Data Engineer, Senior

Job Description Description:

• The roles are Hybrid with OGO as location in office 1x a month
• Workers should be transitioning with their current PGE laptops
• With prior PG&E Manager approval, may expense for Mileage and travel reimbursements
• Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.
• Partners with various departments to understand and incorporate standards information and requirements into work procedures.
• Deploys machine learning algorithms in production environments.
• Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.
• Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions
• Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.
• Communicates (oral and written) recommendations.
• Mentors/provides guidance to less experienced colleagues.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

EDUCATION MINIMUM

• BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience.

SKILLS MINIMUM

• 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP

BODS, OBIEE.

• Experience with machine learning algorithm deployment.
• Business Intelligence and data access tool knowledge.
• Knowledge of software engineering principals such as unit testing, CI/CD, source control.