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Bilingual Spanish Data Engineering Jobs (NOW HIRING)

$100 - $125/hr

Required Qualifications * 7+ years of experience in data engineering, data integration, or related ... US Resident | US Citizenship Fully Bilingual (Spanish and English) Work Modality: Hybrid Location:

Data Infrastructure Engineer

San Juan, PR · On-site

$100 - $125/hr

Required Qualifications * 7+ years of experience in data engineering, data integration, or related ... US Resident | US Citizenship Fully Bilingual (Spanish and English) Work Modality: Hybrid Location:

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Bilingual Spanish Phlebotomist to join our team in Silver Spring, MD. Work ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Bilingual Spanish Phlebotomist to join our team in Silver Spring, MD. Work ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Bilingual Spanish Phlebotomist to join our team in Silver Spring, MD. Work ...

Case Manager (Bilingual Spanish)

Chicago, IL · On-site

$22.25 - $28/hr

... data tracking and reporting, and quality assurance. This role acts as a liaison to all neighbors ... Ensure high-quality Social Services programming, in alignment with SOPs, through outreach via phone ...

$52K/yr

Responsible for data tracking of every service provided as a daily requirement using the data and ... Bilingual (English/Spanish) required * Bachelor's degree in Workforce Development, Human Services ...

$52K/yr

Responsible for data tracking of every service provided as a daily requirement using the data and ... Bilingual (English/Spanish) required * Bachelor's degree in Workforce Development, Human Services ...

Showing results 41-60

Bilingual Spanish Data Engineering information

What is a bilingual Spanish data engineer?

A Bilingual Spanish Data Engineer is a professional who specializes in designing, building, and managing data systems and infrastructure, with the added skill of fluency in both Spanish and another language (often English). Their bilingual abilities enable them to work effectively on projects that require communication with Spanish-speaking stakeholders or teams. They are responsible for tasks such as developing data pipelines, ensuring data quality, and transforming raw data into usable formats for analysis. Their language skills are especially valuable for international companies or organizations operating in Spanish-speaking regions. This role often requires technical expertise in programming, databases, and data modeling, as well as strong communication skills.

How does being bilingual in Spanish benefit a data engineering role, and what unique challenges might arise from supporting multilingual data projects?

Being bilingual in Spanish is a significant asset in data engineering roles, especially when working with organizations that serve Spanish-speaking markets or handle large, multilingual datasets. It enables more effective communication with stakeholders, ensures accurate interpretation of data requirements, and helps in localizing data models and pipelines for Spanish-language applications. However, data engineers may face challenges such as handling data quality issues stemming from language differences, ensuring proper encoding and character handling, and collaborating across teams with varying language proficiencies. Overcoming these challenges enhances the reliability and accessibility of data-driven solutions for diverse user bases.

What are the key skills and qualifications needed to thrive as a bilingual Spanish data engineer, and why are they important?

To thrive as a Bilingual Spanish Data Engineer, you need a solid background in computer science, data modeling, and proficiency in both Spanish and English, often supported by a relevant degree. Familiarity with tools such as SQL, Python, cloud platforms (like AWS or Azure), and big data frameworks (e.g., Hadoop or Spark) is essential, and certifications in data engineering or cloud services are highly valued. Strong problem-solving skills, attention to detail, and effective cross-cultural communication set exceptional candidates apart. These skills ensure you can design and maintain robust data systems while collaborating efficiently across multilingual teams and supporting diverse data-driven initiatives.

What is the difference between Bilingual Spanish Data Engineering vs Bilingual Spanish Data Analyst?

AspectBilingual Spanish Data EngineeringBilingual Spanish Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, coding environmentsData visualization, reporting tools, business meetings
Employer & Industry UsageTech companies, finance, healthcareMarketing firms, retail, consulting
Common Search & ComparisonTechnical skills, coding, data infrastructureData interpretation, reporting, business insights

While both roles require bilingual Spanish skills, Data Engineers focus on building and maintaining data infrastructure using technical skills, whereas Data Analysts interpret data to provide business insights. The roles complement each other but differ in technical depth and daily tasks.

