Data Engineer
Company Description
Arsec is a product-driven technology company that builds smart, scalable, automation-first software solutions for modern businesses. The company focuses on tools that streamline hiring, communication, operations, and workforce management, including ATS platforms, mass mailing solutions, email extraction tools, custom software, and payroll management systems. Arsec enables organizations to automate processes, reduce manual work, and make data-driven decisions through flexible, secure, and high-performance products. Serving startups, enterprises, and growing teams across industries, Arsec combines innovation with reliability to help businesses scale efficiently. Driven by technology and purpose, the company is committed to simplifying complexity and supporting sustainable growth. Role Description The Data Engineer will design, build, and maintain data pipelines and architectures that support Arsec’s product suite and internal analytics needs. Day-to-day responsibilities include implementing and optimizing ETL processes, modeling data for reporting and dashboards, and managing data warehousing solutions to ensure data is accurate, reliable, and accessible. The role involves collaborating with product, engineering, and analytics teams to understand data requirements, improve system performance, and support data-driven decision-making. The Data Engineer will monitor data quality, troubleshoot pipeline issues, and contribute to best practices for data governance and security. This is a contract, remote role, requiring independent work, clear communication, and timely delivery of project milestones.
Qualifications
Candidates should possess strong skills in Data Engineering and experience building scalable data pipelines. Candidates should possess solid Data Modeling skills for analytical and transactional systems. Candidates should possess experience in Extract Transform Load (ETL) processes and tools. Candidates should possess knowledge of Data Warehousing concepts and implementation. Candidates should possess Data Analytics skills to support reporting, dashboards, and insights generation. Proficiency with SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala). Experience with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools is beneficial. Understanding of data governance, security, and best practices for handling sensitive information. Ability to work independently in a remote, contract setting and collaborate effectively with cross-functional teams. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.