Job Description

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

This role offers an exciting opportunity to leverage advanced data engineering expertise to enhance data architecture, streamline data ingestion, and enable actionable insights across a rapidly growing platform. You will work in a collaborative, remote-friendly environment, partnering with cross-functional teams to ensure data quality, scalability, and accessibility. The position provides both technical and strategic impact, as your work directly supports product innovation, business decision-making, and global growth initiatives. Ideal candidates thrive in a dynamic environment, enjoy solving complex problems, and take ownership of delivering high-quality, data-driven solutions.

Accountabilities

• Design, implement, and maintain efficient data pipelines for ingestion, transformation, and storage across cloud platforms.
• Build solutions for data transport, reconciliation, and eventual consistency tracking for internal and external stakeholders.
• Analyze, parse, and visualize large datasets to generate actionable insights that inform business and product decisions.
• Identify, troubleshoot, and resolve anomalies related to data availability, integrity, security, and privacy.
• Conduct architecture and systems reviews, ensuring best practices in data design, scalability, and cost efficiency.
• Collaborate with engineering teams to provide guidance, education, and support on data architecture and governance.
• Participate in data initiatives across the platform, including improvements in reliability, performance, and compliance.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of experience with programming languages such as Python, JavaScript/Node.js, and/or Go.
• Strong knowledge of data structures, data warehousing, and efficient coding practices.
• Experience with SQL and NoSQL databases, cloud environments (AWS, GCP), and ETL processing.
• Familiarity with Big Data tools such as BigQuery, S3, Kafka, Kinesis, and batch processing pipelines.
• Experience with data management, governance, security, and privacy (including PII and regulatory compliance).
• Familiarity with analytical and data visualization tools (e.g., Google Data Studio).
• Nice-to-have: certifications in cloud or database technologies, knowledge of SOLID principles, Terraform experience, and HIPAA compliance awareness.

Benefits

• Competitive salary with stock options.
• Comprehensive U.S. healthcare coverage (medical, dental, vision).
• 401K plan and retirement benefits.
• Remote-friendly work environment with WiFi and mobile reimbursement.
• Generous vacation and paid time off policies.
• Opportunities for professional growth and contributing to a cutting-edge, AI-driven platform.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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