Senior Data Engineer - Enexus Global - San Francisco, CA, US | Dice.com

Enexus Global

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Senior Data Engineer

San Francisco, CA, US • Posted 14 hours ago • Updated 7 hours ago

Contract W2

Contract Corp To Corp

On-site

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🛠️ Calibrating flux capacitors...

Job Details

Skills

Python
ETL
Snowflake

Summary

Local to bay area

Onsite 1day a week

Exp 12+

W2 / C2C

Skills: Snowflake, Python, and ETL

Job Overview

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

Key Responsibilities

Develop and optimize cloud-based data storage and processing solutions using Snowflake.
Design, implement, and maintain robust data pipelines and ETL processes
Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
Ensure data integrity and security across all data workflows and storage solutions.
Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
Develop reusable and modular stored procedures and scripts for data processing.
Contribute to the development and implementation of data governance and best practices.
Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
Implement best practices for data governance, data quality, and metadata management.

Minimum Qualifications

Bachelor's or master's degree in computer science, Engineering, or a related field.
Minimum of 5 years of experience in data engineering or a related role.
Proven experience with Snowflake is required.
Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
Strong proficiency in SQL and database management.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with version control (Git) and CI/CD for data pipelines.
Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.

Preferred Skills

Experience with Python or other scripting languages.
Experience with informatica but not necessary.
Knowledge of data visualization tools such as Tableau or Power BI.
Exposure to data orchestration tools

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90969158
Position Id: 2025-4485/37131
Posted 14 hours ago

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