Lead Data Engineer - Databricks, Snowflake & AWS

hackajob; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health Care Coverage

On-site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

hackajob is seeking a senior data/software engineer to lead the design and development of secure, scalable data solutions and ETL pipelines on Databricks, Snowflake, and AWS. You will architect data flows, promote best practices, and ensure robust data governance across complex environments.

The role requires guiding junior engineers in an agile team, driving adoption of AI-assisted engineering practices, data migration, API-driven development, and CI/CD pipelines to accelerate delivery and

Qualifications

• 8+ years of experience in software or data engineering
• Advanced proficiency in Python, Spark, and AWS
• Experience with data migration, API-driven development, and CI/CD pipelines

Responsibilities

• Lead design and development of secure, scalable data solutions and ETL pipelines on Databricks, Snowflake, and AWS
• Provide technical guidance to junior engineers within an agile team and promote AI-assisted engineering practices

Skills

Python

Databricks

Snowflake

Spark

AWS

SQL

NoSQL

Terraform

CI/CD

API Development

Fast API

AWS Lambda

Git

Jenkins

Spinnaker

Data Modeling

Tools

Databricks

Snowflake

AWS

Spark

Terraform

Jenkins

Spinnaker

Job description

hackajob is seeking a senior data/software engineer to lead the design and development of secure, scalable data solutions and ETL pipelines on Databricks, Snowflake, and AWS. You will architect data flows, promote best practices, and ensure robust data governance across complex environments.

The role requires guiding junior engineers in an agile team, driving adoption of AI-assisted engineering practices, data migration, API-driven development, and CI/CD pipelines to accelerate delivery and