Data Engineer- Val

Aspire Software is looking for a Data Engineer to join our team in Lebanon.

Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

About the Role :
Valsoft Corporation is seeking a skilled Data Engineer to join our Finance & Acquisition Data and Reporting team. In this role, you will design, build, and maintain scalable data pipelines and analytics infrastructure that support financial reporting, acquisition analytics, forecasting, and executive decision-making across Valsoft’s portfolio of companies.

You will work closely with Finance, M&A, Reporting, and Engineering stakeholders to deliver reliable, high-quality data solutions. The role involves owning data pipelines end-to-end, improving data quality and performance, and translating complex business requirements into well-designed data models and workflows.

This position is well suited for a data engineer with 4+ years of experience who is comfortable working with production data systems, enjoys solving data reliability and scalability challenges, and wants to make a direct impact on financial and strategic outcomes.

Key Responsibilities

• Design, build, and maintain scalable and reliable ETL/ELT pipelines
• Own and optimize Snowflake data models using dbt, including testing and documentation
• Ingest and manage data from multiple sources using Fivetran and/or Stitch
• Orchestrate, monitor, and troubleshoot workflows using Apache Airflow
• Write high-performance, production-grade SQL and Python code
• Implement data quality checks, monitoring, and performance optimizations
• Build and maintain API-based integrations between applications and the data warehouse
• Work with AWS services (S3, Lambda, IAM, API Gateway, etc.) to support data workflows
• Partner with Finance and M&A stakeholders to deliver analytics, reporting, and forecasting solutions
• Support BI tools such as Power BI (preferred) or Tableau
• Contribute to best practices around version control, CI/CD, testing, and deployment
• Mentor junior team members and contribute to improving team standards and documentation
• Participate in architecture discussions and continuous improvement initiatives

Requirements

• 4+ years of professional experience as a Data Engineer or similar role
• Strong hands-on experience with:
• Snowflake
• dbt
• AWS (S3, IAM, Lambda, API Gateway, or similar)
• Apache Airflow
• Fivetran and/or Stitch
• Advanced proficiency in SQL
• Strong working experience with Python
• Experience supporting production-grade data systems
• Solid understanding of:
• Data warehousing concepts and dimensional modeling
• ETL/ELT design patterns
• Structured and semi-structured data (JSON, Parquet, XML, etc.)
• Experience working with BI tools (Power BI preferred, Tableau acceptable)

Preferred Skills and Qualifications:

• Experience in Finance, Accounting, or M&A analytics
• Exposure to forecasting, budgeting, or financial reporting data
• Familiarity with data governance, security, and access controls
• Experience preparing data for AI / ML use cases
• Background in application development or API design