This is a remote position.
About KIS
KIS is a global technology consultancy, 100% remote and headquartered in the United States. We partner with companies ranging from innovative startups to large multinational organizations, helping them build modern, scalable, and high-impact technology solutions.
Our global team works on challenging projects across different industries, combining technical excellence, innovation, and close collaboration with our clients.
We are currently looking for a Mid-Level Data Engineer to join our team and work on a challenging project for one of KIS's leading international clients.
As a Mid-Level Data Engineer, you will be responsible for designing, building, and maintaining reliable and scalable data solutions. You will work closely with engineers, analysts, and stakeholders to ensure high-quality, accessible, and well-structured data across the organization.
Your responsibilities will include:
- Design, build, and maintain end-to-end data pipelines, including batch and/or streaming workflows, from ingestion through transformation and delivery.
- Develop and operate reliable, scalable, and high-performing ETL/ELT workflows.
- Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases.
- Implement and maintain data models, including star schemas and incremental models, optimized for analytics and reporting.
- Develop reusable, modular, and maintainable Python code for data transformations and pipeline logic.
- Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration tools, data sources, and cloud services.
- Ensure data quality by implementing automated validation checks, including schema validation, freshness checks, and row-level assertions.
- Build AI Agents to streamline data platforms, engineering processes and reporting.
- Collaborate with analysts, backend engineers, and other stakeholders to define data contracts and ensure reliable data availability.
- Actively participate in planning, estimation, and prioritization of data engineering tasks.
- Proactively identify risks related to performance, scalability, and data integrity, proposing effective mitigation strategies.
- Contribute to the continuous improvement of data platforms, engineering processes, and team best practices.
- Write and maintain clear technical documentation for data pipelines, schemas, and data lineage.
- Communicate clearly with team members and clients, proactively raising questions and concerns when requirements or priorities are unclear.
Requirements
Skills Required
- Professional experience as a Data Engineer working with production-grade data pipelines
- Strong SQL experience, including query optimization, indexing, partitioning, and performance trade-offs
- Professional Python experience for data transformations using good software design and modularization practices
- Experience designing and implementing data models for analytics and reporting
- Experience building and operating data pipelines using cloud-based data platforms
- Hands-on experience with GCP and BigQuery
- Experience with error handling, monitoring, troubleshooting, and data-quality processes for data pipelines
- Knowledge of data security and governance practices, including access control, data masking, and PII handling
- Ability to deliver less complex tasks independently and handle more complex challenges with guidance
- Strong ownership, responsibility, and accountability for data workflows and deliverables
- Good organizational and time-management skills, including effort estimation and meeting deadlines
- Advanced English proficiency for collaboration with global clients and distributed teams
- Strong communication, collaboration, teamwork, and problem-solving skills
What We Do
KIS Solutions is a technology consulting and software development company focused on solving business problems through technology, offering services such as web development, data migration, and customer support automation.
