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.
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.
- 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.
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.
For California Applicants: 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.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
TrueML seeks a Manager of Quality Engineering to architect AI-first test automation, embed quality into the development lifecycle, and mentor a high-performing QE team in a remote-first fintech environment.
Experienced Principal Data Engineer needed to design and develop large-scale, cloud-native data and ad-tech systems leveraging serverless, event-driven architectures and AI to power NBCUniversal's audience and advertising products.
NIQ is hiring an experienced Commercial Data Manager to set data standards, drive data quality, and govern sales and product data that underpin revenue operations and decision-making.
Gartner is hiring a Data Engineer - Production Support to manage daily Azure-based data warehouse operations, ensuring high data quality and stable ETL/ELT processes.
The Red Sox are hiring a Data Engineer to maintain and enhance their GCP-based data architecture, building ETL pipelines and monitoring to support business teams across the organization.
Lead Data Engineer to guide Data Operations and Analytics Engineering, ensuring a reliable Databricks lakehouse and high-quality analytics that power OneOncology’s mission.
Senior analytics leader needed to build AI-enabled analytics, establish company-wide metrics and governance, and turn data into actionable recommendations across Sur La Table's commerce and operations functions.