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Sr Data Engineer

LinQ Global Group
San Luis Obispo, CA

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Job Details

Contract

Benefits

Health insurance
Dental insurance
401(k)

Qualifications

Data integrity assurance
Data model design
Cloud analytics services
Databricks
Database systems
Cloud data warehouses
Data modeling projects
5 years
Spark
Snowflake
Java
Application development
Production systems
Collaboration with product development teams
AWS
Data pipeline scheduling
Airflow
Distributed systems
Scala
Data quality monitoring
GraphQL APIs
GraphQL
Real-time data processing implementation
Senior level
BigQuery

Full Job Description

Job Title: Sr Data Engineer

Location: Glendale, CA, 93401– Onsite 4 days a week

Duration: 12-month contract

Python, AWS, Spark, Snowflake, Databricks, and Airflow

5+ years of data engineering experience, specifically developing large-scale data pipelines

Databricks and Python expertise

Summary:

The Company in the Entertainment & Media space is focused on delivering world-class stories and experiences to its global audience. To deliver the best entertainment experiences, their technology teams focus on innovation and using the latest technology.

Platform / Stack: You will work with technologies that include Python, AWS, Spark, Snowflake, Databricks, and Airflow.

What You'll Do as a Sr Data Engineer:

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines.
Build and maintain APIs to expose data to downstream applications. Develop real-time streaming data pipelines.
Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake.
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform.
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

Qualifications: You could be a great fit if you have:

5+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g., Python, Java, Scala)
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
Experience in developing APIs with GraphQL
Advanced understanding of OLTP vs OLAP environments
Strong background in at least one of the following: distributed data processing, software engineering of data services, or data modeling

This client requires that a background check be completed:

We require background checks to protect our company and its stakeholders by hiring individuals with a trustworthy history, which helps maintain a safe and secure workplace. This proactive measure minimizes potential risks and promotes a culture of integrity within the organization.

Benefits Offered: Employer provides access to:

3 levels of medical insurance for you and your family
Dental insurance for you and your family, 401 (k).
Over time, California has the following sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours. If you are based in a different state, please inquire about that state’s sick leave policy.

Apply Now

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Sr Data Engineer

Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)

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