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 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