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Jobgether

Jobgether

via Lever.co

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Senior Data Engineer - REMOTE

Anywhere
Full-time
Posted 2/22/2026
Direct Apply
Key Skills:
Data Pipelines
SQL
Python
ETL Tools
Data Modeling

Compensation

Salary Range

$80K - 120K a year

Responsibilities

Design and optimize scalable data pipelines and architecture for comprehensive data management solutions.

Requirements

Bachelor's degree with 5 years experience including 2 years in data engineering, proficiency in SQL, Python, RDBMS, cloud data platforms, and Spark/Databricks.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will design, implement, and optimize scalable data pipelines and architecture to support comprehensive data management solutions. Your contributions will ensure efficient data flow and processing, enabling the organization to handle large-scale datasets effectively. Collaboration with cross-functional teams will be essential to translate complex data requirements into effective engineering solutions. Additionally, you will guide junior engineers, uphold data quality standards, and stay updated on emerging technologies to foster innovation. This role is critical in enhancing our data strategy and delivering timely project outcomes. \n Accountabilities Design, implement, and optimize robust data pipelines using SQL, Python, and cloud-based ETL tools. Ensure efficient data flow and processing to support large-scale data handling. Develop and refine data models that accurately represent business processes. Enhance data architecture strategy related to storage, consumption, integration, and management. Lead Agile/SCRUM processes to ensure timely project delivery. Collaborate with data scientists and engineering teams on data requirements. Guide and mentor junior data engineers. Monitor and enhance the performance of data infrastructure. Generate comprehensive documentation for data processes and architectures. Requirements Master's degree in Data Science, Computer Science, or related field and 3 years of experience, or a Bachelor’s degree with 5 years of experience. 2 years of experience in data engineering and optimizing databases and data pipelines. Proficient in SQL and Python for advanced data manipulation. Experience with SQL Server, Oracle, or other RDBMS. Knowledge of data modeling and architecture for large-scale environments. At least one major cloud data platform experience (Azure, AWS, Google Cloud). Experience with Spark and Cloud ETL tools like Databricks. Ability to develop data models for business intelligence and analytics. Benefits Competitive salary range of $125,000.00 to $150,000.00 per year. Opportunities for professional development and continuous learning. Flexible work arrangements and telecommuting options. Collaborative and innovative work culture. Access to cutting-edge technologies and methodologies. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

This job posting was last updated on 2/24/2026

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