Analytics Engineer: Build scalable data pipelines (Remote)

Insight Global; Atlanta (GA); Remote; USD 76,000 - 90,000; Full time

Job summary

Insight Global is seeking a Senior Data Engineer / Analytics Engineer to bridge business needs and technical execution, owning data processes for eCommerce and operations. You will build scalable data pipelines, dashboards, and data applications, collaborating with stakeholders to understand challenges and deliver impactful solutions.

You will translate business requirements into technical solutions, own the end-to-end delivery, and work with Python, SQL, Snowflake, and Streamlit to create

Qualifications

• Experience in data engineering or analytics engineering.
• Hands-on Python development.
• Strong SQL skills.
• Experience with multiple data sources and datasets.
• Experience working with business stakeholders might be beneficial.

Responsibilities

• Partner with business and eCommerce stakeholders to understand processes, requirements, reporting needs, and pain points.
• Translate requirements into scalable technical data solutions.
• Own solutions from requirements gathering through delivery and support.
• Design, build, and maintain reliable data pipelines and ETL/ELT processes.
• Develop data processing and automation using Python and SQL.
• Work with Snowflake to transform, model, and prepare data for analytics.
• Build interactive dashboards using Streamlit.
• Replace manual, inefficient processes with automated solutions.
• Support existing data processes while developing new capabilities.
• Troubleshoot data quality, pipeline, reporting, and production issues.
• Define KPIs with stakeholders and ensure dashboards provide actionable insights.
• Communicate technical concepts clearly.

Skills

Data engineering

Python

SQL

ETL/ELT

Snowflake

Dashboards

Streamlit

dbt

MDM concepts

Stakeholder mgmt

Remote work

eCommerce data

Tools

Snowflake

dbt

Streamlit

Job description

Insight Global is seeking a Senior Data Engineer / Analytics Engineer to bridge business needs and technical execution, owning data processes for eCommerce and operations. You will build scalable data pipelines, dashboards, and data applications, collaborating with stakeholders to understand challenges and deliver impactful solutions.

You will translate business requirements into technical solutions, own the end-to-end delivery, and work with Python, SQL, Snowflake, and Streamlit to create