Databricks Data Engineer

Valiant Technologies LLC; Harrisburg (Dauphin County); On-site; USD 63,000 - 89,000; Part time

Job summary

Valiant Technologies LLC in Harrisburg, PA is seeking a Databricks Data Engineer for a 10-month contract (C2C/1099) to design and implement a scalable Sales Data Platform on Databricks (AWS). The role is hands-on and architecture-driven, focusing on data ingestion, transformation, modelling, and optimization.

You will define end-to-end Lakehouse architecture, Bronze/Silver/Gold medallion patterns, and scalable ingestion; work with data engineers and source teams to deliver governed datasets.

Qualifications

• Experience designing and implementing Lakehouse architectures on Databricks (AWS).
• Hands-on data ingestion, transformation, modelling, and optimization at scale.
• Building PySpark-based data pipelines with ACID transactions and scalable ingestion.

Responsibilities

• Define end-to-end Lakehouse architecture for Sales data domains.
• Design Bronze/Silver/Gold medallion architecture and data models.
• Develop scalable batch and incremental ingestion patterns.
• Build fault-tolerant PySpark pipelines with CDC and watermarking.
• Optimize joins, aggregations, and window functions for performance.

Job description

Job Title :Databricks Data Engineer
Job Type : C2C/1099 Contract
Location :Harrisburg, PA
Duration :10 months
Bill Rate : $55/Hr on c2c

Role Summary

• We are seeking a Databricks Engineer to lead the design and implementation of a scalable Sales Data Platform as part of the One Data initiative on Databricks running on AWS.
• The role is hands-on and architecture-driven, focused on data ingestion, transformation, modelling, and optimization using modern Lakehouse patterns.
• The architect will work closely with data engineers, source system teams, and downstream consumers to deliver high-quality, governed, and performance-optimized sales datasets.
• Define end-to-end Lakehouse architecture on Databricks (AWS) for Sales data domains.
• Design medallion architecture (Bronze / Silver / Gold) aligned with One Data standards.
• Establish data modelling standards for Sales facts, dimensions, hierarchies, and aggregations.
• Define scalable ingestion patterns for batch and incremental loads.
• Drive performance, scalability, and cost optimization best practices.
• Build and guide development of PySpark-based data pipelines in Databricks.
• ACID transactions.
• Design and optimize large-scale joins, aggregations, and window functions.
• Implement CDC and incremental processing using watermarking and change detection.
• Ensure idempotent, restart able, and fault-tolerant pipelines.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.