Senior Data Engineer - Pipelines, Data Modeling & Analytics

ECLARO; Irvine (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

ECLARO is seeking a data engineer to design, build and maintain data architectures, integrations and pipelines that align with business and technical requirements.

You will develop reliable data sets, data models and curated data layers to support analytics, reporting, dashboards and self-service analytics. Partner with analytics team and stakeholders to deliver curated datasets that enable data-driven decision-making, and implement scalable solutions with strong data quality monitoring.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Analytics or related field.
• Minimum 5+ years’ experience in a Data Engineering role.
• Strong experience with enterprise relational databases; Oracle preferred.
• Advanced SQL, PL/SQL, Python; Spark and data engineering tools.

Responsibilities

• Design, build and maintain data architectures, integrations and pipelines.
• Develop data sets, models and curated layers for analytics, reporting, dashboards and BI.
• Partner with analytics team and business stakeholders to deliver curated datasets for reporting and decision-making.
• Identify opportunities to improve data reliability, efficiency, scalability and quality.
• Build and support API integrations to handle increasing data volume and complexity.
• Engineer scalable data pipelines that integrate, transform, and standardize data from disparate sources.
• Implement data quality monitoring to ensure production data is accurate and timely.
• Troubleshoot data issues and assist with root-cause resolution.

Skills

SQL

PL/SQL

Python

Spark

Education

Bachelor's degree in Computer Science, Information Systems, Analytics or related fields

Tools

Oracle

Job description

ECLARO is seeking a data engineer to design, build and maintain data architectures, integrations and pipelines that align with business and technical requirements.

You will develop reliable data sets, data models and curated data layers to support analytics, reporting, dashboards and self-service analytics. Partner with analytics team and stakeholders to deliver curated datasets that enable data-driven decision-making, and implement scalable solutions with strong data quality monitoring.