About Tech9
At Tech9, we are driven by a clear mission—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. With proven expertise in product strategy, UX design, cloud architecture, and AI, our teams deliver purpose-built software that meets today's needs and anticipates tomorrow's challenges.
Headquartered in Utah, Tech9 experts collaborate across the United States, Latin America, and India. We offer a
remote working environment with a collaborative and supportive culture, allowing you to focus on what you do best.
If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we'd love to hear from you. Join us as we work together to redefine the world of software development.
Data Engineer
About The Role
We are looking for a hands-on Data Engineer to design, build, and maintain the data pipelines and transformation layer that power our platform. This role focuses on integrating data from third-party APIs and internal systems, transforming data into clean, reliable, and scalable models that support applications, services, and analytics.
You will work closely with engineering and product teams to ensure efficient, high-quality data flow across the platform, with a strong emphasis on API integrations, ETL/ELT development, cloud-based workflows, and data quality.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines that ingest data from third-party APIs and internal systems
- Develop transformation logic using Python and SQL to clean, normalize, enrich, and model data for downstream applications and analytics
- Build and maintain serverless data workflows in AWS using Lambda, API Gateway, S3, RDS/PostgreSQL, and Step Functions
- Integrate external API data with internal data models, ensuring schema alignment, mapping consistency, and data integrity
- Partner with backend engineering teams to expose transformed data through APIs and services
- Optimize SQL queries, pipeline performance, and cloud resource usage for efficiency and cost control
- Implement data validation, monitoring, and quality controls to ensure reliable pipeline performance
- Troubleshoot and resolve integration failures, transformation issues, and data inconsistencies
- Maintain documentation for data models, transformation logic, and workflow architecture
Required Qualifications
- 3+ years of experience in Data Engineering, Data Integration, Backend Engineering, or a related technical role
- Strong SQL skills including complex joins, window functions, query optimization, and performance tuning
- Solid Python experience for ETL/ELT development, scripting, and data transformation
- Experience with JavaScript or TypeScript in backend, integration, or serverless environments
- Hands-on experience building ETL/ELT pipelines in cloud-based environments
- Experience integrating REST APIs and transforming external schemas into internal data models
- Practical AWS experience, especially Lambda, API Gateway, S3, and RDS/PostgreSQL
- Strong troubleshooting, debugging, and problem-solving skills
Preferred Qualifications
- Experience with dbt or similar transformation frameworks
- Experience with PostgreSQL in operational or analytics-focused environments
- Familiarity with serverless and event-driven architecture patterns
- Experience supporting analytics platforms, dashboards, or data products
Key Technologies
Python, SQL, JavaScript/TypeScript, AWS Lambda, API Gateway, S3, RDS/PostgreSQL, Step Functions, REST APIs, ETL/ELT, Data Modeling, Data Quality Monitoring
