Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, maintain, and troubleshoot data pipelines and data products that support enterprise analytics and reporting.

• Develop and uphold ETL processes to extract, transform, cleanse, validate, and load data from various sources.

• Utilize Python or R for data analytics, data operations, automation, backend development, and activities related to data pipelines.

• Write, optimize, and debug complex SQL queries using PostgreSQL and Microsoft SQL Server.

• Create and maintain data warehouse solutions, including data structures, transformations, and operational workflows.

• Assist in data quality initiatives, conduct root cause analysis, and devise solutions to enhance data accuracy, consistency, and reliability.

• Monitor and resolve issues in data pipelines, ETL processes, databases, and data operations.

• Develop stored procedures, functions, and other database objects.

• Facilitate data integration across enterprise applications and data sources.

• Operate in Linux/UNIX and Windows server environments.

• Apply DevOps principles and practices to data engineering and application development.

• Gather requirements and translate organizational needs into scalable technical data solutions.

• Support web applications and technical solutions that enable data analytics and data-driven decision-making.

• Assist in the integration and analysis of Salesforce data alongside other enterprise data sources.

• Document data processes, technical requirements, data flows, pipelines, and operational procedures.

• Identify opportunities for enhancing data engineering processes, automation, performance, and reliability.

• Collaborate with developers, analysts, business stakeholders, and technical teams throughout the software and data development lifecycle.

⛳️ Requirements

• Hands-on professional experience with Python or R in data analytics, data operations, automation, backend development, or data pipeline development.

• Strong proficiency in writing and optimizing complex SQL queries using enterprise databases such as PostgreSQL or Microsoft SQL Server.

• Experience in developing and supporting ETL processes and data pipelines.

• Familiarity with data warehouse development and operations.

• Experience working in both Linux/UNIX and Windows environments.

• Knowledge of DevOps principles and practices relevant to data engineering and software development.

• Experience in troubleshooting data operations, data pipelines, data quality issues, and backend data processes.

• Strong analytical, problem-solving, and technical documentation abilities.

• Capacity to gather requirements and translate business and operational needs into technical data solutions.

• Ability to work collaboratively with technical teams, business stakeholders, and end users.

• A Bachelor's degree or advanced degree in a technical or quantitative field is highly preferred.

• A minimum of six (6) years of relevant professional experience.

• An equivalent combination of education and relevant professional experience may be considered.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company matching.

• Opportunities for professional development and continuous learning.

• Flexible work schedule and remote work options.

• Supportive and inclusive work environment.