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Sr Data Engineer

S Linx LLCSanta Monica, CA🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This Sr. Data Engineer role offers exciting opportunities to build robust data pipelines and contribute to impactful business intelligence at a reputable company. You'll thrive here if you enjoy designing scalable ETL/ELT processes and leveraging tools like DBT and Snowflake to deliver actionable insights. Apply now to advance your career in data engineering within a collaborative environment.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Santa Monica, CA, United States
Posted
1 week ago
SQLAWSETLSnowflakeTableauAirflowAzureData PipelinePower BIPythondbt

Job Description

Role - Sr Data Engineer

Location - Santa Monica, California, Onsite -  4 days office

 

Responsibilities:

·       Design and develop scalable ETL/ELT pipelines to ingest and transform data from various sources.

·       Build and maintain data models and transformations using DBT in Snowflake.

·       Work closely with analysts and business users to deliver Power BI dashboards and datasets .

·       Integrate and automate data extraction from external APIs using Python , loading clean data into Snowflake.

·       Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

·       Optimize and monitor data workflows in ADF, AWS Glue , or similar tools.

·       Work with relational databases and ensure data integrity, quality, and performance.

·       Maintain documentation and follow best practices for data engineering workflows.

·       Support data migration or integration efforts with SAP BW systems (a plus, not mandatory).

 

Required Skills:

·       Strong experience with Snowflake (data modeling, performance tuning, warehousing concepts).

·       Proficiency in DBT (Data Build Tool) for transformation pipelines.

·       Hands-on experience with Power BI (data modeling, DAX, visualization best practices) or other tools like SAC/Tableau.

·       Solid knowledge of Python , especially for API integrations and data processing.

·       Experience with cloud-based data pipeline tools , such as Azure Data Factory (ADF) and/or AWS Glue .

·       Good understanding of relational databases , SQL, and data modeling concepts.

·       Strong problem-solving skills and ability to work independently or in a team.

·       Excellent communication and documentation skills.

 

Nice to Have:

·       Exposure to SAP BW data sources or integration with Snowflake.

·       Experience with DevOps tools for data (CI/CD, version control in data workflows).

·       Familiarity with orchestration tools like Airflow or Azure Data Factory triggers.

 

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