Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
446 Wrenplace Rd, Fort Mill, SC 29715, USA; 3401 Olympus Blvd, Coppell, TX 75019, USA
Live, first seen by us 22 days agoBuild automated processes to extract, transform and load data into a central warehouse
Maintain the relational database schema, tables, relationships and constraints
Optimize complex SQL queries, indexing and execution plans for large datasets
Develop and deliver data solutions that follow development standards
Support and maintain data and database systems to meet business needs
Build automated processes to Extract, Transform and Load data from various sources into a centralized data warehouse.
Maintaining a relational database schema. This includes defining tables, relationships and constraints to ensure data integrity.
Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets efficiently.
Develop and deliver data solutions that comply with development standards.
Support and maintain data and database systems to meet business delivery specifications and needs.
5+ years proven experience in
Hands-on experience with data warehouse solutions
Proficiency with the SQL query language, preferably Microsoft T-SQL.
Using data transformation tools like SSIS
Strong understanding of data modeling and best practices in data governance.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 22
Similar jobs usually come down between day 6 and day 54.
At TWO Harbors Investment, jobs usually come down by about day 74.
From 11,069 similar postings that came down, and 5 of TWO Harbors Investment’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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. Qualifications 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
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 Preferred:
Preferred: Experience in Azure Data Factory Experience in Active Batch scheduling software Experience in Snowflake Physical Demands & Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job:
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Yes. We’ve followed 2 other Data Engineer jobs there since July 2026. One came down after 74 days. One is still up.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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446 Wrenplace Rd, Fort Mill, SC 29715, USA; 3401 Olympus Blvd, Coppell, TX 75019, USA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.