Senior Data Engineer

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

📋 Description

• Design, construct, and oversee scalable data pipelines and integrations between internal and external systems.

• Develop and enhance data solutions that support analytics, business intelligence, machine learning, AI/Agentic AI, operational reporting, and self-service data access.

• Create robust ELT/ETL workflows for ingesting and transforming data from CRM, product telemetry, marketing, finance, support, and subscription platforms.

• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics.

• Enhance data reliability, quality, observability, lineage, and performance throughout the data platform.

• Design and sustain data pipelines and services that facilitate AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, retrieval-based workflows, and intelligent applications.

• Collaborate with analytics engineers, data scientists, architects, and business stakeholders to convert requirements into production-grade data solutions.

• Ensure that data pipelines are secure, governed, and aligned with enterprise data standards and best practices.

• Optimize data processing and storage for performance, cost, scalability, and maintainability.

• Support both near real-time and batch data processing patterns.

• Contribute to the overall data architecture, which includes ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers.

• Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause analysis and remediation.

• Contribute to engineering standards, code quality, and team best practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.

• Experience in GTM Analytics domains such as product analytics, customer success, finance, or subscription analytics.

• 8+ years of experience in data engineering, ideally within B2B SaaS or large-scale technology companies.

• Strong background in designing and building scalable data pipelines and cloud-based data platforms.

• Advanced proficiency in SQL.

• Strong programming skills in Python, Scala, or Java.

• Practical experience with modern cloud data platforms like Snowflake, BigQuery, Redshift, Databricks, or similar.

• Familiarity with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent.

• Solid understanding of data modeling, including dimensional modeling and analytics-oriented schema design.

• Experience in building and managing data pipelines that support AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data.

🏝️ Benefits

• Equal opportunity employment.

• Reasonable accommodations provided for any part of the application and hiring process.

• Remote work arrangement.

• Occasional business travel.