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About the Role

As a Data Developer, you will design, develop, and maintain data pipelines, cloud-based data platforms, analytics solutions, and visualization products that support enterprise IT modernization and digital transformation initiatives. You will collaborate with technical and business stakeholders to transform complex data into actionable insights while leveraging modern cloud, AI/ML, and data engineering technologies.

Responsibilities

• Design, develop, test, and deploy scalable ETL/ELT pipelines to integrate data from multiple enterprise systems.
• Perform data cleansing, normalization, transformation, and enrichment activities to improve data quality and usability.
• Design and maintain Delta Lake architectures and cloud-based data warehouse solutions.
• Develop and optimize SQL and Apache Spark workloads for performance and scalability.
• Implement and support data solutions within Amazon Web Services (AWS) environments.
• Ensure data integrity, governance, and adherence to organizational standards.
• Apply statistical analysis, predictive modeling, and machine learning techniques to address operational and business challenges.
• Design and deploy AI/ML solutions using Python-based technologies including Scikit-Learn, TensorFlow, MLflow, Pandas, and PySpark.
• Research and implement emerging technologies such as Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.
• Develop and maintain APIs and lightweight web applications using Flask or Django.
• Utilize Git and modern software development practices for source control and team collaboration.
• Build interactive dashboards, reports, and visualizations using platforms such as Tableau, Qlik, and Jupyter-based environments.
• Translate technical findings and analytical results into clear, actionable recommendations for leadership and non-technical audiences.
• Present meaningful insights that support data-driven decision-making across the organization.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Data Science, or a related technical field; OR Four (4) or more years of professional experience in data engineering, data science, software development, analytics, or a related discipline in lieu of a degree.
• Active Secret Security Clearance required.
• Ability to maintain clearance throughout employment.
• U.S. Citizenship is required.

Skills

• ETL/ELT pipeline development
• Data integration and normalization
• SQL and query optimization
• Apache Spark and PySpark
• AWS cloud services
• Delta Lake architecture
• Python development
• Statistical analysis and predictive analytics
• Machine learning model development
• Generative AI, LLMs, and RAG architectures
• Scikit-Learn, TensorFlow, MLflow, Pandas
• Flask or Django
• Git version control
• Dashboard and data visualization development
• CompTIA Security+ or equivalent DoD 8570/8140 IAT Level II certification
• Palantir Foundry or similar enterprise data integration platforms
• Department of Defense (DoD) or federal government environments
• Databricks
• Jupyter Notebooks
• Tableau
• Qlik
• Azure Data Studio
• Agile development environments
• NAVWAR, Navy, or defense-sector experience

Location

• San Diego, CA

Work Type

• Hybrid
• Remote

Experience Level

• Four (4) or more years of professional experience in data engineering, data science, software development, analytics, or a related discipline

Education Level

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Data Science, or a related technical field

About the Company

• Innovatus Technology Consulting delivers innovative technology, data, and digital transformation solutions to federal government and defense customers.
• At Innovatus Technology Consulting, you'll work alongside talented professionals supporting critical national security missions while leveraging cutting-edge technologies in cloud computing, artificial intelligence, advanced analytics, and data engineering.
• We offer opportunities for professional growth, meaningful impact, and collaboration on mission-driven solutions.