Data Engineer

HIRECLOUT; La Puente (CA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Salary Range: $90k - $120k/year

Medical, dental, and vision coverage

401(k) retirement plan

Generous paid time off

Professional development and career成长

Job summary

HIRECLOUT is seeking a Data Engineer in California to own data pipelines, transform and model data, and deliver reliable datasets for business insights. You will collaborate with engineering, marketing, and analytics teams to ensure high-quality data and actionable analytics across the organization.

The role emphasizes building scalable data workflows, supporting LTV, attribution, and cross-channel reporting, and driving data governance in a fast-paced retail analytics function.

Qualifications

• 4-5 years of experience in data engineering, analytics engineering, or a related technical role.
• Strong SQL skills with experience querying and optimizing large datasets.
• Proficiency in Python or another modern programming language such as JavaScript, PHP, or .NET.
• Experience building, maintaining, and troubleshooting data pipelines and ETL/ELT processes.
• Advanced Excel skills, including pivot tables, lookup functions, and data analysis.
• Strong analytical and problem-solving abilities with exceptional attention to detail.
• Excellent communication skills and the ability to collaborate across technical and business teams.
• Self-motivated with the ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Design, build, test, and maintain scalable ETL/ELT pipelines and data workflows.
• Own data acquisition, transformation, modeling, and lineage across multiple business systems.
• Develop and optimize data pipelines using SaaS ELT tools, orchestration platforms, and custom scripting.
• Partner with engineering, marketing, and business stakeholders to improve data quality, accessibility, and reliability.
• Support advanced analytics initiatives including customer segmentation, lifetime value (LTV) analysis, marketing attribution, ROI measurement, and cross-channel performance reporting.
• Help identify trends and opportunities by delivering clean, actionable datasets for business intelligence and reporting.
• Clearly communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Continuously improve data processes, documentation, and overall data governance.

Skills

SQL

Python

Data pipelines

ETL/ELT

Excel

Tools

Looker

Tableau

Sigma

Metabase

Job description

Job Title: Data Engineer

Location: City of Industry, CA (Hybrid - 3 days onsite)

Role Overview

A well-established consumer retail brand with a strong national presence is investing heavily in its data and analytics capabilities to better understand customers and drive smarter business decisions. This is an opportunity to join a collaborative, forward-thinking team where you'll play a key role in building the data infrastructure that powers customer insights, marketing strategy, and business intelligence across the organization.

If you're excited by owning data pipelines, solving complex data challenges, and helping shape the future of a growing analytics function, this is a role where your work will have meaningful visibility and impact.

Key Responsibilities

• Design, build, test, and maintain scalable ETL/ELT pipelines and data workflows.
• Own data acquisition, transformation, modeling, and lineage across multiple business systems.
• Develop and optimize data pipelines using SaaS ELT tools, orchestration platforms, and custom scripting.
• Partner with engineering, marketing, and business stakeholders to improve data quality, accessibility, and reliability.
• Support advanced analytics initiatives including customer segmentation, lifetime value (LTV) analysis, marketing attribution, ROI measurement, and cross-channel performance reporting.
• Help identify trends and opportunities by delivering clean, actionable datasets for business intelligence and reporting.
• Clearly communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Continuously improve data processes, documentation, and overall data governance.

Education & Qualifications

• 4-5 years of experience in data engineering, analytics engineering, or a related technical role.
• Strong SQL skills with experience querying and optimizing large datasets.
• Proficiency in Python or another modern programming language such as JavaScript, PHP, or .NET.
• Experience building, maintaining, and troubleshooting data pipelines and ETL/ELT processes.
• Advanced Excel skills, including pivot tables, lookup functions, and data analysis.
• Strong analytical and problem-solving abilities with exceptional attention to detail.
• Excellent communication skills and the ability to collaborate across technical and business teams.
• Self-motivated with the ability to manage multiple priorities in a fast-paced environment.

Preferred Experience

• Experience with modern BI and visualization platforms such as Looker, Tableau, Sigma, or Metabase.
• Familiarity with customer analytics, marketing analytics, or retail/eCommerce data.
• Experience supporting customer segmentation, attribution modeling, or business performance analytics.
• Passion for leveraging data to drive business strategy and improve customer experiences.

Benefits And Perks

• Salary Range: $90k - $120k/year
• Comprehensive medical, dental, and vision coverage.
• 401(k) retirement plan.
• Generous paid time off.
• Professional development and career growth opportunities.
• Collaborative, supportive, and highly innovative team environment.

Why Us

• Join a company making meaningful investments in modern data and analytics capabilities.
• Work on high-impact initiatives that directly influence customer engagement and business strategy.
• Enjoy significant ownership and autonomy while helping shape a growing data function.
• Collaborate with talented cross-functional teams that value curiosity, innovation, and continuous improvement.
• Build solutions that have visible impact across the organization while continuing to expand your technical expertise.

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship.