Senior Data Modeling Engineer

United Statesfull_timeVerifiedPosted 17 Jun 2026

About the role

JOB TITLE: Senior Data Modeling Engineer
EMPLOYER: A-CAP Services LLC
DEPARTMENT: Financial Technology
REPORTS TO: Chief Technology Officer
LOCATION: Onsite in Miami (Brickell)

ABOUT THE COMPANY
A-CAP is a leading provider of capital and third-party asset management solutions. Through our synergistic platform of insurance carriers, reinsurers, and asset management businesses, A-CAP delivers tailored capital solutions to individuals, insurance companies, and small- to medium-sized businesses.

Backed by a leadership team and operational experts with deep expertise across insurance, reinsurance, and asset management sectors, A-CAP is committed to delivering meaningful results and adding value to our clients and capital partners. This commitment is demonstrated through the industry-leading risk-adjusted returns we achieve, and the innovative capital solutions we provide to meet the needs of a diverse range of partners.

A-CAP's Core Business Includes:

Capital Solutions
Commercial Real Estate
Third-party Asset Management
Private Credit
Primary Insurance Carriers
Accredited Reinsurers

ABOUT THE ROLE
We are seeking a highly motivated and analytically driven Senior Data Modeling Engineer to join our team at the intersection of accounting, actuarial science, and technology. This role is critical to our data ecosystem, supporting the ingestion, validation, and analysis of complex financial and annuity data received from third-party administrators (TPAs), banks, custodians, and other financial counterparties. The ideal candidate brings a rare blend of financial acumen, investigative curiosity, and technical skill — someone who can bridge the gap between business stakeholders and data systems.

WHAT YOU WILL DO:

Data Ingestion & Management — Receive, process, and manage data files from TPAs, banks, custodians, and other external financial partners, ensuring accuracy, completeness, and timeliness
Annuity & Accounting File Processing — Work extensively with annuity administration data and accounting files; understand their structure, content, and downstream implications
Data Investigation & Root Cause Analysis — Apply strong investigative skills to identify data anomalies, reconciliation breaks, and discrepancies; trace issues to their source and drive resolution
Cross-Functional Collaboration — Serve as a key liaison between Accounting, Actuarial, and Technology teams, translating business requirements into data solutions and vice versa
SQL Querying & Analysis — Write and maintain SQL queries to extract, transform, and validate data; support ad hoc analysis requests from finance and actuarial teams
Data Quality & Controls — Establish and monitor data quality checks and controls; document data lineage and transformation logic
Reporting Support — Assist in the preparation of data feeds and summaries supporting financial statements, actuarial valuations, and regulatory reporting
Process Improvement — Identify opportunities to automate or streamline data workflows, reducing manual effort and error risk

WHAT YOU WILL NEED:

Bachelor's degree in Finance, Accounting, Information Systems, Mathematics, or a related field.
Proven ability to collaborate effectively across cross-functional teams, including Finance, Actuarial, Operations, and Technology.
Strong analytical and investigative skills with the ability to identify data issues, determine root causes, and drive resolution.
Experience with ETL processes, data pipelines, workflow automation tools, and cloud-based data platforms (e.g., Python, SSIS, Alteryx, dbt, Snowflake, AWS, Azure).
Experience managing and validating structured financial data from internal and external sources, including TPAs, custodians, banks, and other third-party providers.
Proficiency in SQL, including writing and optimizing queries using joins, aggregations, and data transformations.
Familiarity with actuarial and insurance data concep