What are popular job titles related to Bilingual Spanish Data Engineering jobs?

For Bilingual Spanish Data Engineering jobs, the most frequently searched job titles are:

Infographic showing various Bilingual Spanish Data Engineering job openings in the United States as of September 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Data Infrastructure Engineer

On-site

$100 - $125/hr

Other

Medical, Life, Retirement, PTO

Posted 18 days ago


Key responsibilities

  • Design, build, and orchestrate scalable data pipelines using Microsoft Fabric to support data ingestion, transformation, and delivery.

  • Implement and manage a medallion architecture to improve data quality, consistency, and usability.

  • Develop and maintain transformation logic, including data cleansing, standardization, deduplication, and mapping, while modernizing legacy workflows.


Job description

Job Summary

We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role, you will be responsible for rebuilding our data foundation—covering ingestion, validation, and standardized transformations—with the strategic goal of transitioning full ownership of data pipelines to IT and eliminating manual processes. As a key member of our technology team, you will leverage your expertise in Microsoft Fabric (including Lakehouse, Data Warehouse, Dataflow Gen2, and pipelines) to design and implement scalable, reliable data solutions. You will play a critical role in developing robust ETL/ELT pipelines and architecting modern data platforms that enable efficient data access, governance, and analytics across the organization.

The ideal candidate brings strong hands-on experience with SQL and/or Spark-based transformations, along with a deep understanding of data engineering best practices.

What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely. We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we’re committed to your success.

Duties and Responsibilities
  • Design, build, and orchestrate scalable data pipelines using Microsoft Fabric to support efficient data ingestion, transformation, and delivery.
  • Implement and manage a robust medallion (Bronze/Silver/Gold) architecture to enhance data quality, consistency, and usability.
  • Develop and maintain transformation logic, including data cleansing, standardization, deduplication, and mapping, while modernizing legacy processes by migrating Python-based workflows into Fabric-native solutions.
  • Ensure strong data governance by implementing validation, quality checks, and end-to-end traceability across pipelines.
  • Continuously optimize data processing and refresh strategies to support near real-time reporting and reduce data latency.
Teamwork and Communication

Work under Agile methodologies and frameworks such as Scrum or Kanban. Provide daily status and feedback on the work performed. Assist in the analysis, design, development, and deployment of necessary data. Provide accurate explanations of any written code.

Communicate with internal and external personnel in English or Spanish to discuss requirements and specifications, provide status updates, and explain the work performed.

Required Qualifications
  • 7+ years of experience in data engineering, data integration, or related roles
  • Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Dataflow Gen2, pipelines)
  • Proven expertise in designing and implementing ETL/ELT pipelines and scalable data architectures
  • Strong proficiency in SQL and/or Spark-based transformations
  • Experience with data quality, validation, and lineage concepts
  • Demonstrated experience working with large, complex datasets in cloud environments
  • Proven ability to modernize legacy data processes and automate manual workflows
Preferred Qualifications
  • Experience with Python (pandas, scripting) to interpret and refactor existing transformation logic
  • Familiarity with the Azure data ecosystem and integration patterns
  • Experience supporting near real-time data processing environments
  • Strong communication and collaboration skills
Other requirements:

US Resident | US Citizenship

Fully Bilingual (Spanish and English)

Work Modality: Hybrid

Location: San Juan, Puerto Rico

Benefits and Perks

We believe in supporting our employees’ well‑being, growth, and work‑life balance. As part of our team, you will have access to a comprehensive benefits package that includes:

  • Paid time off, including vacation and sick leave
  • Company-sponsored health insurance coverage
  • Retirement plan to help you plan for the future
  • Hybrid work model offering flexibility between office and remote work
  • Flexible working hours to support work‑life balance
  • Continuing education reimbursement to encourage professional development
  • Company-paid life insurance

EEO

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