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Sr IT Data Engineer – Remote Job.

Company Description

We are a multinational team of individuals who believe that, with the right knowledge and approach, technology is the answer to the challenges businesses face today. Since 2016, we have brought this knowledge and approach to our clients, helping them translate technology into their success.

With Swiss roots and our own development team in Lima and across the region, we offer the best of both cultures: the talent and passion of Latin American professionals combined with the organizational skills and Swiss mindset.

Job Description

Bertoni Solutions is seeking a Senior Data Engineer based in LATAM with advanced English proficiency to join a fully remote project for one of our U.S.-based partner’s clients.
 

Responsibilities:

  • Works independently to process information by loading / extraction of data.
  • Designs and develops a large-scale data lake managing data flows including but not limited to Veeva/Salesforce and various sources into a common customer data hub.
  • Orchestrates data pipelines to extract, transform, and load CRM data and create templatized data solutions to provide data to downstream teams, such as Sales Analytics, Incentive Compensation, and Data Science teams.
  • Performs quality control functions on all deliverables, including standard deliverables, ad hoc loading and extraction projects.
  • Develops and maintains project documentation, including work instructions for all repeatable tasks.
  • Provides feedback on the design of new integration initiatives.
  • Meets clients to establish, monitor, and review deliverables.
  • Other projects as deemed necessary by Management.
  • Engages with clients to facilitate data management services related to project delivery schedule.

Qualifications

IMPORTANT: This opportunity is exclusively available for bilingual applicants (Native Spanish/Portuguese fluency and English advanced fluency or vice versa) currently living/located in Latin America. If you do not meet these criteria, we kindly ask that you refrain from applying, as applications that do not meet these requirements will not be considered.
 

What we’re looking for:

  • Minimum 6+ years of experience working as a Data Engineer is a must have.
  • Experience working with data management teams supporting Pharma field operations is required.
  • Experience in data-centric implementations such as SFA/CRM and Business Intelligence Tools.
  • 3+ years of experience with data warehouse, Master Data Management (MDM), and data integration initiatives.
  • 3+ years of experience building ETL/ELT solutions using data integration tools such as Azure Data Factory, Azure Functions, Logic Apps, Databricks & Snowflake.
  • Proficiency in Snowflake data warehousing.
  • Prior knowledge of best practices in SDLC and use of source control management tool preferably Azure DevOps to GitHub integration is highly desired.
  • Strong organizational skills.
  • Experience working in a production environment for multiple clients in a compliance industry.
  • Ability to work in a team through implementing and adopting a data management framework.
  • Ability to translate customer needs into technical requirements.
  • Advanced written and spoken English fluency along with strong verbal and written communication skills.
  • Detail-oriented and analytical with planning and organizational skills.
  • Excellent interpersonal skills.
  • Specific knowledge of client business and technology/data operations in the pharmaceutical industry.
  • Skill in troubleshooting and problem-solving.
  • Ability to work in an environment that is driven by process governance.


Preferred

  • Bachelor’s degree, preferably in Computer Science, Technology, or Engineering.
  • Experience with Salesforce.com/Veeva or a similar CRM system.
  • Prior experience with Veeva Network.
  • Experience in Pharmaceutical and Life Sciences implementations and awareness of commonly used data sources for Customer Master and Sales information.
  • Azure DP-900 and/or DP-203 Certification and Training.

Additional Information

Please note that we will not be moving forward with any applicants who do not meet the following mandatory requirements:

  • Senior-level, proven experience as a Data Engineer, with a minimum of 6 years in the role.

  • Proven experience working with data management teams supporting Pharma field operations.

  • Hands-on experience in data-centric implementations such as SFA/CRM and Business Intelligence tools.

  • A minimum of 3 years of experience with data warehousing, Master Data Management (MDM), and data integration initiatives.


More details:

  • Contract Type: Independent contractor (This type of contract does not include paid time off, tax deductions, or insurance. It only includes the gross monthly payment based on hours worked).
  • Contract Duration: Initially 6 months, with possible extension based on performance.
  • Work Mode: 100% remote outsourcing. The client is based in the U.S. and is looking for nearshore talent.
  • Time Zone & Schedule: Full-time, Monday to Friday (8 hours per day, 40 hours per week), U.S. Eastern Time (EST).
  • Equipment: Contractors must use their own laptop or PC.
  • Number of Open Positions: 1
  • Start Date: As soon as possible.
     

Next steps in the selection process:

  • 1 interview with Bertoni
  • CV review by our partner
  • 1 technical interview with our partner
  • 1 final interview with the end client


Why Join Us?

  • Be part of an innovative team shaping the future of healthcare data management.
  • Work in a collaborative and inclusive environment.
  • Opportunities for professional development and career growth.

