Skip to content
AddeparAddeparSalt Lake City, UT

Manager, Portfolio Data Feeds

As a Manager, Portfolio Data Feeds, you will lead and mentor a team of Portfolio Data Analysts, ensuring data quality and integration. You will work with external financial data providers, analyze and onboard content, and partner with engineering and product teams to deliver data solutions.

Salary not listed
On-site5+ YOEData Engineering

About the role

What You’ll Do

  • Serve as a "player/coach" who will contribute to and supervise a team of Portfolio Data Analysts across the US
  • Develop and maintain effective process controls and accurate metrics to ensure quality standards and organisational expectations are met
  • Manage the onboarding, mentorship, and career development of individuals on the team through timely and effective performance feedback and by providing learning and growth opportunities
  • Lead the team to accomplish goals that are aligned with the organisation’s business and culture objectives and hold self and team members accountable for meeting expectations
  • Work with a variety of external financial data providers to develop and support the integration of their portfolio data into our platform
  • Use your understanding of our existing data models to write technical requirements on how to transform raw data into functional content on our platform
  • Analyze and onboard content from different sources into Addepar’s data integration ecosystem
  • Partner with engineering, product management and data operations to deliver high quality, timely and reliable data solutions
  • Understand Addepar’s products and clients. Using these insights, work with counterparts within the business to drive new and innovative opportunities to improve client experience

Who You Are

  • At least five years of experience in data analysis and product management with relevant finance domain-specific experience
  • Experience with leading teams, cross-functional projects and learning and development initiatives. Proven ability to plan, design, and manage numerous processes, people and projects simultaneously
  • Track record of effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality
  • Ability to work cross functionally to define functional and technical implementations to tackle a business problem. This includes understanding of high level data development concepts, data modeling, and the ability to write and review technical requirements documents
  • Technical skills preferred in any or all of the following: Excel, VBA, SQL, Python, Databricks or other common financial services systems and applications

Skills

ExcelVbaSQLPythonDatabricksData AnalysisData ModelingProduct Management
OnePay

Data Analytics

OnePayUnited States

Senior Analytics Engineer owning OnePay's dbt models, Databricks BI, data quality, and semantic layers on a fast-moving fintech team. Requires 5+ years production analytics engineering, expert SQL/dbt, Databricks experience, and daily AI coding tool usage.

130k – 170k/yr
Remote5+ YOEData Engineering
Hilbert

Forward Deployed Data Engineer (Integration)

HilbertSan Francisco, CA

Forward Deployed Data Engineer building hybrid data pipelines and semantic layers for Hilbert's AI Growth Engine. Implements warehouse-native or managed ClickHouse integrations, partners with AI agents for accelerated onboarding, and ensures reasoning consistency across customer environments.

Salary not listed
HybridData Engineering
The Voleon Group

Software Engineer, Data Infrastructure

The Voleon GroupNew York, NY +1

Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.

235k – 300k/yr
Remote3+ YOEData Engineering
Hinge Health

Client Delivery Specialist

Hinge HealthSan Francisco, CA

Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.

80k – 120k/yr
HybridData Engineering
xAI

Software Engineer

xAIPalo Alto, CA

Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.

125k – 400k/yr
On-site3+ YOEData Engineering