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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Two Harbors Investment Corp. - **Location:** St. Louis Park, MN, United States - **Experience:** Expert - **Salary:** $95,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Databases, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Microsoft SQL Server, Software Engineering, SQL Databases, SQL Server Integration Services, Transact-SQL, Freeform SQL, Azure Data Factory, Database Optimization, Data Pipelines - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0a67be0be29a8d3f ## About the Role Do you have experience in Schema design?, Required: * 5+ years proven experience in * A data-centric role within a collaborative data and technology team * Writing and optimizing complex SQL queries to extract large datasets * Using data transformation tools like SSIS * Advanced SQL knowledge and proficiency in working with relational databases * Hands-on experience with data warehouse solutions * Proficiency with the SQL query language, preferably Microsoft T-SQL. * Strong understanding of data modeling and best practices in data governance. * Excellent problem-solving skills and the ability to work independently as well as collaboratively to resolve data-related issues. * In lieu of education the following equivalent experience will be accepted: development life cycle of projects lasting longer than two years, requirements gathering, business and technical designs, development, quality assurance, deployment, support and documentation. * Must be flexible, action and results oriented, self-starting, have strong analytical skills, and be comfortable with a Microsoft SQL business intelligence environment * Familiarity with financial and/or mortgage servicing data but not mandatory * Experience in Azure Data Factory a plus * Experience in Active Batch scheduling software a plus ## Description The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the development and delivery of data solutions and maintaining the enterprise data warehouse. You will work closely with business analysts, product managers, quality assurance and business stakeholders to effectively implement data solutions. This role will be responsible for building and maintaining data pipelines, optimizing performance of database environments and automating data processes. Responsibilities * Develop and deliver data solutions that comply with development standards. * Maintaining a relational database schema. This includes defining tables, relationships and constraints to ensure data integrity. * Build automated processes to Extract, Transform and Load data from various sources into a centralized data warehouse. * Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets efficiently. * Effectively assist in day-to-day tasks / activities in coordination with a team of developers to effectively meet the deliverables and schedule of a data solution component within a larger application project. * Lend support to various business and technology teams as necessary during design, development and delivery to ensure solid, scalable, robust data solutions. * Support and maintain data and database systems to meet business delivery specifications and needs. * Exceptional oral and written communication skills, facilitating effective cross-functional collaboration. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)