Accountabilities
The Senior Data Engineer will be responsible for developing and maintaining scalable data systems, ensuring data reliability, and partnering with stakeholders to transform complex business needs into effective technical solutions.
Design, develop, deploy, and maintain production-grade data pipelines using Python, Spark, and Databricks.
Build and improve analytical data models that support financial decisions, product development, operations, marketing, and business growth.
Develop robust ETL workflows and ensure the reliability, performance, and scalability of data infrastructure.
Collaborate closely with Analysts, Data Engineers, and cross-functional teams to deliver high-quality self-service analytics capabilities.
Investigate datasets, validate business assumptions, and ensure accuracy and consistency before deploying new data solutions.
Establish and promote best practices around code quality, data quality, documentation, and engineering standards.
Support continuous improvement of data platforms by identifying opportunities to optimize processes and increase efficiency.
Serve as a technical contributor and mentor by sharing knowledge, improving team practices, and helping elevate engineering excellence.
Requirements
The ideal candidate brings strong data engineering expertise, experience building modern data platforms, and the ability to collaborate effectively with technical and business teams.
5+ years of experience in data engineering, ETL development, and data modeling.
5+ years of professional experience using Python for data processing and engineering workflows.
2+ years of hands-on experience working with Databricks and distributed data processing environments.
Strong experience with Apache Spark and building scalable data pipelines.
Proven ability to translate complex business challenges into practical and reliable technical solutions.
Solid understanding of data modeling concepts, analytics infrastructure, and production data systems.
Strong problem-solving skills with attention to data accuracy, performance, and maintainability.
Excellent communication skills and the ability to collaborate with Analysts, Engineers, and business stakeholders.
Ability to work independently in a remote environment while managing priorities effectively.
Benefits
Competitive salary range of $151,000 – $189,000 USD .
Fully remote-first work environment with flexibility to work from home, from an office, or anywhere within the United States.
Equity opportunities.
Unlimited vacation policy.
Universal paid parental leave.
Comprehensive health, vision, dental, and life insurance coverage.
401(k) plan with company match.
Work-from-home stipend to support home office setup.
Monthly product credit supporting access to healthy groceries.
Opportunity to work within an innovative, AI-driven environment focused on improving everyday experiences.
How Jobgether works:
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!
Why Apply Through Jobgether?
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.
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