Average salary estimate

$80000 / YEARLY (est.)
min
max
$60000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr IT Data Engineer – Remote Job., Bertoni Solutions

Bertoni Solutions is excited to announce an opportunity for a Sr IT Data Engineer to join our dynamic team on a fully remote basis, specifically for candidates located in Latin America. If you are passionate about transforming data into actionable insights, we want you! In this role, you will be at the forefront of designing and developing a large-scale data lake that integrates diverse data sources, including Veeva and Salesforce, into a common customer data hub. You will orchestrate data pipelines to extract, transform, and load data, ensuring the highest quality standards are met throughout the process. Your expertise will be crucial in developing data-driven solutions that will aid various teams such as Sales Analytics and Data Science. Moreover, you will engage with clients to align on deliverables and provide feedback on innovative integration initiatives, making a real impact on our partners’ projects. With a minimum of 6 years in data engineering, particularly in the pharmaceutical domain, you will leverage your deep understanding of data management and integration processes to deliver exceptional results. If you thrive in a collaborative environment that promotes professional growth and embraces technology's potential, Bertoni Solutions is the perfect place for you to shine. Join us and help shape the future of healthcare data management while enjoying the flexibility of remote work within a culture that values talent and creativity!

Frequently Asked Questions (FAQs) for Sr IT Data Engineer – Remote Job. Role at Bertoni Solutions
What are the key responsibilities of a Sr IT Data Engineer at Bertoni Solutions?

As a Sr IT Data Engineer at Bertoni Solutions, your key responsibilities include processing and loading data, designing large-scale data lakes, and orchestrating data pipelines to streamline data flow from various sources like Veeva and Salesforce. You'll engage with clients to understand their needs and deliver high-quality results, while also developing documentation for repeatable tasks and initiatives.

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What qualifications are required for the Sr IT Data Engineer position at Bertoni Solutions?

Candidates for the Sr IT Data Engineer role at Bertoni Solutions must possess at least 6 years of data engineering experience, with a focus on supporting Pharma field operations. Additionally, proficiency in data warehousing, Master Data Management, and tools such as Azure Data Factory and Snowflake are essential.

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How does the remote working environment function for the Sr IT Data Engineer at Bertoni Solutions?

The Sr IT Data Engineer at Bertoni Solutions will enjoy the flexibility of a fully remote working environment. This allows for a balance between work and personal life, as long as you can align with the U.S. Eastern Time schedule on a full-time basis, ensuring effective collaboration across teams.

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What kind of projects will the Sr IT Data Engineer at Bertoni Solutions be involved in?

In your role as a Sr IT Data Engineer at Bertoni Solutions, you'll be involved in various exciting projects focused on data management and integration for the pharmaceutical industry. This includes building ETL solutions and facilitating data management services to enhance project delivery schedules for clients.

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What kind of professional development opportunities does Bertoni Solutions offer for Sr IT Data Engineers?

Bertoni Solutions is committed to fostering an environment of continuous learning and professional growth. As a Sr IT Data Engineer, you'll have opportunities to enhance your skills, work on innovative projects, and advance your career in a collaborative setting that encourages knowledge sharing and development.

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Common Interview Questions for Sr IT Data Engineer – Remote Job.
Can you explain your experience with data lakes and how you've implemented them in previous roles as a Sr IT Data Engineer?

In answering this question, you should highlight your specific experiences in designing, developing, and maintaining data lakes. Discuss any challenges faced, how you resolved them, and the impact of your solutions on the organization. Be sure to mention any specific tools or technologies you have used.

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What methodologies do you follow when orchestrating data pipelines?

When answering this, explain your approach to designing effective data pipelines, including any best practices you adhere to. Discuss any tools you've used (like Azure Functions or Data Factory) and how you ensure data quality and integrity throughout the process.

Join Rise to see the full answer
How do you ensure quality control in your data deliverables?

Detail your strategies for maintaining high-quality standards in your work. You might mention regular checks, automated tests, or peer reviews that you implement to minimize errors and ensure that deliverables meet client expectations.

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Describe a time when you had to translate customer requirements into technical specifications. How did you handle it?

Share a specific example that illustrates your ability to communicate effectively with clients and translate their needs into actionable technical plans. Highlight how your understanding of both the business and technical aspects aided in the successful implementation of a project.

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What is your experience with CRM systems, particularly Salesforce or Veeva?

Talk about your hands-on experience with CRM systems. Discuss specific projects where you've integrated or worked with Salesforce or Veeva, how you tackled challenges, and the outcomes achieved through your contributions.

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How do you keep abreast of developments in data engineering and technology?

You should mention your commitment to continuous learning through courses, workshops, conferences, or online resources. Explain how you apply new insights in your work and stay current with industry trends in data engineering.

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What tools do you prefer for data integration and why?

Discuss your familiarity with various data integration tools such as Azure Data Factory or Databricks. Explain why you prefer certain tools based on their features, ease of use, or past success in your projects.

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Can you provide an example of a complex data challenge you resolved as a Sr IT Data Engineer?

When answering, narrate a specific incident where you encountered a complicated data issue. Detail your problem-solving process, tools used, and how your actions led to a successful resolution.

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What best practices do you believe are essential in ETL processes?

Mention key best practices such as ensuring data cleanliness, maintaining a robust testing framework, documentation, and optimizing performance. Relating personal experiences where you applied these can make your answer more impactful.

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In your experience, how important is collaboration within a data engineering team?

Talk about the significance of teamwork in achieving common goals. Cite experiences where collaboration led to successful project completion and enhanced workflow, reinforcing the idea that data engineering benefits greatly from diverse perspectives.

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Bertoni Solutions is a digital consulting company, with in-house software development, QA and testing capabilities. From audit and consultation to forming and executing transformation strategies, we assist companies who want to redefine their busi...

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Contract, remote
DATE POSTED
March 23, 2025

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