Analytics Engineer

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

Job Description

We are looking for a Senior Data Engineer / Analytics Engineer who can bridge the gap between business needs and technical execution.This role requires someone who is equally comfortable meeting with business stakeholders to understand operational challenges and requirements as they are rolling up their sleeves to build the technical solution.The ideal candidate will take ownership of existing eCommerce and operational data processes, help modernize processes that currently rely on manual or short-term solutions, and build scalable data pipelines, dashboards, and data applications.This is not a purely heads-down Data Engineering role. We need someone who can independently understand the business problem, ask the right questions, translate those needs into technical requirements, and then personally build and deliver the solution.

Key Responsibilities

• Partner directly with business and eCommerce stakeholders to understand business processes, requirements, reporting needs, and operational pain points.
• Translate business requirements into scalable technical data solutions.
• Own solutions from initial requirements gathering and data discovery through development, delivery, and ongoing support.
• Design, build, and maintain reliable data pipelines and ETL/ELT processes.
• Develop data processing and automation solutions using Python and SQL.
• Work with Snowflake to transform, model, and prepare data for analytics and operational use cases.
• Build interactive dashboards and data applications, ideally using Streamlit.
• Help replace manual, inefficient, or temporary processes with more sustainable and automated solutions.
• Support existing operational data processes while also developing new capabilities.
• Troubleshoot data quality, pipeline, reporting, and production issues.
• Partner with business stakeholders to define KPIs and ensure dashboards provide meaningful and actionable insights.
• Communicate technical concepts clearly to both technical and non-technical audiences.

Pay Rate: $55.00-$65.00 an hour depending on skills and experience.

Skills and Requirements

• Strong experience in Data Engineering, Analytics Engineering, or a similar data-focused position.
• Strong hands-on development experience with Python.
• Strong SQL skills.
• Experience designing and developing data pipelines and ETL/ELT solutions.
• Experience developing dashboards, analytics solutions, or business-facing data applications.
• Demonstrated experience working directly with business stakeholders to gather and clarify requirements.
• Ability to understand a business problem and independently translate it into an appropriate technical solution.
• Experience working with multiple data sources and transforming raw data into usable datasets.
• Experience troubleshooting production data and operational issues.
• Strong communication and problem-solving skills.
• Ability to work effectively and independently in a remote environment.
• Strong Snowflake experience.
• Experience building applications or interactive dashboards using Streamlit.
• Experience with dbt for data transformation and modeling.
• Experience with Master Data Management (MDM) concepts or platforms.
• Previous experience supporting eCommerce, retail, product, or operational data.
• Experience automating manual business processes and developing self-service analytics solutions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].