Data Engineer, Senior

Insight Global (United States); Oakland (CA); Presencial; USD 150.000 - 195.000; Jornada completa

Descripción de la vacante

Insight Global is seeking a data engineering professional to design infrastructure for accessible big data and to deploy machine learning models in production. The role collaborates with multiple departments to embed standards into procedures and solve moderate-to-complex analytical problems.

The candidate should have 5+ years in data engineering/ETL, BI tool knowledge, and strong software engineering fundamentals. Join a diverse team focused on scalable analytics.

Formación

• BA/BS in Computer Science, MIS or related field, or equivalent experience.
• 5 years experience with data engineering/ETL ecosystem (Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE).
• Experience deploying machine learning algorithms.
• Business Intelligence and data access tool knowledge.
• Knowledge of unit testing, CI/CD, source control.

Responsabilidades

• 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.
• 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.

Conocimientos

Data engineering

ETL ecosystem

Palantir Foundry

Spark

Informatica

SAP BODS

OBIEE

ML deployment

BI tools

CI/CD

Source control

Educación

Bachelor's degree

Herramientas

Palantir Foundry

Spark

Informatica

SAP BODS

OBIEE

Descripción del empleo

Job Description

• 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.

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.

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].