Lead Data Engineer: AWS & Python for Scalable Pipelines

JIT Global Freight Solution P Ltd; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase in Columbus, OH seeks a Lead Data Engineer to drive data collection, storage, and analytics solutions using Python and AWS. You will lead a team, shape architecture, and deliver secure production code.

The role requires 5+ years in data engineering, strong Python and AWS experience, and mentoring skills; collaboration with analysts and stakeholders in an agile setting will enable scalable data platforms.

Qualifications

• Formal training or certification on data engineering concepts and 5+ years applied experience.

Responsibilities

• Provide direction, oversight, and coaching for a team of engineers on tasks of increasing complexity.
• Design, develop, and troubleshoot data pipelines and architectures.
• Collaborate with data analysts, data scientists, and stakeholders to translate data requirements into solutions.
• Work in an Agile development environment with product managers and SREs.
• Develop secure, high-quality production code and review others’ work.
• Serve as subject matter expert and advocate for end-to-end Development Life Cycle practices.
• Influence decisions to leverage leading-edge technologies in data management and ML.
• Stay current with data management, AI, and security trends.

Skills

Python

Pandas

Boto3

PySpark

Jupyter Notebooks

AWS Services

Data Pipelines

Mentoring

Agile Methodologies

Education

Bachelor’s degree in data science, CS, IS, Statistics

Tools

AWS Glue

Amazon S3

Kafka

Kubernetes

Snowflake

Databricks

Job description

JPMorgan Chase in Columbus, OH seeks a Lead Data Engineer to drive data collection, storage, and analytics solutions using Python and AWS. You will lead a team, shape architecture, and deliver secure production code.

The role requires 5+ years in data engineering, strong Python and AWS experience, and mentoring skills; collaboration with analysts and stakeholders in an agile setting will enable scalable data platforms.