Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job DescriptionWe are looking for a Data Engineer with strong SQL skills to support the analysis and validation of an existing data ecosystem. Rather than building new data pipelines or designing new architectures, this role focuses on understanding how the current implementation works, validating existing data processes, and helping document the technical landscape.
This role will work closely with technical leadership and cross-functional team members to ensure the documented solution accurately reflects how the system is implemented today.
Key Responsibilities
- Analyze existing SQL code, stored procedures, ETL jobs, and data transformations.
- Trace data through existing pipelines to understand how information moves across the platform.
- Validate that business rules are correctly implemented within the existing technical solution.
- Help document the current implementation, including data flows, transformations, table relationships, and technical dependencies.
- Collaborate with technical and business stakeholders to validate technical findings and support discovery activities.
- Review existing data processes to confirm system behavior and identify implementation details.
- Support technical documentation by providing insight into how the current data platform operates.
Required:
- Strong SQL skills, including complex queries, CTEs, window functions, joins, and stored procedures.
- Experience working with IBM DataStage or similar enterprise ETL tools.
- Experience analyzing existing ETL processes, data transformations, and relational databases.
- Understanding of how data flows through enterprise data platforms and ETL pipelines.
- Ability to analyze and understand existing implementations rather than only building new ones.
- Familiarity with data modeling concepts and table relationships.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with technical and business stakeholders.
Nice to Have:
- Background in marketing or customer data environments.
- Experience with legacy systems or modernization initiatives.
- Experience creating technical documentation or participating in discovery phases of data projects.
What about languages?
- You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have?
- In order to thrive in this role, you must have at least 1 year of experience in data engineering or similar roles.
Our Perks and Benefits
📚Learning Opportunities:
- Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
👨🏽💻Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
Skills Required
- Strong SQL skills, including complex queries, CTEs, window functions, joins, and stored procedures.
- Experience working with IBM DataStage or similar enterprise ETL tools.
- Experience analyzing existing ETL processes, data transformations, and relational databases.
- Understanding of how data flows through enterprise data platforms and ETL pipelines.
- Ability to analyze and understand existing implementations rather than only building new ones.
- Familiarity with data modeling concepts and table relationships.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with technical and business stakeholders.
- Excellent written and verbal English communication.
- At least 1 year of experience in data engineering or similar roles.
- Background in marketing or customer data environments.
- Experience with legacy systems or modernization initiatives.
- Experience creating technical documentation or participating in discovery phases of data projects.
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
