Senior Data Engineer: Scale Data Pipelines & Platforms

engineeringjobs.net, Inc.; California (MO); On-site; USD 55,000 - 69,000; Full time

Benefits offered by this job

AIC

Job summary

engineeringjobs.net, Inc. in Glendale, California is seeking a Senior Data Engineer to design, develop, and optimize scalable data solutions that support BI, analytics, and enterprise initiatives.

The candidate should have 9–13 years of experience, strong Python/SQL skills, and hands-on ETL/ELT development, data modeling, and data warehousing on cloud platforms (AWS/Azure/GCP). Collaboration with analysts, architects, and engineers in an Agile setting is essential.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 9--13 years of experience in Data Engineering, ETL development, and enterprise data solutions.
• Strong programming experience with Python, SQL, and data processing frameworks.
• Hands-on experience designing and developing ETL/ELT pipelines.
• Strong experience with data warehousing concepts, data modeling, and database technologies.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience with big data technologies and distributed processing systems.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data platforms, data warehouses, and data lakes.
• Develop data integration solutions using batch and real-time processing frameworks.
• Perform data modeling, transformation, cleansing, and validation activities.
• Collaborate with business stakeholders and data analysts to understand data requirements.
• Implement solutions using cloud-based data technologies and modern data architectures.
• Optimize SQL queries, data processing jobs, and system performance.
• Ensure data quality, security, governance, and compliance standards.
• Troubleshoot complex data issues and provide root cause analysis.
• Develop and maintain technical documentation for data solutions.
• Participate in Agile ceremonies, design discussions, and code reviews.
• Mentor junior engineers and contribute to best practices within the data engineering team.

Skills

Python

SQL

ETL/ELT

Data warehousing

Data modeling

Big data

Cloud platforms

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Apache Spark

Hadoop

Kafka

Databricks

Snowflake

AWS

Azure

GCP

Azure Data Factory

AWS Glue

Job description

engineeringjobs.net, Inc. in Glendale, California is seeking a Senior Data Engineer to design, develop, and optimize scalable data solutions that support BI, analytics, and enterprise initiatives.

The candidate should have 9–13 years of experience, strong Python/SQL skills, and hands-on ETL/ELT development, data modeling, and data warehousing on cloud platforms (AWS/Azure/GCP). Collaboration with analysts, architects, and engineers in an Agile setting is essential.