Remote Data Systems Engineer (SQL-Heavy)

DAP Brands; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

DAP Brands is seeking a high-ownership, systems-minded Data Analyst who builds and maintains the data foundation that powers decision-making. This role focuses on centralizing data in PostgreSQL and delivering cleaner, more reliable data across teams.

You will design and optimize SQL/PostgreSQL databases, implement ETL processes, ensure data integrity across CRM and operational tools, and create dashboards to support business decisions while reducing manual work through automation.

Qualifications

• Strong experience with SQL and PostgreSQL.
• Data cleaning, validation, and normalization.
• Advanced skills in Excel / Google Sheets (pivot tables, queries, data modeling).
• Experience with CRM systems (GoHighLevel, HubSpot) and maintaining data integrity.
• Proficiency in programming/scripting (JavaScript, XML, or similar).
• Exceptional analytical and problem-solving skills with attention to detail.

Responsibilities

• Build, manage, and optimize SQL/PostgreSQL databases for centralized data access.
• Write efficient, scalable queries for reporting and operational use.
• Design and maintain ETL processes for clean, consistent data flow.
• Perform data cleaning, validation, and normalization across multiple sources.
• Ensure data integrity across CRM and operational systems.
• Create and maintain client-level dashboards and reporting systems.
• Collaborate with teams to define metrics and improve data tracking.
• Proactively automate and improve how data is collected, stored, and used.

Skills

SQL

Data cleaning

Data normalization

Excel / Google Sheets

Analytical thinking

Ownership

Problem solving

Attention to detail

Tools

ETL tools

Power BI

Tableau

Looker

GoHighLevel

HubSpot

JavaScript

Job description

DAP Brands is seeking a high-ownership, systems-minded Data Analyst who builds and maintains the data foundation that powers decision-making. This role focuses on centralizing data in PostgreSQL and delivering cleaner, more reliable data across teams.

You will design and optimize SQL/PostgreSQL databases, implement ETL processes, ensure data integrity across CRM and operational tools, and create dashboards to support business decisions while reducing manual work through automation.