Data Engineer

Responsibilities

Design develop and maintain robust data and machine-learning / generative AI pipelines that support analytics reporting and business use cases.

Productionize generative AI prototypes by transforming ad-hoc notebooks and experiments into secure reliable and repeatable workflows using modern DevOps practices.

Implement and manage CI / CD pipelines infrastructure-as-code testing frameworks and monitoring to automate deployment and lifecycle management of data and GenAI workloads.

Collaborate with IT BI and data science teams to ensure that data models pipelines and GenAI services are designed for availability scalability maintainability and accuracy.

Tackle complex data integration challenges by applying ETL / ELT frameworks advanced querying techniques and sourcing from both structured and unstructured data.

Build and maintain well-documented structured data models and feature stores that enable efficient data science generative AI experimentation and analytics.

Optimize test and debug machine-learning and generative AI workflows and pipelines in a cloud environment ensuring performance robustness and cost efficiency.

Establish and enforce engineering best practices including code reviews version control standards automated testing environment management and release management.

Develop and maintain data quality standards observability and data governance processes that enable trusted data to be used across the enterprise.

Continuously monitor and optimize data pipeline performance to ensure efficiency data quality reliability security and compliance.

Effectively communicate data models datasets and pipeline designs to data scientists analysts and business stakeholders in clear accessible terms providing comprehensive documentation and support.

Help build and enhance data capabilities across the organization by ensuring teams are equipped with the right data tools and skills to effectively leverage them in support of the companys data-driven and GenAI objectives.

Qualifications :

3 years of professional experience in software development data engineering business intelligence data science or a related field. Experience in the CPG industry is a plus.

A bachelors or masters degree in computer science engineering mathematics or a related technical discipline is preferred.

Experience with data modeling cloud data warehousing (e.g. Snowflake or Databricks) and building ETL pipelines using tools such as dbt AWS Glue Dagster or Airflow. Experience preparing data for machine learning model training and real-time applications is a plus.

Proficiency in SQL and Python with experience building robust ETL / ELT pipelines.

Experience applying software engineering best practices to data engineering including CI / CD version control and testing frameworks.

Experience working with a major cloud platform such as AWS Azure or Google Cloud Platform (GCP).

Experience using big data technologies.

Knowledge of data management fundamentals and data storage principles.

Additional Information :

This position is open to U.S. citizens U.S. permanent residents or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $116000 - $174000 cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include :

Comprehensive Medical Dental and Vision Plans 401k Match Family Leave PTO & Paid Holiday Schedule Pet Legal and Life Insurance Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and / or work location)

Red Bull North America Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability veteran status age or any other classification protected by Federal state or local law. We will consider for employment all qualified Applicants including those with Criminal Histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance.

Remote Work : No

Employment Type : Full-time

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Experience : years

Vacancy : 1