Senior Data Engineer: Data Warehouse & ETL Specialist

TWO; Minnesota; On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Medical / Dental / Vision Insurance

Life / Disability Insurance

401(k) with company matching

Generous Vacation / Paid Time Off

Targeted Compensation: $95,000-$120,0

Job summary

Two Harbors Investment Corp. seeks a Data Engineer to develop and maintain data solutions, build automated ETL processes, and optimize SQL for large datasets.

You will work with analysts, product managers and QA to ensure robust data pipelines and scalable data warehouse performance. Responsibilities include maintaining relational schemas, collaborating across teams, and delivering compliant data solutions under enterprise standards.

Qualifications

• 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.
• Experience with data transformation tools like SSIS.
• Advanced SQL knowledge and proficiency with relational databases.

Responsibilities

• Develop and deliver data solutions that comply with development standards.
• Maintain relational database schemas with defined tables, relationships and constraints.
• Build automated ETL processes to load data into a centralized data warehouse.
• Optimize complex SQL queries, indexing strategies and execution plans for large datasets.
• Collaborate with developers to meet deliverables and schedules within a data solution component.
• Support business and technology teams to ensure scalable data solutions.
• Maintain data and database systems to meet business needs and delivery specs.
• Communicate effectively with cross-functional teams.

Skills

SQL (T-SQL)

SSIS

Data warehousing

Relational databases

Data modeling

Data governance

Analytical skills

Job description

Two Harbors Investment Corp. seeks a Data Engineer to develop and maintain data solutions, build automated ETL processes, and optimize SQL for large datasets.

You will work with analysts, product managers and QA to ensure robust data pipelines and scalable data warehouse performance. Responsibilities include maintaining relational schemas, collaborating across teams, and delivering compliant data solutions under enterprise standards.