Engineering Manager, Data Engineering
Quick Summary
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 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.
As the Engineering Manager for our Data Platform, you will be the primary architect of the ecosystem that powers TrueML’s intelligence. We are currently in a phase of purposeful scaling, and we need your leadership to build a rock-solid, high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. Your goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion.
Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence.
Architect Resilient Infrastructure: Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion.
Champion Data Trust: Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes.
Collaborate Strategically: Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models.
Maintain Technical Excellence: Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance.
Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when the mission requires it.
Drive Data Accessibility: Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company.
An Experienced Leader: You have 2+ years of hands-on management experience and 5+ years of relevant data engineering expertise, with a track record of growing teams through coaching.
A Big Data Expert: You have deep familiarity with modern technologies like Snowflake, Airflow, BigQuery, or Redshift, and mastery of both RDBMS and NoSQL databases.
A Master of the Stack: You possess advanced proficiency in Python or Java and expert-level SQL skills, specifically in scaling schemas and tuning ETL performance.
A Systems Thinker: You have extensive experience designing data warehouses 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.
Purpose-Driven: You thrive in environments that value intentional progress and are excited to mature a data ecosystem from the ground up.
Bonus Skills: You bring experience with Spark, Scala, or Protocol Buffers, or you have navigated the unique regulatory challenges of the FinTech industry.
What We Offer
~1 min readRequirements
~1 min readThis role supports a global, cross-functional business and operates primarily in a Remote-First environment. However, flexibility outside of standard business hours and occasional local or international travel may be necessary for global operations support, company meetings, training, offsites, and collaborative projects.
This position primarily involves computer-based work, requiring extended periods at a computer, participation in virtual meetings, and use of standard office technology. We will consider reasonable accommodations to enable individuals to perform the essential functions of the role.
Maintaining a reliable internet connection and a professional work environment is expected. The ability to protect confidential company, employee, customer, and business information while working outside of a company office is also required.
We collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
We are an equal opportunity employer. We promote, value, and thrive with a diverse and 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, disability status, or other protected characteristics.
Location & Eligibility
Listing Details
- Posted
- April 13, 2026
- First seen
- April 13, 2026
- Last seen
- May 19, 2026
Posting Health
- Days active
- 36
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 20, 2026
Signal breakdown

TrueML Technologies focuses on creating technology solutions aimed at enhancing the customer experience within the financial services industry.
View company profilePlease let Trueml know you found this job on Jobera.
Similar Engineering Manager jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.