Greystones Group is a fast-growing woman-owned small business supporting our Nation’s Defense and Critical Infrastructure Agencies with 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 or a protected veteran and require a reasonable accommodation to apply for a position or participate in the application process, please contact our Human Resources Department at 202-644-8998, option #2 , or hr@greystonesgroup.com .
Greystones Group participates in E-Verify.