> Markdown version of [/jobs/ext/183222-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/183222-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Skopos Financial, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $135,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Amazon Web Services, Data Analysis, Confluence, JIRA, Unit Testing, Microsoft Azure, Big Data, Bioinformatics, Cloud Computing, Code Review, Information Systems, Databases, Continuous Integration, Data Architecture, Data Files, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Structures, Data Systems, Data Warehousing, Relational Databases, Database Development, DevOps, Apache Hive, JSON, Python (Programming Language), Metadata, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Cloud Services, Simple Data Format, SQL Stored Procedures, SQL Databases, SQL Server Integration Services, Data Streaming, Systems Integration, Transact-SQL, Extensible Markup Language (XML), Extensible Stylesheet Language (XSL), Enterprise Data Management, Google Cloud, File Transfer Protocol (FTP), Cloud Platform System, Azure Data Factory, Snowflake, Microsoft Fabric, Pyspark, Information Technology, Data Lineage, Maintaining Code, Build Process, SQL Server Management Studio (SSMS), Data Delivery, Restful APIs, Software Version Control, Data Pipelines - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5d6915078598b241 ## About the Role Do you have experience in XML?, Do you have a Master's degree?, * We are looking for a candidate with 8+ years of experience in a Lead Data Engineer, Data Engineer, and/or Data Architect role * Experience one or more Data Architecture Domains: BI Architect, Analytics Architect, Data Architect, Data Integration/ETL Architect, Data Governance Architect, and/or Cloud Architect * Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or relevant technical degree * Strong knowledge of data warehouse and lakehouse concepts. * Strong analytic skills related to working with structured, semi-structured, and unstructured datasets * Experience with cloud migration from on-prem or from another cloud platform is a big plus * Experience with cloud data platforms like Microsoft Azure, Microsoft Fabric, Amazon Web Services, Google Cloud Platform, and Snowflake, as well as, Microsoft SQL Server, ensuring scalable data solutions * Proficient with building ETL processes using tools such as SSMS, SSIS, Azure Data Factory, and Fabric Data Factory * Proficient with SQL, Spark SQL, PySpark, and Python working with relational databases, as well as, working familiarity with a variety of databases. Experience building and optimizing big data pipelines, architecture, and data sets * Proficient in T-SQL, Stored Procedures, and Functions using REST APIs * Experience performing ad-hoc and root cause analysis on internal and external data, and processes to answer specific business questions to identify opportunities for improvement. * Build processes supporting data transformation, data structures, metadata, dependency, and workload management * Experience supporting and working with cross-functional teams in a dynamic environment * Experience maintaining code base using source control and Dev-Ops including CI/CD * Experience developing and maintaining technical and non-technical documentation. Confluence experience is a plus * Data governance experience involving implementation and management of data cataloging, metadata management, and data lineage tracking. Experience collaborating with cross-functional teams to improve data quality, classification, and lifecycle management * Knowledge of financial data structures, including loan origination, servicing, payments, and collections is a plus * Excellent verbal and written communication skills * Good interpersonal skills with proven problem-solving abilities Critical Skills: * Customer Focus: Strong drive to meet data consumer needs and deliver effective solutions. * Critical Thinking: Ability to analyze data and solve problems to reach well-reasoned solutions. * Team Mentality: Ability to work effectively within a team to achieve common goals. * Learning Agility: Openness to learning new technologies and methodologies to maintain a competitive edge. ## Description Reprise Financial is seeking a passionate and highly motivated Lead Data Engineer Microsoft Azure and Fabric platform experience to join our Enterprise Data Management team. The ideal candidate will be responsible for designing, developing, and maintaining Data Architecture and ETL processes that support data movement, transformation, and integration across multiple systems. In this role, you will design, build, and maintain data pipelines and ETL jobs that are essential for allowing the enterprise to access and interpret data effectively. You will be integral in architecting and delivering modern data solutions, working cross-functionally with Analytics, IT, and business teams to ensure reliable data pipelines for performance and scalability., * Collaborate with and support cross-functional teams to ensure accurate and efficient data flow across systems * Defines architectural strategy across programs or domains, handles highest-risk, highest-value solutions, influences enterprise standards and vendor selection, and advises leadership on technical direction * Leads architecture for large, complex or cross-domain solutions, mentors junior architects and engineers, defines architecture standards and patterns, manages technical risk and architectural debt, partners closely with product owners and program leaders, and influences roadmap and platform strategy * Develop, integrate, test, deploy and maintain scalable ETL pipelines and workflows using tools such as SSMS, SSIS, Azure Data Factory, and Fabric Data Factory. * Integrate data utilizing industry standard file formats such as flat files, Excel, Oracle, SQL Server, XML, XSL, and JSON. Get/Post data using SFTP and REST APIs. * Use database design and development best practices to design and maintain robust database systems involving development, implementation, and optimization of various DB objects such as Tables, Views, Stored Procedures, and Functions. * Assemble large, complex data sets that meet functional / non-functional business requirements. * Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. * Develop and perform unit tests; maintain up-to-date code in source control. * Collaborate on code reviews and adhere to change management processes to deploy changes to production systems. * Troubleshoot issues reported by users and perform root cause analysis for production issues with minimal guidance. * Document ETL processes, data flows, and system integrations for audit and compliance purposes. Develop user guides and reference documents. * Use Agile best practices to enhance team efficiency and product delivery. Leverage JIRA / Azure Boards for writing detailed user stories, breakdown complex projects into manageable tasks to ensure smooth sprint execution. * Continuously learn about the business and the data that supports it., This position is fully remote but based in Dallas, Texas. While you will primarily work from home, you are always welcome to visit our office in Irving, TX, whenever you choose. We encourage our remote team members to stay connected through regular virtual meetings and team events. All team members must reside in one of our approved locations by their start date, ensuring you remain part of our collaborative community., * Pursue Excellence: We strive for the highest quality, ensuring our tools and services truly aid in our customers' success. * Make a Meaningful Impact: We focus on delivering outcomes that genuinely improve financial well-being. * Commit to Innovation: Our innovative approach keeps us at the forefront of providing effective financial tools. * Champion the Customer: We prioritize our customers' financial goals, tailoring our tools to meet their unique needs. * Collaborate with Purpose: Our teamwork drives us to develop superior solutions that empower customers. * Lead with Kindness: Respect and empathy are central to our operations, creating a supportive environment for success. Equal Employment Opportunity Employer At Reprise Financial, we are dedicated to fostering an inclusive community where every individual is valued. We are an Equal Employment Opportunity employer-ensuring that all qualified applicants and employees receive consideration for employment without regard to age, race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. We believe that diversity strengthens our organization and drives innovation, and we are committed to creating a workplace that reflects the rich variety of our communities. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)