Remotery

Data Engineer, Snowflake, Applied Analytics

atCotulla EducationUS flagUnited StatesFull-timeData EngineerMid-levelSenior$90k – $95k/year

Posted May 14

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

📋 Description

• Design and oversee APIs to facilitate secure and efficient data transfer between systems.

• Construct, sustain, and enhance scalable data pipelines to ensure reliability and performance.

• Develop and automate ETL processes to gather, cleanse, and convert data from various sources.

• Manage and optimize the Snowflake data warehouse environment.

• Create and uphold data models and views that support reporting and business intelligence tools.

• Monitor data pipelines and resolve issues to guarantee data consistency and accuracy.

• Collaborate with data analysts and business intelligence teams to address reporting and visualization requirements.

• Implement best practices in data governance, security, and compliance.

• Validate data outputs to ensure quality, consistency, and integrity across different systems.

• Continuously seek opportunities to enhance performance, scalability, and efficiency.

• Document data flows, integrations, and system architecture to promote transparency and knowledge sharing.

• Provide assistance and guidance to stakeholders regarding data infrastructure and reporting capabilities.


⛳️ Requirements

• Preferred Bachelor's degree in Computer Science, Data Science, Business, or a related field (or equivalent experience).

• Experience in designing and managing data pipelines, APIs, and data warehouse environments.

• Strong SQL proficiency with experience in Snowflake (preferred) or similar platforms.

• Practical experience with ETL processes and data transformation.

• Understanding of data governance, security, and best practices.

• Experience in supporting business intelligence tools such as Power BI or Tableau.

• Strong analytical thinking and problem-solving skills.

• Capability to work with large datasets across distributed systems.

• Detail-oriented focus on data accuracy and performance.

• Excellent communication and collaboration skills.

• Proficiency in Microsoft Office tools (Excel, Word, Outlook, Teams, SharePoint).

• Ability to work independently in a fast-paced, performance-oriented environment.

• Willingness to accommodate occasional evenings, weekends, and travel.


🏝️ Benefits

• 401(k) with company match.

• Health, Dental, and Vision insurance.

• Life insurance.

• Parental leave.

• Paid time off.

• Employee Assistance Program.

• Tuition reimbursement.

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