We are looking for a Data Engineer or Data Scientist with expertise in data architecture, analysis, and machine learning to join our team.
Description
We are seeking a Data Engineer or Data Scientist with experience in data ingestion, analysis, and machine learning to join our team. In this role, you will work on high-impact projects, collaborating across teams to build data pipelines, develop models, and support advanced analytics that drive strategic decisions for our Federal clients.
A security clearance is preferred for this position.
Responsibilities:
- Data Engineering: Design, develop, and maintain scalable data pipelines, ETL processes, and data infrastructure, with a focus on Databricks for data processing and analytics.
- Data Analysis: Conduct deep data analysis and generate insights to solve complex problems in DoD and commercial environments.
- Model Development: Build, deploy, and optimize machine learning models for predictive analytics, risk assessment, and operational improvements.
- Collaboration: Work closely with cross-functional teams, including software engineers, analysts, and project managers, to align on project objectives and ensure data integrity.
- Data Visualization: Create interactive dashboards and reports using tools like Qlik and other visualization platforms to communicate findings to stakeholders clearly and effectively.
- Security & Compliance: Ensure that all data solutions comply with security, privacy, and regulatory standards, particularly in the Federal sector.
Qualifications:
- Security clearance is preferred for this role to align with Federal project requirementsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer or Data Scientist.
- Proficiency in SQL, Python, and/or R, with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP); Databricks experience is preferred.
- Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis.
- Experience with data visualization tools, with a preference for Qlik and other similar platforms.
- Familiarity with data security and regulatory requirements in Federal and DoD environments is preferred.
- Strong analytical, problem-solving, and communication skills.
What We Offer:
- Opportunity to work on impactful projects in the Federal and Commercial sectors.
- Collaborative and innovative work environment.
- Competitive salary and benefits.
About the Company
SparQ is a cutting-edge technology firm specializing in solutions for both the Private and Public Sectors. Focused on delivering innovative and mission-critical services, SparQ leverages advanced data analytics, artificial intelligence, and machine learning to enhance decision-making and operational capabilities within defense organizations. Our team is dedicated to providing secure, scalable, and customized tools that address the unique challenges faced by defense agencies, enabling them to achieve greater agility, efficiency, and strategic insights.