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(Talent Pool) - Data Engineer (CDP) - Latin America

Remote, United States remote Entry $5,000 - $7,000
remote Technology & IT Salary listed Curated
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About the role

Who We Are

Massive Rocket is a high-growth Braze & Snowflake agency that has made significant strides in connecting digital marketing teams with product and engineering units. Founded just 5 years ago, we have experienced swift growth and are now at a crucial juncture, aspiring to reach $100M in revenue. Our focus is on delivering human experiences at scale, leveraging the latest in web, mobile, cloud, data, and AI technologies. We pride ourselves on innovation and the delivery of cutting-edge digital solutions.

Every role at Massive Rocket is Entrepreneurial - Successful people at Massive Rocket will not only think about their role but understand the roles around them, their goals and contribute to the success and growth of their team, customers and partners.

What We Offer

🚀 Fast-moving environment – you will never stop learning and growing

❤️ Supportive and positive work culture with an emphasis on our values

🌍 International presence – work with team members in Europe, the US, and around the globe

🪐 100% remote forever

🧗🏼‍♂️ Career progression paths and opportunities for promotion/advancement

🍕 Organised team events and outings

What we’re looking for

As a Data Engineer, you will play a pivotal role in harmonizing customer data across various systems, ensuring flawless data integration and flow. You'll expertly handle event data, using tools like Lambda functions to transform and enrich these events for maximum impact.

Collaborate with dynamic teams to enhance customer engagement strategies using leading platforms such as Braze. Your keen insight into industry trends and best practices will keep our customer data management at the cutting edge, driving innovation and excellence. Elevate your career with us and be a catalyst for transformative customer experiences.

Responsibilities

Data Integration and Syncing

a) Sync customer data across multiple systems, ensuring data consistency and accuracy.

b) Implement and manage data pipelines to support seamless data integration.

c) Monitor data flows to identify and resolve any issues promptly.

d) Understand Braze’s main data ingestion capabilities and how they can be leveraged by the data architecture.

Event Data Management

a) Work with event data to capture and analyze customer interactions across various touchpoint.

b) Develop and manage lambda functions to transform and enrich event data in real-time.

c) Ensure event data is accurately captured and stored for analysis and reporting purposes.

Customer Engagement Optimization through Braze

a) Work through the system restrictions in order to power Customer Engagement personalization and triggers in Braze.

b) Collaborate with marketing and product teams to optimize customer engagement strategies using platforms like Braze.

c) Leverage customer data to identify opportunities for personalized marketing and engagement.

d) Provide actionable insights to drive customer engagement and retention.

e) You will have appetite for learning about Data Warehouses (Snowflake specifically) and how they can be leveraged to strengthen the customer experience proposition through Braze.

Collaboration and Support

a) Work closely with cross-functional teams, including data engineers, analysts, and marketing professionals, to align on data strategies and implementation.

b) Provide technical support and guidance to team members on best practices for data integration and event data management.

c) You will always be on the lookout for ways our clients can improve their current data stack and either be more efficient or have more impact on our work.

d) Align with the internal Snowflake and CRM team to align on the data plan and therefore power the Braze platform in the most efficient way possible.

Required Skills and Qualifications:

Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience.

4+ years of experience as a Data Engineer, CDP Consultant or similar role

4+ years of experience working with Python

2+ years of experience working with one or more cloud platforms ( AWS, Azure or GCP)

Strong knowledge of data integration and syncing techniques.

Experience working with event data and developing lambda functions.

Experience working with Git and CI/CD tools.

Familiarity with customer engagement platforms like Braze, Saleforce Marketing Cloud, HubSpot or similar tools.

Excellent problem-solving skills and attention to detail.

Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced environment.

[ Experience working in an agency setting or working with external clients

Preferred Qualifications:

Knowledge of data privacy and security best practices.

Understanding of data analytics and visualization tools (e.g., Tableau, Power BI).

Experience working in Scrum.

During the process, please note the following requirements and preparations:

Massive Rocket has a Bring Your Own Device (BYOD) policy — you will be expected to use your own equipment for work.

A valid work visa is required — Massive Rocket does not provide sponsorship at this time.

You may be asked to provide proof of identification, such as a passport, ID card, or utility bill (gas, water, electricity).

Two references may be requested — please be prepared to share names, relationship to you, and contact details (email and mobile).

Contractors only: Proof of incorporation and valid insurance coverage is required.

Note: Please ensure that your qualifications closely match the criteria outlined in the job description. Applications not meeting the specified criteria may not be processed or considered for this position.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration CRM Data Analysis Digital Marketing Python remote

Likely questions

  1. Tell us about work you have done that is close to the (Talent Pool) - Data Engineer (CDP) - Latin America role.
  2. How would you approach your first 30 days at name?
  3. Which of API integration, CRM and Data Analysis have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, CRM and Data Analysis.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the (Talent Pool) - Data Engineer (CDP) - Latin America role because I can bring practical experience in API integration, CRM and Data Analysis, learn the team quickly, and contribute to the outcomes name needs from this hire.

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