Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
About the Role
In this role you will design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will take ownership of reliable data workflows and large-scale analytical datasets, working with technical and business stakeholders to deliver high-quality data assets with a focus on performance, data quality, and cost efficiency.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions to support reliable analytics and business decision-making
- Build and optimize data transformations and data models, using Snowflake, dbt, SQL, and Python.
- Collaborate with technical and business stakeholders to understand requirements and translate them into effective data solutions and high-quality data assets
- Develop and maintain workflow orchestration using Apache Airflow to support reliable end-to-end data processing
- Design data models and ingestion frameworks that support large-scale analytical datasets and complex data transformations
- Implement data quality, validation, and auditing processes across end-to-end data workflows to improve the reliability of data assets
- Develop and maintain data integration solutions across AWS and Snowflake environments using SQL, Python, and dbt
- Contribute to CI/CD, testing, troubleshooting, and continuous improvement practices for data engineering solutions in production environments
Requirements
- Strong experience in Data Engineering, Data Warehousing, or related fields, with 5+ years of professional experience
- Strong hands-on experience with Snowflake and modern cloud-based data warehouse solutions
- Advanced SQL skills for working with large-scale datasets and complex data transformations
- Strong proficiency in Python for data engineering, data transformation, and automation
- Hands-on experience with dbt for data transformation, modeling, testing, and documentation
- Solid experience designing and maintaining ETL/ELT pipelines, data models, and ingestion workflows
- Practical experience with Apache Airflow or similar workflow orchestration technologies
- Hands-on experience with AWS cloud data platforms and services, plus familiarity with CI/CD, version control, data quality, and production troubleshooting practices
- Upper-intermediate or higher English proficiency for collaboration with technical and business stakeholders
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
Colombia, Chile
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Data & Analytics
Tech level
Senior
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.