Data Engineer (AWS)

Velozient; Colombia; Remote; COP 231,107,000 - 363,168,000; Full time

Job summary

Velozient is seeking a Junior to Mid-Level Data Engineer for a full-time, remote, 12-month project with a U.S. client.

You will design and maintain secure, scalable data pipelines, integrate Salesforce with AWS environments, and deliver production-grade data solutions with robust cybersecurity and access controls. The ideal candidate has 1+ years of data engineering experience, strong SQL, AWS data services familiarity, and English communication skills.

Qualifications

• 1+ years of professional data engineering experience
• Experience with AWS data services (S3, Lambda, RDS, Glue, Redshift)
• Experience designing scalable data pipelines
• Strong SQL and data modeling knowledge
• Excellent English communication skills

Responsibilities

• Design, develop, and maintain scalable data pipelines and data integrations within AWS
• Build integrations between Salesforce, ERP systems, and AWS databases
• Develop and optimize ETL/ELT processes for reliable data movement
• Design data architectures to support operational apps and business needs
• Implement cybersecurity best practices including IAM, encryption, RBAC
• Monitor, troubleshoot, and optimize data pipelines and database performance
• Collaborate with back-end and front-end developers to ensure data availability
• Leverage AI-assisted development tools to boost productivity while ensuring security

Skills

English communication

Data engineering

SQL

Security practices

Collaboration

Startup experience

Education

University degree or equivalent experience

Tools

Salesforce

Python

AWS (S3, Lambda, RDS, Glue, Redshift)

Job description

We are looking for a full-time, remote Junior to Mid-Level Data Engineer for a 12-month project with our U.S. client. In this role, you will design and maintain secure, scalable data pipelines, integrate Salesforce with AWS-based data environments, and deliver production-grade data solutions with appropriate cybersecurity and access controls.

Our client is a U.S. venture studio that surrounds industry subject matter experts with senior technical talent to build AI-native software solving real-world problems as well as consulting services to propel software companies along their AI journey.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions within AWS
• Build and manage data integrations between Salesforce, ERP systems, and AWS-based databases
• Develop and optimize ETL/ELT processes to ensure reliable and efficient data movement
• Design and maintain data architectures that support operational applications and business requirements
• Implement cybersecurity best practices, including encryption, authentication, authorization, and role-based access controls (RBAC)
• Ensure data integrity, reliability, availability, and secure handling of sensitive business information
• Monitor, troubleshoot, and optimize data pipelines and database performance
• Collaborate with back-end and front-end developers to ensure seamless data availability and integration
• Leverage AI-assisted development tools responsibly to improve productivity while maintaining code quality, security, and technical accuracy
• Experience with data cleansing, data quality improvement, and data transformation techniques to identify and resolve inconsistencies, eliminate duplicates, and ensure data accuracy and integrity across existing datasets

Required Experience

• Excellent English communication skills and ability to collaborate with technical and non-technical stakeholders
• 1+ years of professional data engineering experience or similarly data-focused engineering roles
• Hands-on experience with AWS cloud infrastructure (or equivalent cloud technologies) and data services, such as S3, Lambda, RDS, Glue, and Redshift
• Experience developing integrations with any CRM (Salesforce preferred)
• Proficiency in SQL and relational database management
• Experience building and maintaining ETL/ELT pipelines and data integration workflows
• Understanding of enterprise data architecture, data modeling, and pipeline optimization
• Experience implementing security controls in production environments, including IAM policies, role-based access, encryption, and secure API integrations
• Experience troubleshooting complex data integration and performance issues
• Ability to design and deliver production-ready solutions independently
• Proven delivery experience in a vibrant, dynamic startup environment
• A collaborative approach, a can-do attitude, and a relentless pursuit to attain goals and solve problems
• Trustworthy, team-oriented, and transparent

Desired Experience

• University degree or relevant industry experience in manufacturing, heavy industry, or industrial operations, preferably within the steel industry
• Experience integrating Salesforce-based ERP solutions, particularly Rootstock ERP (or similar)
• Experience with Python for data engineering and automation
• Experience with infrastructure as code and CI/CD pipelines
• Knowledge of manufacturing industry data structures, ERP workflows, and operational systems
• Experience working with complex enterprise environments or industrial data platforms
• Familiarity with AI-assisted development tools, such as Claude Code

Additional Information

• Knowing your ideas are heard and matter think big!
• You get to own your job and be recognized for your contributions
• Work with smart and creative people
• Making mistakes is human. Let's learn from them. Be transparent!
• We recognize you as an individual no presumptions or judgment. Be the extraordinary you!
• 8 days Paid Days Off (PDO), 2 sick days, and designated national holidays
• Start: ASAP

About Us

Velozient is a nearshore, outsourcing company providing expert resources to North American companies. We augment our clients' existing teams with talented professionals who enjoy challenging work, want to grow their skills, and excel in a fast-paced, dynamic team environment. Our remote resources work as valued team members while gaining career-advancing opportunities. If this type of opportunity excites you, then join our team!