Senior Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United States.

This role offers the opportunity to design, build, and optimize high-performance data platforms that support critical business insights and decision-making. You will work across modern data warehouses, data lakes, and cloud platforms, developing robust ETL/ELT pipelines and ensuring data integrity at scale. The position involves close collaboration with cross-functional teams, providing the technical expertise required to support analytics, reporting, and large-scale data initiatives. You will also contribute to improving data architecture, modeling, and performance tuning, enabling faster and more accurate data-driven decisions. This role is ideal for a technically skilled, detail-oriented professional who thrives in a collaborative, fast-paced environment and wants to make a direct impact on the organization’s data capabilities.

• Design, develop, and maintain data warehouses, data lakes, and large-scale ETL/ELT pipelines.
• Build solutions using industry-leading ETL tools and modern cloud-based data platforms such as Snowflake and AWS.
• Develop and optimize SQL scripts, stored procedures, and Python-based data processing solutions.
• Ensure data quality, integrity, and performance across multiple systems and pipelines.
• Apply data modeling principles to create logical and physical data models for high-volume environments.
• Implement version control, CI/CD processes, and Agile practices for data projects.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Monitor and tune pipeline performance and database objects to achieve optimal efficiency.

• Strong proficiency in SQL, Python, and at least one scripting language.
• Proven experience designing and building data warehouses, data lakes, and large-scale ETL/ELT pipelines.
• Knowledge of cloud data platforms such as Snowflake, AWS Redshift, or similar.
• Expertise in data modeling, architecture, and design patterns.
• Experience with industry-leading ETL tools (Informatica, IBM DataStage, SAP BODS) and ELT tools (DBT, Fivetran, AWS Glue).
• Familiarity with version control tools (GitLab) and CI/CD processes.
• Understanding of SDLC, Agile methodology, and data integration best practices.
• Experience in financial services or other regulated industries is a plus.
• Excellent problem-solving, analytical, and communication skills.

• Competitive hourly rate of $70–$72.
• Remote-friendly, full-time position.
• Opportunity to work on large-scale, impactful data initiatives.
• Exposure to modern data technologies and cloud platforms.
• Collaborative, growth-oriented work environment.

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