Position: Data Engineer
Location: Remote
Reports To: CEO
The Opportunity:
As a Data Engineer, you'll develop and optimize the data systems that power our applications. Initially, you'll focus on geospatial data projects, building scalable pipelines and robust back-end services to handle location-based datasets. As you grow with us, you'll expand into other complex data domains, ensuring seamless integration across our tech stack. Working closely with our development team, you'll help architect high-performance solutions that handle diverse datasets efficiently and reliably. We're seeking someone who can not only excel at data engineering fundamentals but also adapt their skills to new domains as our client needs evolve.
Success Outcomes:
Design and Implement Scalable Data Solutions
You will develop back-end systems that handle large datasets and create APIs that integrate these data systems with front-end applications.
Key Responsibilities:
Build and maintain scalable ETL pipelines (Extract, Transform, Load) to process and manage data efficiently.
Design and implement data models and schemas that support business needs.
Develop and optimize RESTful APIs for seamless data flow across applications.
2. Optimize Data Performance
You will ensure that data systems perform efficiently, especially when dealing with large-scale datasets, and that they meet the required performance standards.
Key Responsibilities:
Optimize database performance using indexing, query optimization, and caching strategies.
Implement real-time data processing solutions to handle high-volume data streams effectively.
Ensure data integrity and consistency across distributed systems.
Collaborate and Learn New Technologies
You will collaborate with cross-functional teams, including front-end developers and product managers, to deliver end-to-end solutions. You will also have the opportunity to learn new technologies, including geospatial systems, if they align with project goals.
Key Responsibilities:
Work closely with front-end teams to ensure smooth integration of data with the user interface.
Participate in code reviews and contribute to team knowledge sharing.
Continuously learn and adapt to emerging technologies and industry trends.
Who You Are:
- You have strong data engineering experience and development skills
- You work effectively with back-end technologies like Node.js, including data processing frameworks
- You're constantly learning and applying new approaches to solve complex data challenges
- You thrive in environments that demand high collaboration and teamwork
- You focus on creating maintainable, scalable data solutions
Required Qualifications:
- Strong experience with back-end development, including working with Node.js, or similar technologies.
- Solid understanding of data pipelines, ETL processes, and data transformation.
- Experience designing and implementing RESTful APIs and working with databases (SQL/NoSQL).
- Proficiency in optimizing performance for large datasets, including indexing, caching, and query optimization.
- Familiarity with data visualization and integrating data into user interfaces.
- Experience with Git and collaborative development workflows.
Nice-to-Have Skills:
- Geospatial expertise (e.g., experience with PostGIS, GeoJSON, and geospatial data integration).
- Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Experience with real-time data processing and stream processing tools.
Soft Skills:
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication skills and ability to work effectively in cross-functional teams.
- Ability to learn quickly and adapt to new technologies and methodologies.
- Strong collaboration skills and a desire to contribute to a positive team culture.
We're growing quickly, which means you'll face interesting technical challenges and have real opportunities to shape our future. If you're excited about building meaningful solutions while growing with a collaborative team, we'd love to talk.
Apply Now
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