WHY JOIN USAgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.ABOUT THE ROLEWe are looking for an experienced Senior Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse.
You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers.
This role also uses AI tools like Claude and GitHub Copilot to speed up development.WHAT YOU WILL DO- Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
- Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
- Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
- Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
- Write clean, well-tested Python and SQL; maintain high standardsthrough code review and documentation.
- Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
- Implement data quality, lineage,



and governance controls using Unity Catalog and automated validation checks.
- Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
- Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
- Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.MUST HAVES- 4+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
- Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
- Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
- Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
- Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
- Experience with legacy platform migrations, ETL modernization, or managing data hygiene when porting old systems.
- Strong problem-solving, collaboration, and communication skills, including mentoring junior engineers and explaining data concepts to non-technical stakeholders.




- Familiarity with Unity Catalog, data governance, access control, and PII handling.
- Experience with dbt or an equivalent transformation framework.
- Familiarity with secure coding standards and industry security best practices.
- Experience delivering production data platforms at scale.
- Upper-intermediate English level.NICE TO HAVES- Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure Devops.
- Experience working with relational databases (specifically PostgreSQL) and data persistence concepts.
- Familiarity with logging and monitoring tools (e.G., Dynatrace, CloudWatch, Databricks system tables).
- Experience working in Agile or team-based development environments preferred.PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm- Meaningful, modern projects: build impactful products using modern technologies alongside integral teams and leading brands- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- Well-being & support: access local well-being programs and people-focused support tailored to your location#J-*****-Ljbffr

📌 Senior Databricks Data Engineer Id86297 (Xico)
🏢 Agileengine
📍 Xico