Lead Software Engineer - Data Engineer

hackajob

Jersey City (NJ)

On-site

USD 140,000 - 210,000

Full time

14 days+

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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 looking for a Lead Software Engineer to drive creative software solutions and critical technology initiatives across multiple technical areas in Jersey City. You will lead engineering efforts and champion AI-assisted practices to enhance code quality and operational outcomes.

The position requires 5+ years in software and data engineering with Python and Spark expertise, plus experience with AWS data management and a strong commitment to responsible AI in engineering workflows.

Qualifications

  • 5+ years of experience in software engineering and data engineering.
  • Advanced proficiency in Python and Spark technologies.
  • Experience with AWS data management patterns.
  • Strong understanding of responsible AI use in engineering workflows.

Responsibilities

  • Lead software engineering initiatives across multiple technical areas.
  • Drive team adoption of AI-assisted engineering practices to improve code quality and outcomes.
  • Deliver scalable, robust data pipelines and production-grade software.

Skills

Python
PySpark
Spark SQL
Data Engineering
Software Engineering
AI-Assisted Development
Java
SQL

Tools

AWS
Data Pipeline
Apache Iceberg
Delta Lake
Kafka
Spark Structured Streaming

Job description

As a Lead Software Engineer, you will execute creative software solutions and conduct critical technology solutions across multiple technical areas. You will also drive team adoption of AI-assisted engineering practices to improve code quality and operational outcomes.

Requirements

The role requires 5+ years of experience in software engineering and data engineering, with advanced proficiency in Python and Spark technologies. Candidates should also have experience with AWS data management patterns and a strong understanding of responsible AI use in engineering workflows.

Key Skills

Python, PySpark, Spark SQL, Data Engineering, Software Engineering, AI-Assisted Development, AWS, Data Pipeline, Apache Iceberg, Automation, Continuous Delivery, Kafka, Delta Lake, Spark Structured Streaming, Java, SQL

Benefits
  • Health Care Coverage
  • On-Site Health and Wellness Centers
  • Retirement Savings Plan
  • Backup Childcare
  • Tuition Reimbursement
  • Mental Health Support
  • Financial Coaching
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