Data Analysis Incorporated

Lead Software Engineer, Full Stack

Data Analysis Incorporated

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftApacheAWSCloudEC2ETLHadoopJavaJavaScriptKubernetesMicroservicesMS SQL ServerNumpyPandasPostgresPySparkPythonRabbitMQReactReduxScikit-LearnSpringSpring BootSpringBootSQLTableauTypeScript

About the role

  • The Lead Software Engineer will serve as a specialist on complex technical and business matters, leading the Software Engineering team in designing, developing, enhancing, and maintaining software applications.
  • This role involves highly independent work and may include team leadership responsibilities.
  • Duties and Responsibilities Lead the design, development, enhancement, and maintenance of full stack applications using the Agile/Scrum development process. Collaborate with client services teams, manufacturing, and other departments, as well as external clients, to define and articulate complex business and technical requirements. Design and define comprehensive solutions for proposed projects, navigating both clear and ambiguous requirements. Prioritize work for self and guide team members to meet milestones and delivery deadlines. Perform other duties as assigned.

Requirements

  • Bachelor’s degree in Information Technology, Business, or a related field required.
  • 7–10+ years of experience in full stack software development, preferably in financial services or fintech environments.
  • Proven track record of designing, developing, and deploying enterprise-grade applications across frontend and backend stacks.
  • Strong leadership skills with demonstrated ability to guide and mentor team members.
  • Deep expertise in relevant departments, workflows, business processes, and the industry.
  • Core Technology Expertise: Frontend: React.js (with Hooks, Context API, Redux, TypeScript) Responsive, accessible, and adaptive UI development with modern web standards Backend: Java Spring Boot (REST APIs, security modules, microservices architecture) Python (Core, PySpark, and scripting for automation, data manipulation, and analytics) Messaging/Integration: RabbitMQ, AWS SQS, AWS SNS for asynchronous messaging and event-driven architectures Cloud & Infrastructure: Hands-on with AWS services, including: Compute & Containers: EC2, ECS, EKS (Kubernetes) Data & Storage: S3 (including Data Lake architectures), Glue, Redshift, Spectrum Automation & Messaging: Lambda, SES, SNS Strong understanding of containerization, CI/CD pipelines, and DevOps best practices Data Engineering & Orchestration: Apache Airflow for workflow orchestration Data lakes, Parquet/ORC formats, ETL/ELT pipelines at scale SQL optimization and performance tuning across PostgreSQL, MS SQL Server, Aurora, and Redshift Optional AI/ML & Analytics Exposure (Preferred but Not Mandatory): Familiarity with AI/ML tools and frameworks such as: AI Technologies: Open AI APIs, Vector Database (like Pinecone). Chatbot, Prompt Engineering, LLM fine Tuning ML Platforms: AWS SageMaker, ML-Flow Libraries: LangChain, LangGraph, scikit-learn, pandas, NumPy, spaCy Data Visualization: Streamlit, Plotly, Tableau, or AWS QuickSight Understanding of MLOps principles (model deployment, monitoring, retraining) KNOWLEDGE, SKILLS AND ABILITIES (KSAS) Strategic thinker with proven leadership in mentoring and guiding engineering teams Effective communicator with the ability to translate technical solutions into business value Strong critical thinking and data-driven decision-making skills Able to adapt to evolving priorities in a fast-paced financial/technology environment High integrity and professionalism, with a commitment to teamwork, collaboration, and continuous learning Working Conditions Must be able to perform the essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each work day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds. Equal Opportunity Employer The work environment characteristics described here are representative of those an employee encounters while performing the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The information in this position description indicates the general nature and level of work to be performed. It is not designed to be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, change in personnel, workload, or technical development). This does not alter the nature of the at-will employment between the employer and employee where either party can end the relationship at any time, for any reason or no reason, with or without notice.