Junior Data Engineer

Greystones Group is a fast-growing woman-owned small business supporting ourNation’s Defense and Critical Infrastructure Agencieswith best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions. We are looking for dedicated and motivated candidates that can grow with the company. At Greystones, we recognize that everyone brings their own important skill sets and unique talents to create a highly competent team to deliver quality solutions. We ensure that each member’s needs are addressed effectively, and our employees are not just a number.

We offer
a close-knit community that ensures your growth and development in a setting that provides world-class support to our customers. 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 is an excellent opportunity for an early-career professional 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 growing their career in data engineering and analytics. Experience or exposure to IRS or other federal government data is preferred. Remote Salary will be determined based on experience. Range: $60K-$75K Benefits 401(k) with matching Health, dental, and vision insurance Life insurance Flexible spending account Flexible schedule Paid time off Referral program Retirement plan

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 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 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 Greystones Group is an Equal Opportunity Employer. Greystones complies with applicable federal, state, and local employment laws and does not discriminate against qualified individuals on the basis of 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. If you are a qualified individual with a disability o