Engineering Manager, Data Platform (Remote) at TrueML – Lead High-Impact Data Engineering Teams
Modern organizations rely on robust data platforms to power analytics, machine learning, and business intelligence. As companies continue to expand their digital capabilities, experienced engineering leaders who can build scalable data infrastructure and mentor high-performing teams are increasingly in demand.
TrueML is hiring an Engineering Manager, Data Platform for a remote position in the United States. This leadership opportunity is ideal for experienced data engineers and engineering managers who are passionate about building reliable data platforms, leading technical teams, and driving innovation in financial technology. The role combines engineering leadership, platform architecture, data quality, and cross-functional collaboration to support the company's mission of delivering better financial experiences for consumers.
About TrueML
TrueML is a mission-driven financial technology company focused on improving financial outcomes for consumers through modern, digital-first solutions. The company leverages machine learning, data science, and advanced software engineering to help people manage financial obligations while providing personalized customer experiences.
Its teams include engineers, data scientists, financial services experts, and product professionals who work together to create technology that makes financial systems more accessible, efficient, and customer-centric. As the business continues to grow, TrueML is investing heavily in scalable data infrastructure that supports analytics, machine learning, and product innovation.
About the Engineering Manager, Data Platform Role
The Engineering Manager will lead the Data Platform team responsible for designing, building, and maintaining the infrastructure that powers TrueML's data ecosystem.
This role combines people leadership with hands-on technical expertise. The successful candidate will mentor engineers, guide architectural decisions, improve data quality, and ensure the company's data platform remains scalable, secure, and reliable.
It is an excellent opportunity for professionals who enjoy solving complex technical challenges while helping engineering teams grow.
Key Responsibilities
Lead and Develop Engineering Teams
One of the primary responsibilities is managing and mentoring a team of data engineers.
Responsibilities include:
- Coaching engineers through technical challenges.
- Supporting career development.
- Building a collaborative engineering culture.
- Conducting performance reviews.
- Encouraging technical excellence and continuous learning.
Strong leadership helps teams deliver high-quality solutions while supporting long-term professional growth.
Build Scalable Data Infrastructure
The Engineering Manager will oversee the design and development of critical data infrastructure.
Key responsibilities include:
- Building scalable data pipelines.
- Designing reliable data architectures.
- Supporting company-wide data expansion.
- Improving platform performance.
- Ensuring system reliability.
The goal is to provide a strong foundation for analytics, reporting, and machine learning initiatives.
Champion Data Quality
Maintaining trustworthy data is a major focus of this position.
Responsibilities include:
- Establishing data quality standards.
- Monitoring production systems.
- Defining service-level agreements (SLAs).
- Improving data reliability.
- Supporting governance initiatives.
High-quality data enables better business decisions and customer experiences.
Collaborate Across Departments
Success in this role requires close collaboration with multiple teams, including:
- Data Science.
- Product Management.
- Software Engineering.
- Business stakeholders.
- Executive leadership.
Working across departments ensures technical solutions align with business objectives.
Hands-On Technical Leadership
Although primarily a leadership role, the Engineering Manager is expected to remain technically involved.
This may include:
- Reviewing code.
- Troubleshooting complex issues.
- Improving ETL pipelines.
- Optimizing database performance.
- Guiding architectural decisions.
Balancing leadership with technical contribution helps maintain engineering excellence.
Required Qualifications
Candidates should typically possess:
- At least 2 years of engineering management experience.
- 5+ years of data engineering experience.
- Strong leadership and mentoring abilities.
- Advanced SQL expertise.
- Proficiency in Python or Java.
- Excellent communication skills.
- Experience building enterprise-scale data systems.
Preferred Technical Skills
Applicants with the following experience may have a competitive advantage:
- Snowflake.
- Apache Airflow.
- Google BigQuery.
- Amazon Redshift.
- Relational and NoSQL databases.
- Data warehouse architecture.
- ETL pipeline optimization.
- Apache Spark.
- Scala.
- Protocol Buffers.
- FinTech industry experience.
Why Work at TrueML?
TrueML offers employees the opportunity to work on technology that positively impacts people's financial well-being while enjoying a supportive remote-first culture.
Benefits may include:
- Competitive salary.
- Flexible remote work.
- Comprehensive health insurance.
- Retirement savings plans.
- Paid time off.
- Professional development opportunities.
- Wellness programs.
- Inclusive and collaborative workplace.
Career Growth Opportunities
Professionals who excel in this position may advance into roles such as:
- Senior Engineering Manager.
- Director of Data Engineering.
- Director of Platform Engineering.
- Head of Data Platform.
- Vice President of Engineering.
- Chief Technology Officer (CTO).
Leadership experience combined with deep technical expertise makes this an excellent pathway toward executive engineering positions.
Why This Opportunity Stands Out
Organizations increasingly depend on high-quality data to power artificial intelligence, analytics, and digital products. As a result, engineering leaders with expertise in scalable data platforms remain among the most sought-after professionals in technology.
Joining TrueML provides the opportunity to:
- Lead talented engineering teams.
- Build mission-critical data infrastructure.
- Influence technical strategy.
- Work with modern cloud technologies.
- Contribute to meaningful financial technology solutions.
This combination of leadership, innovation, and social impact makes the role especially attractive for experienced engineering professionals.
How to Apply
Application Link:
Interested applicants should review the job requirements carefully and apply as early as possible. Remote engineering leadership positions often receive applications from highly qualified candidates worldwide.
Final Thoughts
The Engineering Manager, Data Platform position at TrueML offers an exceptional opportunity for experienced engineering leaders to build scalable data systems while mentoring high-performing technical teams.
With responsibilities spanning platform architecture, engineering leadership, data quality, and cross-functional collaboration, this role provides an excellent platform for career advancement in the growing FinTech industry.
If you're passionate about leading engineering teams, building modern data platforms, and creating technology that improves financial experiences, this remote opportunity at TrueML is well worth exploring.
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