Data Engineer
August 31
🏡 Remote – New York
Description
• As a mid-level Data Engineer, you will play a pivotal role in ensuring the quality, integrity, and security of Kin’s data assets. • You’ll be responsible for building out a data lakehouse for enterprise reporting, which will involve the design and development of data pipelines, modeling raw data for downstream ingestion, and mentoring junior data engineers. • Leading a cross-functional project team with members from AppEng, DataEng, BI, and business stakeholders tasked with designing a solution to produce effective reporting, implementing data validation standards, and QA procedures to ensure effective data lifecycle and management practices. This involves: • Establishing trust and relationships with stakeholders while defining technical requirements, ensuring alignment with business goals • Creating data validation and quality standards and metrics to monitor the accuracy, completeness, and consistency of data • Maintaining a centralized metadata catalog to document data assets, schemas and lineage • Ensure pipelines and storage solutions comply with Kin’s standards on privacy regulations such as GDPR, CCPA, and GLBA • Implementing data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure • Monitor data access logs and audit trails to detect unauthorized access or usage of data
Requirements
• 3+ years of experience in data engineering or data integration with a focus on data modeling • 2+ years of experience with lakehouse architecture • Experience with data pipeline tools and platforms such as dbt, Databricks, FiveTran, and AWS • Experienced programmer using languages such as SQL, Python, and/or Java • Previous experience with databases such as AWS Redshift, MySQL, Postgres, SQL Server, etc • Excellent communication and collaboration skills to engage with stakeholders across different levels of the organization
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