Data Engineer Manager (Remote)

Join the In-House Team of Virtual Latinos!

Are you passionate about numbers, skilled at analyzing data, and experienced in consulting? Do you thrive in a fast-growing startup environment? Have you ever dreamed of working from the comfort of your home while earning a competitive wage that far exceeds local standards? If so, this is the opportunity you’ve been looking for!

With over 1,500 Latino Virtual Professionals already working with our 750+ clients, Virtual Latinos is the first American company connecting talented virtual professionals from Latin America with small businesses and entrepreneurs in the US, Canada, and beyond. We consistently have new job openings, providing professionals with access to rewarding remote work opportunities.

Job Title: Data Engineering Manager for the Internal Virtual Latinos Team

Pay Rate:

Full-Time Rate: $2,946-$3,208 per month

*The monthly salary range posted is stipulated as an average monthly income. However, all jobs at Virtual Latinos are hourly-based, and payments are calculated on the number of hours a person works daily. We pay our Remote Professionals every 2 weeks through third-party platforms. The hourly rate range of the position is $17-$18.50 per hour, depending on experience. Once a rate has been offered to you, it is non-negotiable.

Work Schedule: Monday-Friday, 9-hour shift with a 1-hour lunch break. The entire shift should fall between 7 am – 4 pm PST.

Additional Perks of Working Directly for the In-House Virtual Latinos Team:

• Long-term work relationships (this is not a project-based opportunity)
• Perks based on longevity within the job (such as PTO and medical stipends)
• An amazing team and company culture
• Increase your rate by taking courses and bringing pivotal ideas to the table. “The more you learn, the more you earn”.
• Growth opportunities to move up within the company

How to Apply to this Specific Job:

• Click the “Apply” button on this post.
• Complete and submit the application form.
• Following the initial review of your application, our recruitment team will be in touch to notify you of the status of your application and discuss potential progression to the next stage of the hiring process. The subsequent phase involves participating in a test trial designed to assess your technical proficiency in relation to the job requirements.
• *Our communication efforts will be done primarily through email so please be on the lookout for emails coming from the @virtuallatinos.com handle. It’s important that you also check your spam folder for our emails, depending on your privacy settings, or risk missing out on a fantastic career opportunity!

Job Summary:We are seeking an experienced and innovative Data Engineering Manager to lead our data engineering team in building, optimizing, and managing robust data infrastructure and pipelines. The ideal candidate will oversee the design, development, and implementation of scalable data solutions while collaborating with cross-functional teams to support the organization’s data-driven goals. This role requires strong technical expertise, leadership skills, and a proactive approach to problem-solving in a fast-paced environment.

Job Tasks:

• Lead and mentor a team of data engineers, fostering professional growth and ensuring high performance.
• Design and maintain scalable, reliable, and secure data pipelines and infrastructure.
• Oversee the integration and optimization of data from multiple sources into unified systems.
• Partner with data scientists, analysts, and stakeholders to understand data requirements.
• Collaborate with IT teams to ensure seamless data integration and system compatibility.
• Implement and enforce data quality standards, data validation processes, and governance policies.
• Evaluate and adopt modern data engineering tools and technologies to enhance efficiency.
• Plan, prioritize, and manage data engineering projects, ensuring timely delivery.

Required Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and database management systems (e.g., PostgreSQL, MySQL, Redshift).
• Experience with data pipeline tools (e.g., Apache Airflow, Luigi) and ETL processes.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehouse solutions.
• Understanding of big data tools and frameworks.
• Knowledge of data modeling, schema design, and data governance best practices.

Preferred Technical Skills (not required):

• Experience with machine learning workflows and data science platforms.
• Knowledge of data security and compliance standards (e.g., GDPR, HIPAA).
• Certifications in data engineering or cloud platforms (e.g., AWS Certified Data Analytics).

Required Soft Skills:

• Effective leadership and mentorship capabilities, guiding team members in technical aspects.
• Problem-solving mindset with a focus on delivering efficient solutions.
• Ability to foster a collaborative and inclusive team environment.
• Strong organizational skills, with the ability to handle multiple tasks and prioritize effectively.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Experience: 5+ years in data engineering, with at least 2 years in a leadership or managerial role.

Communication: Strong verbal and written communication skills, including the ability to explain technical concepts to non-technical audiences.