Middle Data Engineer ID86295

AgileEngine is an Inc. 5000 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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

We are looking for a Middle 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.

- 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 standards through 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.

- Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

- 3+ 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.

- 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.

- 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.

- 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 global 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

Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.