Senior Data Modeling Engineer

Acap

$100K — $130K *
Miami, FL 33186In-Person
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Finance, Accounting, Information Systems, Mathematics, or a related field.
  • 5+ years of experience in data engineering, data analytics, financial data management, or a related role.
  • Proficiency in SQL for writing and optimizing complex queries.
  • Experience with ETL processes and cloud-based data platforms, including Python, SSIS, and Snowflake.
  • Familiarity with financial principles and regulatory requirements in the insurance sector.

Responsibilities

  • Manage and validate data ingestion from external financial partners.
  • Process and analyze annuity administration and accounting data files.
  • Conduct root cause analysis on data discrepancies and resolve issues.
  • Collaborate with cross-functional teams to translate business needs into data solutions.
  • Write and optimize SQL queries for data extraction and validation.
  • Establish data quality checks and document transformation logic.
  • Identify and implement process improvements for data workflows.

Benefits

  • Employer-sponsored medical, dental, and vision insurance.
  • Paid Life & AD&D Insurance for employees and families.
  • Paid Disability Insurance (STD + LTD).
  • Paid Parental Leave.
  • Paid Vacation and Sick Leave.
  • Safe Harbor 401(k) plan with employer match.
  • Voluntary Supplemental Insurance.
Full Job Description
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 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 concepts, including reserves, policy liabilities, and valuation data.
  • Working knowledge of accounting principles, general ledger concepts, financial statements, and insurance regulatory reporting requirements (GAAP, Statutory, and NAIC).
  • Experience within the insurance or financial services industry, including hands-on exposure to annuity products, annuity administration data, and related business processes.
  • 5+ years of experience in data engineering, data analytics, financial data management, or a related role.

WHO WE ARE:

www.acap.com

BENEFITS:

A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes:
  • Competitive compensation programs
  • Employer-sponsored medical, dental, and vision insurance
  • Paid Life & AD&D Insurance (for employees and families)
  • Paid Disability Insurance (STD + LTD)
  • Paid Parental Leave
  • Paid Vacation and Sick Leave
  • Paid Holidays
  • Voluntary Supplemental Insurance
  • Safe Harbor 401(k) plan with employer match
  • And other benefits and perks!

POSITION TYPE AND EXPECTED HOURS OF WORK:

This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department.

US Work Authorization Is Required
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

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