Software & Analytics Engineer
RemoteHunter · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Design and develop Python analytical applications.
- Build and manage data pipelines and SQL databases.
- Create dashboards and interactive data interfaces.
- Implement software best practices and collaborate with teams.
- Support application lifecycle and ensure secure development.
About the role
About Our Client
MetroSys operates in the technology industry, focusing on developing data-driven applications and analytical platforms. The organization addresses challenges related to transforming complex data into actionable intelligence to support advanced decision-making and operational insights.
About the Opportunity
The Software & Analytics Engineer role involves designing, developing, and supporting scalable, secure, and user-friendly software solutions that enable data-driven decision-making. This position plays a critical role in translating business and analytical requirements into production-ready applications, contributing to the organization's ability to generate operational insights.
Responsibilities
- Design, develop, and maintain Python-based analytical applications supporting reporting, planning, and decision-making
- Build and support data pipelines and workflows including ingestion, transformation, validation, and integration
- Develop and optimize SQL queries, database schemas, and data access patterns for performance and scalability
- Create user-facing dashboards, visualizations, and analytical interfaces for data exploration
- Translate complex analytical requirements into scalable, maintainable software solutions
- Implement software development best practices such as version control, testing, and code reviews
- Support application lifecycle management including enhancements, troubleshooting, and optimization
- Collaborate with technical teams and stakeholders to define requirements and deliver solutions
- Ensure secure development practices and proper handling of data and dependencies
- Document application architecture, workflows, and operational processes
Requirements
- Minimum 5 years experience in software engineering or application development
- Strong expertise in Python development
- Experience building data-driven or analytical applications including dashboards and interactive tools
- Strong knowledge of SQL, relational databases, data pipelines, and application architecture principles
- Experience with modern frameworks and tools such as Flask, FastAPI, Dash, or Streamlit
- Familiarity with version control, CI/CD pipelines, and automated testing
- Strong problem-solving skills and ability to work in collaborative, fast-paced environments
- Excellent communication and documentation skills
Preferred Qualifications
- Experience with data visualization tools and libraries (Plotly, Dash)
- Familiarity with cloud or modern data platforms
- Experience supporting decision-support or analytical systems
- Exposure to simulation modeling or scenario-based analysis
- Experience in client-facing or consulting roles
Pay Range and Compensation Package
The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.
Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Key skills/competency
- Software Engineering
- Analytics Engineering
- Python Development
- SQL
- Data Pipelines
- Dashboards
- Data Visualization
- Application Architecture
- CI/CD
- Cloud Platforms
Skills & topics
- Software Engineer
- Analytics Engineer
- Python
- SQL
- Data Pipelines
- Dashboards
- Data Visualization
- Application Development
- Cloud Platforms
- CI/CD
How to get hired
- Tailor your resume: Highlight Python, SQL, data pipelines, and analytical application development experience.
- Showcase your portfolio: Include projects demonstrating dashboard creation and data visualization skills.
- Prepare for technical interviews: Review Python coding, SQL query optimization, and system design.
- Demonstrate collaboration: Be ready to discuss teamwork and communication in past roles.
- Understand the company: Research MetroSys's focus on data-driven applications and operational insights.
Technical preparation
Master Python for data analysis and application development.,Optimize SQL queries and database schema design.,Practice building dashboards with Flask or Dash.,Understand data pipeline concepts and tools.
Behavioral questions
Describe a complex data problem you solved.,How do you collaborate with non-technical stakeholders?,Tell me about a time you improved a system.,How do you ensure code quality and documentation?
Frequently asked questions
- What are the key technologies used by MetroSys for their data-driven applications?
- MetroSys focuses on Python for development, SQL for databases, and utilizes modern frameworks like Flask, FastAPI, Dash, or Streamlit for building analytical applications and user-facing dashboards.
- What level of experience is required for the Software & Analytics Engineer role at MetroSys?
- The role requires a minimum of 5 years of experience in software engineering or application development, with strong expertise in Python and SQL.
- Does MetroSys offer opportunities for professional development in cloud or data platforms?
- While not strictly required, familiarity with cloud or modern data platforms is preferred, suggesting opportunities for candidates to leverage and grow their skills in these areas.
- How does MetroSys handle the compensation for the Software & Analytics Engineer position?
- The pay range and compensation package are determined based on the candidate's experience, skills, and other relevant factors, indicating a competitive and individualized offer.
- What is the typical work environment like at MetroSys, based on the job description?
- The role is described as collaborative and fast-paced, requiring strong problem-solving skills and excellent communication, suggesting a dynamic and team-oriented environment.
- What specific data visualization tools are preferred for this Software & Analytics Engineer role?
- Experience with data visualization tools and libraries such as Plotly and Dash is considered a preferred qualification for this role.
- How does RemoteHunter assist candidates applying for the Software & Analytics Engineer role?
- RemoteHunter connects exceptional candidates with leading employers like MetroSys, guiding job seekers to complete their full application directly through the hiring company's career page or ATS.
- What kind of analytical applications does this Software & Analytics Engineer develop?
- The engineer will develop Python-based analytical applications supporting reporting, planning, and decision-making, translating complex analytical requirements into production-ready software solutions.