Data Engineer

Expansion Capital Group • Sioux Falls, SD

just now • Onsite

About The Position

We are seeking a detail-oriented and innovative Data Engineer to design, build, and maintain scalable data pipelines and infrastructure across technology and operations. This role combines hands-on engineering with a strong emphasis on data quality, documentation, and collaboration. The ideal candidate will be skilled in managing data workflows, optimizing performance, and producing clear, structured documentation that supports project clarity and compliance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 1+ years of experience in data engineering, preferably in a technical or regulated environment.
• Strong programming skills (e.g., Python, SQL, Scala) and experience with data engineering tools (e.g., SSIS, Apache Spark, Airflow, dbt).
• Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions.
• Experience with project management tools (e.g., Jira, Asana, Trello) and documentation platforms (e.g., Confluence, SharePoint).
• Familiarity with software development lifecycle (SDLC) and Agile methodologies.
• Excellent attention to detail and quality of work.
• Strong problem-solving skills.
• Strong verbal and written communication skills.
• Strong organizational skills to assist in managing multiple projects and tasks.

Nice To Haves

• Experience in financial services, SaaS, or compliance-driven industries.
• Ability to create data flow diagrams and technical documentation templates.
• Desire to make an impact.

Responsibilities

• Data Pipeline Development
• Architect, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data across multiple departments.
• Optimize data workflows for reliability, scalability, and performance.
• Integrate internal and third-party data sources for seamless analytics and reporting.
• Data Modeling & Management
• Design and implement efficient data models and storage solutions (e.g., relational, NoSQL, cloud-based).
• Ensure data integrity, security, and compliance with organizational standards.
• Support data governance initiatives and maintain metadata repositories.
• Documentation & Technical Writing
• Create and maintain comprehensive documentation for data pipelines, models, and infrastructure.
• Translate complex technical concepts into user-friendly documentation for internal and external stakeholders.
• Partner with helpdesk and knowledge base teams to ensure documentation is accessible and up to date.
• Stakeholder Engagement
• Serve as liaison between data engineering, analytics, business units, and leadership.
• Present project updates, risks, and mitigation strategies to executive stakeholders.
• Support training and onboarding materials for new data systems or processes.
• Quality & Compliance
• Support UAT and QA planning, ensuring data solutions align with compliance standards.
• Assist in change management efforts and maintain version control of documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level