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Engineering Manager, Data Services

Trueml

United States$150,000 - $250,000 / yearOther

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

What You’ll Do:

  • Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and establishing a strong engineering mindset focused on vertical delivery alignment.
  • Lead Event Bus Architecture: Own the strategic design, development, and evolution of the Common Event Bus (CEB) architecture to ensure resilient, scalable, and company-wide real-time data distribution.
  • Drive Platform Modernization: Actively manage technical debt and guide the team through migrations from legacy processing frameworks and data services into a modernized data stack.
  • Collaborate Strategically: Partner cross-functionally with Data Science, Product, and business stakeholders to translate complex business needs into efficient, well-documented data models.
  • Maintain Technical Excellence: Perform high-impact code reviews, optimize data pipelines, and provide critical guidance on performance and scalability.
  • Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when critical mission-focused needs arise.

Who You Are:

  • An Experienced Leader: You have 2+ years of hands-on engineering management experience and a proven track record of growing technical teams through coaching and mentorship.
  • A Master of the Stack: You possess advanced proficiency in Python, Java, or Golang, alongside expert-level SQL skills.
  • A Systems Thinker: You have extensive experience designing data platforms, real-time streaming pipelines, and workflow systems, including owning SLAs for critical production processes.
  • An Elite Communicator: You are a natural bridge-builder who can translate deep technical hurdles into clear, actionable updates for business partners and cross-functional stakeholders.
  • Purpose-Driven: You thrive in environments that value intentional progress and are excited to mature a data ecosystem from legacy frameworks into a modern, scalable stack.

Bonus Skills:

  • Experience with Spark, Scala, Benthos, or Protocol Buffers.
  • Experience navigating the unique compliance and regulatory challenges of the FinTech or financial services industry.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
  • 7+ years of total experience in Data Engineering, Platform Engineering, or Software Engineering.
  • 2+ years of experience explicitly in a leadership or management role.
  • Proven experience executing data platform migrations and managing technical debt.

Physical Requirements:

Ability to remain in a stationary position for prolonged periods and use computer terminals with multiple monitors.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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