and file systems.
Data Transformation : Create reusable ETL / ELT pipelines to process and transform raw data into consumable formats using tools like Snowflake, DBT, or Python.
Collaboration : Work closely with analysts, and stakeholders to understand requirements and translate them into scalable solutions.
Documentation : Maintain comprehensive documentation for data applications, workflows, and processes.
Required Skills and Qualifications :
Education : Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Programming : Proficiency in programming languages Python, C# , ASP.NET (Core)
Databases : Strong understanding of SQL, database design, and experience with relational (e.g., Snowflake, SQL Server) databases
Data Tools : Hands-on experience with ETL / ELT tools and frameworks such as Apache Airflow (DBT - Nice to Have)
Cloud Platforms : Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (e.g., S3, AWS Lambda etc.).
Data Pipelines : Experience with real-time data processing tools (e.g., Kafka, Spark) and batch data processing.
APIs : Experience designing and integrating RESTful APIs for data access and application communication.
Version Control : Knowledge of version control systems like Git for code management.
Problem-Solving : Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Preferred Skills :
Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
Experience with BI tools like Tableau, Power BI, or Looker.
Soft Skills :
Excellent communication and collaboration skills to work effectively in cross-functional teams.
Ability to prioritize tasks and manage projects in a fast-paced environment.
Strong attention to detail and commitment to delivering high-quality results.
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