Design Engineer

PPLIED; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

PPLIED is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power the platform’s matching and analytics capabilities. This remote, full-time role partners with product, engineering, and analytics teams to collect, transform, and integrate data from multiple sources into reliable warehouses and models.

You will implement ETL processes, optimize workflows, ensure data quality, and help improve performance, security, and documentation across the data infrastructure

Qualifications

• Bachelor's degree in CS, Engineering, Data Science, or related field or equivalent practical experience.
• Strong data engineering experience incl. building and maintaining data pipelines for large-scale systems.
• Experience with data modeling and data warehousing to support analytics.
• Proficiency in ETL processes and data ingestion/transform automation.
• Data analytics skills to interpret data and support reporting decisions.
• SQL proficiency; coding in Python or Scala is a plus.
• Experience with cloud data platforms (AWS/GCP/Azure) and orchestration tools.

Responsibilities

• Design, build, and maintain scalable data pipelines powering the platform's matching and analytics.
• Collect, transform, and integrate data from multiple sources into data warehouses and models.
• Implement ETL processes and optimize data workflows for quality and performance.
• Support data-driven features, reporting, and documentation of best practices.
• Collaborate with product, engineering, and analytics teams in a remote setting.

Skills

Data engineering

Data pipelines

Data modeling

ETL processes

Data analytics

SQL

Python/Scala

Cloud platforms

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

AWS

GCP

Azure

Apache Airflow

Job description

Company Description

PPLIED is a hands-free hiring platform designed to simplify and streamline the job search and recruiting process for both job seekers and employers. Recruiters can post a role once and receive a daily shortlist of automatically matched candidates, eliminating the need for job boards, manual searches, and fees. Job seekers upload a resume once, and PPLIED continuously matches and applies to relevant roles on their behalf, removing the need for repetitive applications and cover letters. The platform connects interested recruiters directly with candidates through messaging, creating a more efficient and transparent hiring experience. PPLIED offers its services free of charge, aiming to solve key challenges on both sides of the job market.

Note : Candidate must be reside in USA

Role Description

The Data Engineer at PPLIED is a full-time, remote role responsible for designing, building, and maintaining scalable data pipelines that power the platform's matching and analytics capabilities. In this role, the Data Engineer will work closely with product, engineering, and analytics teams to collect, transform, and integrate data from multiple sources into reliable data warehouses and models. Typical day-to-day tasks include implementing Extract Transform Load (ETL) processes, optimizing data workflows, ensuring data quality and integrity, and supporting data-driven features and reporting. The Data Engineer will also help improve performance, reliability, and security of the data infrastructure, while contributing to documentation and best practices for data engineering across the organization.

Qualifications

• Candidates should possess strong data engineering skills, including experience building and maintaining data pipelines and working with large-scale data systems.
• Candidates should possess skills in data modeling and data warehousing to design efficient, well-structured schemas that support analytics and product needs.
• Candidates should possess expertise in Extract Transform Load (ETL) processes and related tools to automate and optimize data ingestion and transformation.
• Candidates should possess data analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions.
• Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python or Scala) is beneficial.
• Experience with cloud-based data platforms and services (e.g., AWS, GCP, or Azure), as well as modern data frameworks and orchestration tools, is advantageous.
• Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment are important.
• A bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience, is preferred.