Senior Data Engineer - Remote Opportunity

About the Role

We are seeking a Senior Data Engineer to join our dynamic team in a remote capacity. In this role, you will lead the development, maintenance, and optimization of data pipelines and workflows within our Enterprise Data Platform. Your expertise in data engineering will ensure data accuracy, reliability, and accessibility, enabling teams across the organization to make informed decisions.

What You'll Do

• Lead the design, development, and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
• Build pipelines and workflows as code using modern engineering practices, including version control, code reviews, and automated testing.
• Define and implement CI/CD patterns for data pipelines, ensuring automated builds, tests, and deployments.
• Collaborate with data scientists, analysts, and business teams to gather requirements and translate them into robust data solutions.
• Build and optimize SQL queries and transformations to support complex business use cases and analytics needs.
• Design and manage data models; validate them with business stakeholders and governance partners.
• Establish data quality checks and validation practices to ensure accuracy and consistency in data products.
• Monitor and optimize pipeline performance and reliability, implementing observability practices.

Requirements

• Bachelor’s degree in computer science, Information Systems, or a related field (or equivalent experience).
• 5–8 years of experience in data engineering or a related role.
• Advanced proficiency in SQL for complex data transformation and analysis.
• Hands-on experience with cloud-based data platforms such as Databricks, Snowflake, or similar tools.
• Strong proficiency in Python and/or PySpark for data processing and pipeline development.
• Experience with ETL/ELT tools and frameworks (e.g., Informatica, Talend, dbt, or equivalent).
• Strong understanding of data modeling and database design principles.
• Experience implementing CI/CD for data pipelines and managing deployments across environments.

Nice to Have

• Familiarity with orchestration and workflow tools (e.g., Databricks Workflows, Airflow).
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation).
• CPG Domain Knowledge.

What We Offer

• Competitive salary range of $120,000 to $140,000 per year.
• Comprehensive relocation support for candidates looking to move.
• Flexible remote work environment.
• Opportunities for professional development and mentorship.
• Collaborative team culture with cross-functional projects.

Join us as a Senior Data Engineer and take your career to the next level while working remotely. Apply now to be part of our innovative team!