Databricks Engineer: Production Data Pipelines & Lakehouse

Techstra Solutions; Pittsburgh (Allegheny County); On-site; USD 110,000 - 165,000; Full time

Job summary

Techstra Solutions is seeking a Mid-Level Databricks Engineer to design, develop, and support scalable data solutions on Databricks and cloud data platforms. You will build reliable data pipelines, implement lakehouse architectures, and ensure data quality for analytics and AI use cases.

The ideal candidate has 5+ years of hands-on Databricks experience, strong Python/PySpark, SQL, Delta Lake, and cloud services, and can work independently within established governance and CI/CD standards.

Qualifications

• 8-10 years of experience in data engineering, ETL/ELT development, or related data platform development.
• 5+ years of hands-on Databricks experience preferred.
• Strong proficiency with Python / PySpark, SQL, Apache Spark, Delta Lake, and Databricks notebooks, jobs/workflows, and compute.

Responsibilities

• Design, build, test, and maintain data pipelines using Databricks, PySpark, Python, and SQL.
• Develop ingestion and transformation processes across Bronze, Silver, and Gold layers using Medallion Architecture principles.
• Build and optimize Delta Lake tables, including data partitioning, schema management, and performance tuning.
• Develop batch and streaming pipelines using Databricks capabilities such as Auto Loader, Structured Streaming, Workflows, and Delta Live Tables/Lakeflow Declarative Pipelines, where appropriate.
• Integrate structured and semi-structured data from databases, APIs, files, cloud storage, and enterprise applications.
• Implement data quality validation, reconciliation, exception handling, monitoring, and logging.
• Work with Unity Catalog to support data governance, access controls, metadata management, lineage, and data discovery.
• Develop reusable frameworks and components for ingestion, transformation, and data validation.
• Troubleshoot pipeline failures and performance issues and implement sustainable fixes.
• Participate in code reviews and follow established development, testing, security, and deployment standards.
• Support CI/CD practices for Databricks development and collaborate with DevOps teams on automated deployments.
• Work closely with data architects, analysts, data scientists, governance teams, and business stakeholders.
• Create and maintain technical documentation, data mappings, pipeline specifications, and operational support documentation.

Skills

Databricks

SQL

Python/PySpark

Delta Lake

Cloud data services

Git CI/CD

Education

B.S. in Computer Science or related field

Databricks Certification

Tools

Databricks notebooks

Medallion Architecture

Auto Loader

Structured Streaming

Unity Catalog

CI/CD pipelines

Job description

Techstra Solutions is seeking a Mid-Level Databricks Engineer to design, develop, and support scalable data solutions on Databricks and cloud data platforms. You will build reliable data pipelines, implement lakehouse architectures, and ensure data quality for analytics and AI use cases.

The ideal candidate has 5+ years of hands-on Databricks experience, strong Python/PySpark, SQL, Delta Lake, and cloud services, and can work independently within established governance and CI/CD standards.