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Data Engineer (Remote - US) at Jobgether. 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.. . . 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.. . . Company Location: United States.