Data Engineer at Expansion Capital Group

Sioux Falls, South Dakota, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, ETL, ELT, Data Modeling, Data Management, Data Integrity, Documentation, Technical Writing, Stakeholder Engagement, Quality Assurance, Python, SQL, Scala, Cloud Platforms, Agile, Project Management

Industry

Financial Services

Description

Description Reports to: Vice President of IT Classification: Full Time, Exempt JOB DESCRIPTION Summary/Objective 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. Essential Functions 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. Requirements Required Education and Experience 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. Additional Eligibility Qualifications 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. Experience in financial services, SaaS, or compliance-driven industries. Ability to create data flow diagrams and technical documentation templates. Desire to make an impact. Supervisory Responsibility This position does not have any supervisory responsibility. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines. Physical Demands The physical demands described here are representative of those that an employee must meet to perform the essential functions of this job successfully. This is largely a sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets, and bending or standing on a stool as necessary. Position Type/Expected Hours of Work This is a full-time position, and hours of work and days are Monday through Friday, 8:00 a.m. to 5:00 p.m. Occasional evening and weekend work may be required as job duties demand. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure, focusing on data quality and collaboration. This role includes developing ETL/ELT pipelines, optimizing data workflows, and ensuring compliance with organizational standards.