100% remote in the following states: FL, CA, VA, WI, IL, ID, NY, GA, MS, or MN (Optional Hybrid in MN)

About Ampact: Ampact is a national nonprofit that specializes in implementing and scaling evidence-based AmeriCorps programs across three focus areas: education, environment, and healthy futures. Most of the programming at Ampact is focused on education – specifically through the Reading Corps, Math Corps and Early Learning Corps programs. These programs have a 20-year track record in providing high-dosage tutoring to over 50,000 students annually and have been tested rigorously through independent evaluations. Ampact has experienced significant growth in recent years and has ambition for continued growth.

Ampact has 325+ employees and 3,500+ AmeriCorps members across 10 states. Its annual operating budget is $115 million. Ampact is headquartered in Minneapolis, Minnesota with employees located in 10 states.

Candidates must have legal authorization to work in the US without the need for employer sponsorship, both now and in the future. Ampact is unable to sponsor visas or work permits.

We are seeking a highly skilled and motivated Data Engineer to own Ampact’s data and architecture. This individual will play a pivotal role in designing, implementing, and maintaining robust data management processes and procedures. Leveraging your expertise in data architecture, integration, and governance, you will collaborate cross-functionally to ensure the quality, integrity, accessibility, efficiency, and security of our organization's data assets. In addition, you will play a crucial role in designing and maintaining data structures that enable efficient storage, retrieval, and analysis of information across our organization.  

Essential Functions 

• Implement and execute performance tuning strategies to optimize system efficiency, including analyzing bottlenecks, fine-tuning configurations, and optimizing queries for improved response times and resource utilization. 

• Develop and implement robust data models to support business requirements using relational and dimensional modeling techniques, data normalization, and schema design to ensure scalability, performance, and data integrity within the organization's databases and systems. 

• Develop comprehensive data roadmaps outlining the strategic direction for data management, integration, and utilization, including identifying key milestones, technologies, and processes to ensure alignment with organizational goals and objectives. 

• Reverse engineer data systems and vendor applications to understand data structures, relationships, and integration points, enabling effective data extraction, transformation, and loading (ETL) processes for data migration, integration, and analysis purposes. 

• Investigate data sources, understand data repositories, and create documentation for future optimization. 

• Provide actionable recommendations to key stakeholders and business teams for improving data quality, reliability, and efficiency based on the analysis of integrity issues and process inefficiencies.  

• Collaborate in the development of data roadmaps outlining strategic initiatives to address identified gaps and drive continuous improvement. 

• Establish and maintain data lineage documentation, mapping the flow of data from its origin through various transformations and systems, ensuring transparency and traceability for compliance, auditing, and troubleshooting purposes. 

• Provides thought leadership to develop new or improved processes, methodologies, systems, tools and/or services to enhance operating environment based on practical experience, optimal outcomes, and best practices.  

Qualifications 

Minimum Education 

• Bachelor's degree in Computer Science, Information Technology, or a related field.  

Minimum Experience 

• 5+ years’ experience in data modeling, database design, and data architecture roles. 

• 3+ years’ experience in data management, data governance, or related roles. 

• Strong understanding of data management concepts, including data modeling, data quality, metadata management, and data security. 

• Experience with data management tools and platforms, such as data cataloging tools, metadata management tools, and data governance frameworks. 

• Proficiency in data modeling tools such as ERwin, ER/Studio, PowerDesigner, or similar. 

• Strong understanding of relational database concepts and SQL, with experience in designing and optimizing database schemas, indexes, and queries. 

• Familiarity with dimensional modeling techniques and data warehousing concepts is desirable. 

• Experience with NoSQL databases such as MongoDB, Cassandra, or Elasticsearch is a plus. 

• Familiarity with database management systems (e.g., SQL Server, Oracle, MySQL) and data integration technologies (e.g., ETL, ELT). 

• Excellent analytical and problem-solving skills with a keen attention to detail. 

• Effective communication and interpersonal skills with the ability to collaborate with stakeholders at all levels of the organization. 

• Ability to work independently and manage multiple priorities in a fast-paced environment. 

• Certification in data management or related areas (e.g., CDMP, DAMA) is a plus. 

• Knowledge of regulatory compliance requirements, such as GDPR, HIPAA, SOX, etc., is desirable. 

Physical Requirements 

Ampact is committed to compliance with the Americans with Disabilities Act and will make reasonable accommodations as possible to enable employees to perform the essential functions of their positions.  

This position requires the ability to: 

• Travel locally needed to attend meetings. 

• Communicate effectively with people/groups in multiple settings within and outside the organization. 

• Effectively utilize existing and emerging technology to achieve required results. 

• Transporting of moderately heavy objects up to 25 pounds 

Ampact offers an excellent benefit package including Medical, HSA, Dental, Vision, FSA, Life, Disability, PTO and 401(k).

Ampact will not discriminate for or against any AmeriCorps service member or applicant on the basis of race, color, creed, national origin, gender, age, religion, sexual orientation, disability, gender identity or expression, political affiliation, marital or parental status, familial status, military service, or any other category protected by law. Reasonable accommodations provided upon request.