Remote Junior Data Engineer | Government Data & Dashboards

Greystones; United States; Remote; USD 60,000 - 75,000; Full time

Benefits offered by this job

401(k) with matching

Health, dental, and vision insurance

Life insurance

Flexible spending account

Flexible schedule

Paid time off

Referral program

Retirement plan

Job summary

Greystones Group seeks a Junior Data Engineer to support data-driven decision-making through collecting, processing, and visualizing large datasets from government sources. The role offers growth with experienced data engineers and data scientists, with remote work options and a salary range corresponding to experience.

The ideal candidate has a fresh or early-career background in data-focused fields, strong Python/SQL basics, and familiarity with data visualization tools and cloud platforms.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
• 1-3 years of experience in data engineering, data analysis, software development, or a related technical area; internships, co-ops, and relevant academic projects may be considered
• Working knowledge of Python and SQL
• Familiarity with Git and basic software development practices
• Basic understanding of databases, data structures, data processing, and software development concepts
• Ability to obtain a Federal Public Trust Clearance
• Exposure to JavaScript or web application development
• Some coursework, training, or hands‑on exposure to cloud platforms such as AWS, Azure, or GCP
• Some familiarity with data visualization tools such as Tableau, Power BI, or Python plotting libraries
• Basic understanding of Agile/Scrum development methodologies
• Exposure to relational databases and SQL-based data querying
• Exposure to APIs, ETL/ELT processes, or data integration concepts
• Exposure to Python data libraries such as Pandas or NumPy is desirable
• Exposure to machine learning concepts or workflows is desirable
• Interest in data analytics, fraud detection, compliance, or working with regulated data
• Ability to follow established technical, security, and development practices and apply feedback from senior team members

Responsibilities

• Support senior team members in meetings with Government clients to understand business needs, data sources, and analysis plans
• Assist data scientists and senior engineers with the development, testing, and maintenance of data pipelines supporting data engineering and machine learning
• Assist software developers in building and maintaining tools for data visualization and analysis
• Assist with the development and testing of responsive web applications
• Write clean, maintainable code in Python and JavaScript under the guidance of senior engineers
• Participate in code reviews to learn and apply security and performance best practices
• Participate in Agile/Scrum ceremonies and collaborate with cross-functional teams
• Write and execute unit and integration tests under established development practices
• Assist with debugging and troubleshooting code and maintain technical documentation
• Use Git for version control and support application deployment processes
• Assist with production support and application health monitoring
• Gather, clean, and explore datasets to identify patterns, trends, and anomalies
• Support exploratory data analysis and data mining using government data sources
• Assist in preparing reports, dashboards, and presentations summarizing analytical findings

Skills

Python

SQL

Git

JavaScript

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field

Tools

Tableau

Power BI

AWS/Azure/GCP

Job description

Greystones Group seeks a Junior Data Engineer to support data-driven decision-making through collecting, processing, and visualizing large datasets from government sources. The role offers growth with experienced data engineers and data scientists, with remote work options and a salary range corresponding to experience.

The ideal candidate has a fresh or early-career background in data-focused fields, strong Python/SQL basics, and familiarity with data visualization tools and cloud platforms.