Lead Data Engineer

Reprise Financial

Job Overview

Location

Dallas, Texas - Remote

Job Type

Full-time

Full Job Description

📋 Description

• Lead the design, development, and maintenance of scalable data pipelines and ETL workflows using Azure Data Factory, Fabric Data Factory, SSIS, and SSMS to enable enterprise-wide data integration and transformation.
• Architect and own data solutions across multiple domains, including BI, analytics, data integration, and cloud architecture, ensuring alignment with enterprise standards and technical direction.
• Build, test, deploy, and optimize robust database systems using SQL Server, including Tables, Views, Stored Procedures, and Functions, following best practices for performance and scalability.
• Integrate data from diverse sources including flat files, Excel, Oracle, SQL Server, XML, XSL, JSON, and leverage SFTP and REST APIs for data ingestion and delivery.
• Assemble complex, large-scale datasets that satisfy functional and non-functional business requirements for analytics, reporting, and decision-making.
• Identify and automate manual processes to improve data delivery efficiency, optimize infrastructure for scalability, and reduce technical debt in data systems.
• Implement and maintain source control practices using DevOps principles, including CI/CD pipelines, code reviews, and change management procedures for production deployments.
• Conduct root cause analysis for production data issues with minimal supervision and resolve critical system failures impacting data integrity and availability.
• Document ETL processes, data flows, system integrations, and data lineage for audit, compliance, and knowledge transfer purposes; create user guides and technical reference materials.
• Collaborate with Analytics, IT, and business teams to define data requirements, ensure accurate data flow, and deliver solutions that enable data-driven decision-making.
• Lead and mentor junior data engineers and architects, promoting knowledge sharing, technical growth, and adherence to architectural patterns and standards.
• Apply Agile methodologies using JIRA and Azure Boards to break down complex projects into user stories, manage sprints, and improve team delivery efficiency.
• Support data governance initiatives including metadata management, data cataloging, and data quality improvement in collaboration with cross-functional teams.
• Continuously learn the business context of financial data including loan origination, servicing, payments, and collections to enhance the relevance and impact of data solutions.
• Ensure all data systems and processes meet regulatory, compliance, and security requirements in a highly regulated financial services environment.
• Maintain up-to-date technical and non-technical documentation to support operational stability and team onboarding.
• Work closely with product owners and program leaders to influence roadmap decisions and platform strategy based on data architecture needs and business priorities.
• Foster a team culture of collaboration, innovation, and accountability, where ideas are openly shared and technical excellence is celebrated.
• Stay current with emerging data technologies and cloud platforms, including Microsoft Azure, AWS, GCP, and Snowflake, to ensure the organization leverages best-in-class solutions.
• Prioritize customer focus by delivering data products that are accessible, accurate, and actionable for end-users across the organization.

🎯 Requirements

• 8+ years of experience in a Lead Data Engineer, Data Engineer, or Data Architect role
• Proven expertise in Microsoft Azure and Microsoft Fabric platforms for data engineering and ETL orchestration
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related technical field
• Strong proficiency in SQL, T-SQL, PySpark, Spark SQL, and Python for data transformation and pipeline development
• Experience designing and maintaining data warehouses and lakehouses with cloud platforms (Azure, AWS, GCP, Snowflake)
• Demonstrated experience with ETL tools including Azure Data Factory, SSIS, SSMS, and Fabric Data Factory

🏖️ Benefits

• Comprehensive medical, dental, and vision coverage with HSA contributions and access to an Employee Assistance Program (EAP)
• 401(k) program with Safe Harbor Match (100% of first 3%, 50% of next 2%)
• 12-week Paid Parental Leave
• Accrued time off, company holidays, and 3 floating holidays
• Market-driven salary range of $135k–$160k with eligibility for variable annual bonus based on company and individual performance
• Robust tech package to support remote productivity and system reliability

Skills & Technologies

Python

AWS

Azure

GCP

REST

Senior

Remote

Degree Required

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Reprise Financial

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About Reprise Financial

Reprise Financial is a leading provider of comprehensive debt collection and accounts receivable management services. They specialize in recovering past-due accounts for a diverse range of industries, including healthcare, financial services, and government. Leveraging advanced technology and data analytics, Reprise focuses on ethical and compliant collection practices. Their approach emphasizes customer service and maintaining positive relationships with debtors while maximizing recovery rates for their clients. Reprise Financial is committed to delivering tailored solutions that meet the unique needs of each client, helping them improve cash flow and reduce financial risk through effective debt recovery strategies.

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