Hybrid Data Analyst/Engineer (Python, SQL, Snowflake)

Apex Systems; McLean (VA); Hybrid; USD 76,000 - 79,000; Full time

Benefits offered by this job

ESPP (Employee Stock Purchase Program)

401(k) plan with company match

Health Savings Account (HSA)

Employee Assistance Program (EAP) with

Job summary

Everforth Apex Systems is seeking a Data Analyst with a Data Engineering focus to drive data initiatives in a hybrid McLean/Richmond environment. You will write Python, refactor code, and automate data processing, reporting, and migration activities.

The role requires strong SQL skills and hands-on Databricks/Snowflake experience, with collaboration across product, process, and technology teams in an Agile setting.

Qualifications

• Professional experience in data engineering or a related data platform role.
• Strong Python scripting, refactoring, and automation skills.
• Proficiency in SQL for querying and data manipulation.
• Hands-on experience with Databricks and Snowflake.

Responsibilities

• Manage data projects from requirements to execution and delivery.
• Develop, refactor, and maintain Python scripts for data processing, controls, and migration.
• Use Python and SQL to analyze, validate, and manage complex datasets.
• Build data workflows using Snowflake and Databricks; support data migrations.

Skills

Python scripting

SQL queries

Databricks

Snowflake

AI-assisted tools

Agile practices

Tools

PySpark

GitHub Copilot

Job description

Everforth Apex Systems is seeking a Data Analyst with a Data Engineering focus to drive data initiatives in a hybrid McLean/Richmond environment. You will write Python, refactor code, and automate data processing, reporting, and migration activities.

The role requires strong SQL skills and hands-on Databricks/Snowflake experience, with collaboration across product, process, and technology teams in an Agile setting.