Data Developer

Innovatus Technology Consulting•San Diego, CA

3d•$130,000 - $150,000•Hybrid

About The Position

Data Developer (Hybrid | Secret Clearance Required) Company: Innovatus Technology Consulting Client: U.S. Navy / Naval Information Warfare Systems Command (NAVWAR) Location: San Diego, CA (Hybrid – 1-2 days per week onsite) Clearance: Active Secret Clearance Required Citizenship: U.S. Citizenship Required About Innovatus Technology Consulting Innovatus Technology Consulting delivers innovative technology, data, and digital transformation solutions to federal government and defense customers. We are seeking a Data Developer to support mission-critical modernization initiatives for the U.S. Navy's Naval Information Warfare Systems Command (NAVWAR). This role will contribute to enterprise data engineering, advanced analytics, artificial intelligence, and data visualization efforts that enhance operational readiness and decision-making. This is a hybrid position requiring 1-2 days per week onsite in San Diego, California, with the remainder of work performed remotely. Position Overview 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.

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.
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

Nice To Haves

CompTIA Security+ or equivalent DoD 8570/8140 IAT Level II certification.
Experience with Palantir Foundry or similar enterprise data integration platforms.
Experience supporting Department of Defense (DoD) or federal government environments.
Familiarity with: Databricks, Jupyter Notebooks, Tableau, Qlik, Azure Data Studio
Experience operating in Agile development environments.
Prior NAVWAR, Navy, or defense-sector experience.

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), 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.