Senior Data Engineer (.Net/SQL)

Growth Acceleration Partners•Colorado Springs, CO

1d•Remote

About The Position

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. We are looking for a Senior Data Engineering/.Net Software Engineer with strong expertise in SQL, analytics, and data engineering practices. This role will primarily focus on data modeling, data transformation, analytics workflows, and supporting reporting initiatives within a data-driven environment. The ideal candidate has a strong background in data and analytics combined with technical exposure to software development technologies such as .NET, allowing for effective collaboration with engineering teams and integration initiatives. As a senior engineer, you will bring strong problem-solving capabilities, technical ownership, and the ability to collaborate across multidisciplinary teams while contributing to the strategic direction of data initiatives.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related technical field.
5+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or related data-focused roles
Strong hands-on experience working with SQL and relational database systems
Experience building and maintaining ETL/ELT processes and data pipelines
Experience working with BI and data visualization tools such as Power BI, Tableau, or similar platforms
Demonstrated experience in technical ownership, collaborating across multidisciplinary teams, and managing stakeholders
Strong experience in several of the following areas: Data Engineering & Architecture: SQL (complex querying, optimization, performance tuning), ETL/ELT processes, Data Warehousing, Data Lakes/Lakehouses
Data Fundamentals: Data transformations, data cleaning, exploratory data analysis, data quality validation, and data modeling
Cloud Data Platforms: Experience working with cloud-based data environments such as Azure, AWS, or GCP
Business Intelligence: Reporting and visualization tools, preferably Power BI (DAX, data modeling, dashboard development) or Tableau
Backend & Integrations: Technical background or exposure to .NET/C#, APIs, and backend integrations (knowledge of Java or React is a plus)
Advanced English proficiency
Strong communication skills, especially in technical and client-facing conversations
Strong analytical, problem-solving mindset, and a continuous learning attitude
Excellent time management, organizational, and stakeholder management skills

Nice To Haves

Experience supporting enterprise Data Governance initiatives
Familiarity with Healthcare or other highly regulated environments
Experience with performance optimization and large-scale data processing
Knowledge of Java or React is a plus

Responsibilities

Design, build, and maintain robust ETL/ELT processes, scalable data pipelines, and analytics workflows
Perform complex data modeling, data transformation, and data cleaning to support enterprise reporting initiatives
Develop and optimize complex SQL queries, ensuring absolute data integrity and high system performance
Collaborate with cross-functional engineering teams to integrate data solutions with .NET backend applications and APIs
Develop comprehensive reports, dashboards, and analytical solutions using BI tools to translate technical data into actionable business insights
Drive data governance, data quality validation, and exploratory data analysis best practices