Sr. Databricks Developer

MACHINE LEARNING TECHNOLOGIES LLC; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Columbus, OH seeks a Senior Databricks Developer to design and implement high-volume data pipelines on Databricks and AWS. You will build Delta Lake Lakehouse architectures, streaming solutions, and scalable ETL/ELT processes using PySpark and Scala Spark.

The role emphasizes real-time processing, MLOps within Databricks, and Data Mesh principles to optimize performance, cost, and reliability across enterprise data platforms.

Qualifications

• Deep knowledge of Databricks and AWS ecosystems.
• Strong experience with Delta Lake and Lakehouse Architecture.
• Hands-on PySpark and Scala Spark experience.
• Experience with Streaming and Delta Live Tables (DLT).
• MLOps implementation within Databricks.
• Knowledge of Data Mesh architecture.
• Advanced cost optimization and performance engineering.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Databricks and AWS.
• Implement and optimize Delta Lake and Lakehouse architecture.
• Develop high-volume ETL/ELT pipelines using PySpark and Scala Spark.
• Build and manage high-volume, production‑grade data processing workflows.
• Implement real-time and streaming data pipelines using Databricks and Delta Live Tables (DLT).
• Implement and support MLOps solutions within the Databricks ecosystem.
• Apply Data Mesh architecture principles to enterprise data platforms.
• Optimize data processing workloads for performance, scalability, and cost efficiency.
• Monitor and troubleshoot production data pipelines to ensure reliability and data quality.
• Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

Skills

Databricks & AWS

Delta Lake

Lakehouse Architecture

PySpark

Scala Spark

DLT (Delta Live Tables)

MLOps in Databricks

Data Mesh

Cost optimization

Production-grade ETL/ELT

Tools

Lakeflow

Lakebase

Job description

Job Overview

Job ID: J53636

Job Title: Sr. Databricks Developer

Location: Columbus, OH

Duration: 9 Months + Extension

Domain Exposure: Pharmaceuticals

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

We are seeking an experienced Senior Databricks Developer with strong expertise in Databricks and AWS ecosystems, large-scale data engineering, and modern Lakehouse architecture. The ideal candidate should have hands‑on experience building high-volume, production‑grade ETL/ELT pipelines, streaming solutions, and scalable data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Databricks and AWS.
• Implement and optimize Delta Lake and Lakehouse architecture.
• Develop high-performance ETL/ELT pipelines using PySpark and Scala Spark.
• Build and manage high-volume, production‑grade data processing workflows.
• Implement real‑time and streaming data pipelines using Databricks and Delta Live Tables (DLT).
• Implement and support MLOps solutions within the Databricks ecosystem.
• Apply Data Mesh architecture principles to enterprise data platforms.
• Optimize data processing workloads for performance, scalability, and cost efficiency.
• Monitor and troubleshoot production data pipelines to ensure reliability and data quality.
• Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

Mandatory Skills

• Deep knowledge of Databricks and AWS ecosystems.
• Strong experience with Delta Lake and Lakehouse Architecture.
• Knowledge of Lakeflow and Lakebase.
• Hands‑on expertise in PySpark and Scala Spark.
• High-volume production‑grade Databricks ETL/ELT engineering.
• Experience with Streaming and Delta Live Tables (DLT).
• MLOps implementation and experience within Databricks.
• Knowledge of Data Mesh architecture.
• Advanced cost optimization and performance engineering.
• Strong experience as a Databricks and AWS Data Engineer

Equal Opportunity Employer

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.