Data Engineer, Junior — United States

About the Company

Greystones Group is a fast-growing, woman-owned small business providing technical support to the nation's defense and critical infrastructure agencies. The company delivers artificial intelligence and big data analytics capabilities, including mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions.

Greystones provides innovative, practical, and cost-effective technical solutions to military and federal government customers. Its work supports the U.S. warfighter and contributes to improving the material readiness of the armed forces.

About the Role

Greystones Group is seeking a detail-oriented and motivated Junior Data Engineer to support data-driven decision-making through the collection, processing, analysis, and visualization of complex datasets.

This remote position offers early-career professionals an opportunity to gain hands-on experience working with large-scale government data while developing technical skills alongside experienced data engineers and data scientists. The ideal candidate is eager to learn, enjoys solving problems, and is interested in building a career in data engineering and analytics. Experience or exposure to IRS or other federal government data is preferred.

Salary

• Salary Range: $60,000–$75,000

• Compensation will be determined based on experience.

Key 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 developing, testing, and maintaining data pipelines for data engineering and machine learning.

• Assist software developers in building and maintaining tools for data visualization and analysis.

• Support 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 and apply security and performance best practices.

• Take part in Agile/Scrum ceremonies and collaborate with cross-functional teams.

• Write and execute unit and integration tests according to established development practices.

• Assist with debugging and troubleshooting code and maintaining 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.

• Help prepare reports, dashboards, and presentations summarizing analytical findings.

Required Qualifications and Skills

• 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.

• Ability to follow established technical, security, and development practices and apply feedback from senior team members.

Additional Skills and Exposure

• Exposure to JavaScript or web application development.

• Coursework, training, or hands-on exposure to cloud platforms such as AWS, Azure, or GCP.

• 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.

• Experience or exposure to IRS or other federal government data is preferred.

Benefits

• 401(k) with matching.

• Health, dental, and vision insurance.

• Life insurance.

• Flexible spending account.

• Flexible schedule.

• Paid time off.

• Referral program.

• Retirement plan.

Work Arrangement

• Workplace: Remote.

Equal Employment Opportunity

Greystones Group is an Equal Opportunity Employer. The company complies with applicable federal, state, and local employment laws and does not discriminate against qualified individuals based on race, color, religion, sex, national origin, disability, protected veteran status, genetic information, or any other status protected by applicable law.

Greystones Group is committed to providing equal employment opportunities to qualified individuals with disabilities and protected veterans in accordance with applicable federal requirements.

Individuals with disabilities or protected veterans who require reasonable accommodation to apply or participate in the application process may contact the Human Resources Department at ••••••••, option #2, or ••••••••.

Greystones Group participates in E-Verify.