Edtech.com's Summary

Transfr is hiring a Data Engineer to build and maintain data solutions that support fast, data-driven decisions related to usability, learning, product engagement, and quality. This role involves collaborating with researchers, engineers, and designers to develop scalable data pipelines, support A/B testing, and create visualizations that enhance learning research and analytics.

Highlights

Build and maintain data pipeline architecture and infrastructure using GCP technologies.
Develop real-time, scalable data solutions to support product experimentation and learning analytics.
Collaborate with stakeholders to translate business definitions into data models using DBT.
Proficient in SQL, Python, BigQuery, dbt, Airflow, Pub/Sub, and version control (Git).
Experience with data warehousing, ETL/ELT pipelines, and streaming data solutions.
Knowledge of data visualization tools such as Looker or Tableau.
Familiarity with data privacy, governance, and compliance frameworks like GDPR and FERPA.
Minimum 4 years of experience in data engineering, analytics engineering, or related data roles.
Strong communication skills to convey complex data concepts to technical and non-technical teams.
Base salary range from $120,000 to $132,000, with eligibility for stock options, 401(k), paid time off, and health benefits.

Data Engineer Full Description

Transfr is on a mission to help create pathways to career success. Our immersive career exploration and training simulations empower learners and job seekers of all ages find the right job for them and build the skills they need to enter (or reenter) the workforce or change careers — helping them improve their quality of life.

Immersive VR experiences from Transfr have been shown in studies to deliver better learning gains than video tutorials, slide presentations, and other training methods. Learners also find Transfr experiences highly engaging and enjoyable. At Transfr, we believe the future starts with innovative workplace training and skills development. We’re building bridges between schools, workplaces, and governments to help improve training and job placement pipelines and create a better tomorrow, today.

Summary: As a Data Engineer at Transfr, you will help build data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality. This individual will have the opportunity to work with researchers, engineers, and product designers across the company and engage in cutting-edge research to contribute to learning research and analytics.

This role asks you to embody our 7 cultural values (radical responsibility, teamwork, creativity, win-win mindset, personal growth, empathy, and humility).

Key Responsibilities:

Work with stakeholders to map business definitions to logical definitions that can be modeled in DBT.
Instrument data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality.
Build the infrastructure required for optimal extraction, transformation, and loading of data from multiple data sources using GCP technologies.
Build real-time, scalable data solutions that support A/B product testing and support data and learning science through enabling visualizations and views into complex data sets
Create and maintain data pipeline architecture, configuration and implementation
Work with internal teams to assist with data-related technical issues and support their data infrastructure, access, and visualization needs.
Support cross-functional teams with the creation of data strategies and data guidance documentation and architectures
Adhere to data privacy and security guidelines and regulations analysis
Build data expertise and own data quality for allocated areas
Create efficient processes for acquiring, extracting, integrating, transforming, and modeling data to derive useful information

Technical Expertise:

4+ years of experience as a data engineer, analytics engineer, data analyst, or similar role focused on data architecture and warehouse development
Proven expertise in SQL, Python, and cloud platform technologies (we use GCP)
Deep understanding of data warehousing, modeling, and real-time analytics to support experimentation (e.g., A/B testing) and product intelligence
Proficient in modern data tooling (e.g., BigQuery, dbt, Airflow, Pub/Sub) and version control systems (e.g., Git)
Knowledge of robust, scalable ETL/ELT pipelines and streaming data solutions
Knowledge of data visualization and BI tools such as Looker, Tableau, or similar
Familiarity with data privacy, governance, and security best practices, including compliance frameworks (e.g., GDPR, FERPA)

Collaboration & Communication:

Strong communication skills with the ability to translate complex data concepts into clear, actionable insights for technical and non-technical stakeholders
Demonstrated success working cross-functionally with product managers, researchers, engineers, and designers
Experience contributing to data documentation and mentoring teammates on best practices and data strategy

