Title: Data Engineer III
Location: San Jose, CA (Remote)
Duration: 12 months
 
Day to day responsibilities:

• Design and develop robust ETL/ELT pipelines for structured and unstructured data.
• Hands-on database administrator skills to manage or identify root cause and resolve issues stemming from the management of structured and/or unstructured data sources.
• Automate data ingestion, transformation, and validation processes to improve efficiency and reduce manual effort.
• Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI/ML model development and deployment.
• Build and optimize data systems for performance, scalability, and reliability.
• And ensure data quality, integrity, and security across platforms.
• Develop and maintain documentation for data architecture, processes, and workflows.
• Monitor and troubleshoot data pipeline issues and implement proactive solutions.
• Experienced in Rest API connection.

 
Top 3 Must Haves:

• Proficiency in SQL and programming languages such as R, Python – 2 Years minimum
• Experience with contributing to the building and optimizing data pipelines, architectures, and data sets. – 2 Years minimum
• Experience with data automation tools and frameworks – 2 Years minimum

 
Nice to Have:

• SAS include SAS base/graph/listing – 2 Years minimum
• Exposure to AI/ML concepts and experience supporting model pipelines – 1 Years minimum
• Data visualization software such as Power BI, Python, RShiny – 1 Years minimum

 
Education Requirement:

• Minimum of a Bachelors’ Degree required; Advanced Degree preferred. Desired fields of study include Computer Science, Computer Engineering, Data Science, Statistics, Informatics, Information Systems or related quantitative field.

 
Software Skills Required:

• Proficient with SQL, R, Python and some forms of ETL solutions;
• Advanced SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Experience with contributing to the building and optimizing data pipelines, architectures, and data sets;

 
Software/Tools:

• SAS include SAS base/graph/listing
• Relational SQL
• Web Rest API connection
• Data visualization software such as Power BI, Python, RShiny
• Data pipeline and workflow management tools

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 50.00/hr.