Apply Now: Senior Data Engineer

Company Description Blend is a premier AI services provider committed to co-creating meaningful impact for its clients through the power of data science AI technology and people With a mission to fuel bold visions Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy We believe that the power of people and AI can have a meaningful impact on your world creating more fulfilling work and projects for our people and clients For more information visit We re looking for a skilled Senior Data Engineer with strong experience in distributed systems Python Scala and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client This role is part of a strategic initiative to enable robust analytics BI and operational workflows across both on-premise and cloud environments In this role you ll work closely with both Blend s internal teams and client stakeholders to build and optimize data pipelines support data modeling efforts and ensure reliable data flows for analytics reporting and business decision-making This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale modern data environments while gaining exposure to advanced architectures and tooling You will Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs Build maintain and optimize data pipelines and transformations using Python SQL and Spark Manage large-scale data storage and processing with Iceberg Hadoop and HDFS Develop and maintain dbt models to ensure clean reliable and well-structured data Implement robust data ingestion processes integrating with third-party APIs and on-premise systems Collaborate with cross-functional teams to align on business goals and technical requirements Contribute to documentation and continuously improve engineering and data quality processes Qualifications 4 years of experience in data engineering including at least 1 year with on-premise systems Proficiency in Python for data workflows and pipeline development Preferred Qualifications Master s degree in Data Science or a related field Experience with Airflow or other orchestration tools Hands-on experience with Cursor Copilot or similar AI-powered developer tools Strong experience with SQL Spark Iceberg Hadoop HDFS and dbt Familiarity with third-party APIs and data ingestion processes Excellent communication skills with the ability to work independently and engage effectively with both technical and non-technical stakeholders Additional Information Our Perks and Benefits Learning Opportunities Certifications in AWS we are AWS Partners Databricks and Snowflake Access to AI learning paths to stay up to date with the latest technologies Study plans courses and additional certifications tailored to your role Access to Udemy Business offering thousands of courses to boost your technical and soft skills English lessons to support your professional communication Mentoring and Development Career development plans and mentorship programs to help shape your path Celebrations Support Special day rewards to celebrate birthdays work anniversaries and other personal milestones Company-provided equipment Flexible working options to help you strike the right balance