Blend360
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Pipelines. Design, develop, and optimize end-to-end data pipelines and platforms using Azure Databricks, ensuring data quality, performance, and reliability. Refactor legacy code into modular, reusable components and consolidate key KPIs into standardized data structures to support evolving analytics needs. Collaborate with analytics and engineering teams to improve data processes and architecture, enabling data-driven decision-making.”
What You'll Achieve.
Deliver reliable, high-performance data solutions that enable data-driven decision-making. Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. Build and maintain scalable data models to support current and future journey analytics use cases.
Industry & Context.
data modeling; legacy code refactoring
What They're Looking For.
Must Have
4+ years of experience in Data Engineering. Experience working with GitHub repositories and version control workflows. Hands-on experience developing and maintaining data pipelines in Azure Databricks. Experience with SQL and large-scale data processing. Proven experience refactoring and maintaining legacy codebases. Hands-on experience with Apache Spark (PySpark preferred). Experience working with dbt for data transformation and modeling. Ability to work in cross-functional environments and contribute to continuous improvement. Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision.
Nice to Have
Understanding and hands-on experience with Medallion Architecture (Bronze, Silver, Gold).
What You'll Do.
Design, develop, and optimize end-to-end data pipelines and platforms using Azure Databricks, ensuring data quality, performance, and reliability.
Refactor legacy code into modular, reusable components and consolidate key KPIs into standardized data structures to support evolving analytics needs.
Collaborate with analytics and engineering teams to improve data processes and architecture, enabling data-driven decision-making.
How You'll Work.
Team & Collaboration
Work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions. Collaborate with analytics and engineering teams to improve data processes and architecture.
Communication Scope
English lessons
Full Job 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 [www.blend360.com](http://www.blend360.com/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience i
Applying for this Senior Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Blend360?
Real rants from real employees. Read before you apply.