Mindset & Values Alignment:

Self-starter who takes radical responsibility for end-to-end data solution delivery
Proven ability to work in high-collaboration, team-oriented environments and thrive on shared success
A creative problem solver who embraces ambiguity and seeks novel approaches to challenging data problems
Strong empathy for data users and consumers, with a focus on usability and clarity in data access and reporting
Demonstrated humility and openness to feedback, continuous improvement, and collaborative experimentation

What We Offer:

The base salary range for this position is expected to be between $120,000 - $132,000, with the actual base salary amount dependent on a number of factors, including but not limited to a candidate’s credentials, relevant experience, and primary job location. In addition to salary, this role may be eligible for additional company benefits such as stock options, 401(k), paid vacation and sick time, and health benefits.

In Closing:

If you're looking to make a big difference in the lives of others, we invite you to join us on our mission to make learning more intuitive and help individuals develop the skills they need for career success.

Be a part of creating pathways to prosperity by helping to develop training simulations to teach skills that lead to well-paying jobs, for all.

At Transfr, we embrace diversity because it breeds innovation. Transfr is an equal opportunity employer that participates in E-Verify committed to providing equal employment opportunities to all applicants, consultants, and employees, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

**Must be authorized to work in the United States without restriction**

Learn more at transfrinc.com

Original Job Description

This role asks you to embody our 7 cultural values (radical responsibility, teamwork, creativity, win-win mindset, personal growth, empathy, and humility).

Key Responsibilities:

Work with stakeholders to map business definitions to logical definitions that can be modeled in DBT.
Instrument data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality.
Build the infrastructure required for optimal extraction, transformation, and loading of data from multiple data sources using GCP technologies.
Build real-time, scalable data solutions that support A/B product testing and support data and learning science through enabling visualizations and views into complex data sets
Create and maintain data pipeline architecture, configuration and implementation
Work with internal teams to assist with data-related technical issues and support their data infrastructure, access, and visualization needs.
Support cross-functional teams with the creation of data strategies and data guidance documentation and architectures
Adhere to data privacy and security guidelines and regulations analysis
Build data expertise and own data quality for allocated areas
Create efficient processes for acquiring, extracting, integrating, transforming, and modeling data to derive useful information

Technical Expertise:

4+ years of experience as a data engineer, analytics engineer, data analyst, or similar role focused on data architecture and warehouse development
Proven expertise in SQL, Python, and cloud platform technologies (we use GCP)
Deep understanding of data warehousing, modeling, and real-time analytics to support experimentation (e.g., A/B testing) and product intelligence
Proficient in modern data tooling (e.g., BigQuery, dbt, Airflow, Pub/Sub) and version control systems (e.g., Git)
Knowledge of robust, scalable ETL/ELT pipelines and streaming data solutions
Knowledge of data visualization and BI tools such as Looker, Tableau, or similar
Familiarity with data privacy, governance, and security best practices, including compliance frameworks (e.g., GDPR, FERPA)

Collaboration & Communication:

Strong communication skills with the ability to translate complex data concepts into clear, actionable insights for technical and non-technical stakeholders
Demonstrated success working cross-functionally with product managers, researchers, engineers, and designers
Experience contributing to data documentation and mentoring teammates on best practices and data strategy

Mindset & Values Alignment:

Self-starter who takes radical responsibility for end-to-end data solution delivery
Proven ability to work in high-collaboration, team-oriented environments and thrive on shared success
A creative problem solver who embraces ambiguity and seeks novel approaches to challenging data problems
Strong empathy for data users and consumers, with a focus on usability and clarity in data access and reporting
Demonstrated humility and openness to feedback, continuous improvement, and collaborative experimentation

What We Offer:

In Closing:

Be a part of creating pathways to prosperity by helping to develop training simulations to teach skills that lead to well-paying jobs, for all.

**Must be authorized to work in the United States without restriction**

Learn more at transfrinc.com

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