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’re looking for a Lead Data Engineer with strong experience designing, developing, and maintaining enterprise data solutions. This role will be responsible for the design, structure, integration, and maintenance of data across data warehouses, operational data stores, and other enterprise data infrastructures.
The ideal candidate combines strong technical expertise in SQL, data engineering, ETL, data integration, and data architecture with strong analytical and problem-solving skills. This person will work closely with technical and business stakeholders to design reliable data solutions, optimize high-volume workloads, and ensure data is accurate, accessible, and fit for business needs.
What will you be doing?
- Own the middle layer of the data pipeline, combining Quantum interaction data with account, device, and other operational data sources.
- Build and maintain ETL workflows that transform data on daily, weekly, and monthly schedules.
- Develop and manage AWS processing resources, validate outputs, and prepare reliable datasets for Tableau.
- Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance.
- Investigate data discrepancies, troubleshoot pipeline issues, and adapt workflows as application features and reporting needs evolve.
- Collaborate with the engineering lead, fellow data engineers, application developers, and data product owners as pipelines grow in complexity.
What are we looking for?
+ 5 years of experience in Data Engineering, Data Architecture, or a related field.
- Strong hands-on AWS experience, including managing resources for data processing.
- Proficiency in SQL and experience with Spark.
- Experience building ETL pipelines, integrating multiple data sources, and organizing data for analytics.
- An investigative mindset and the ability to independently work through ambiguous technical problems.
- A collaborative approach, with the ability to take ownership of assigned work within an established team.
- Advanced English (B2+)
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.
Skills Required
- 5+ years of experience in data engineering, data architecture, or a related field
- Strong hands-on AWS experience, including managing data-processing resources
- Proficiency in SQL
- Experience with Spark
- Experience building ETL pipelines
- Experience integrating multiple data sources
- Experience organizing data for analytics
- Investigative mindset and ability to independently solve ambiguous technical problems
- Collaborative approach and ability to take ownership of assigned work
- Advanced English proficiency at B2+ level
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.
-
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.
-
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.
-
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.
