Remote Data Engineer

Amend Treatment; Kansas City (MO); Remote; USD 90,000 - 120,000; Full time

Job summary

Amend Treatment is seeking a Remote Data Engineer to design, build, and maintain data pipelines, databases, and data warehouses to support analytic decision-making. You will work with analysts, data scientists, and engineers to ensure data accuracy and accessibility across cloud platforms.

The role emphasizes remote collaboration, strong SQL, Python/Java skills, and the ability to implement ETL/ELT processes while ensuring data quality and security across systems.

Qualifications

• Strong understanding of databases and data management
• Knowledge of SQL for querying and managing data
• Familiarity with Python, Java, or another programming language
• Understanding of data structures and data processing concepts
• Knowledge of ETL or ELT processes
• Familiarity with data warehouses and data pipeline development
• Problem-solving and analytical skills
• Attention to detail and a commitment to data accuracy
• Good written communication and teamwork skills
• Ability to work independently in a remote environment

Responsibilities

• Design, build, and maintain data pipelines to collect and process information.
• Develop systems to extract, transform, and load data from different sources.
• Create and manage databases and data warehouses.
• Write SQL queries to retrieve, organize, and analyze data.
• Use programming languages such as Python or Java to process data.
• Clean and validate datasets to improve data quality and accuracy.
• Integrate data from different applications, databases, and external systems.
• Monitor data pipelines and troubleshoot technical problems.
• Optimize database performance and improve data processing efficiency.
• Implement data security measures and access controls.
• Collaborate with data analysts, software engineers, and other technical teams.
• Document data processes, system designs, and technical procedures.

Skills

Data management

SQL querying

Python

Java

ETL/ELT

Data pipelines

Data warehouses

Analytical skills

Attention to detail

Written communication

Tools

SQL

Job description

A Remote Data Engineer is responsible for designing, building, maintaining, and improving systems that collect, process, store, and organize large amounts of data. The role involves developing data pipelines, managing databases, integrating information from different sources, and ensuring that data is accurate, reliable, and accessible for analysis.

Remote Data Engineers work with software developers, data analysts, data scientists, and business teams to build efficient data systems that support business decisions. Most responsibilities are completed remotely using programming languages, database tools, and cloud computing platforms.

Key Responsibilities

• Design, build, and maintain data pipelines to collect and process information.

• Develop systems to extract, transform, and load data from different sources.

• Create and manage databases and data warehouses.

• Write SQL queries to retrieve, organize, and analyze data.

• Use programming languages such as Python or Java to process data.

• Clean and validate datasets to improve data quality and accuracy.

• Integrate data from different applications, databases, and external systems.

• Monitor data pipelines and troubleshoot technical problems.

• Optimize database performance and improve data processing efficiency.

• Implement data security measures and access controls.

• Collaborate with data analysts, software engineers, and other technical teams.

• Document data processes, system designs, and technical procedures.

Required Skills and Qualifications

• Strong understanding of databases and data management.

• Knowledge of SQL for querying and managing data.

• Familiarity with Python, Java, or another programming language.

• Understanding of data structures and data processing concepts.

• Knowledge of ETL or ELT processes.

• Familiarity with data warehouses and data pipeline development.

• Problem-solving and analytical skills.

• Attention to detail and a commitment to data accuracy.

• Good written communication and teamwork skills.

• Ability to work independently in a remote environment.