DescriptionThe Data and Analytics Engineer plays an important role in developing and supporting our company's data and analytics environment. This position works across data engineering, business intelligence, and analytics to manage the full data lifecycle-from collecting and transforming data to developing dashboards, maintaining BI platforms, and helping employees use data effectively.
The ideal candidate is a hands-on problem-solver with strong SQL and Python skills, experience with API integrations, and a passion for making data accessible, accurate, and useful throughout the organization.
What You'll Do- Design, build, and maintain scalable data pipelines and automated workflows to extract, ingest, integrate, and process data from multiple sources, including applications, APIs, databases, and external systems.
- Develop and maintain data warehouses, data lakes, and related data platforms to support reliable, efficient, and accessible data storage and analytics.
- Implement data quality tests, document data definitions, optimize SQL queries, and manage dependencies between data models to ensure accuracy, consistency, and performance.
- Monitor pipeline performance, data freshness, and reliability; troubleshoot failures; and manage data security, access controls, and infrastructure costs.
- Monitor and respond to inquiries submitted through the Data Team Help Line, troubleshooting and resolving day-to-day system and data-related issues to support operational efficiency and data accuracy.
- Partner with business stakeholders to understand their needs and deliver actionable data products.
- Contribute to internal documentation, playbooks, and knowledge-sharing to strengthen team practices.
- Stay current on tools and methods, recommending improvements to platforms, processes, and governance.
- Transform raw warehouse data into clean, structured, and reusable datasets to design, build, and maintain BI dashboards, reporting, and analytical initiatives that support decision-making.
- Perform predictive analytics and statistical analysis to identify trends, forecast outcomes, and generate actionable insights that support data-driven decision-making.
- Follow and adhere to the DMP Data Classification Standard.
What We're Looking For- Bachelor's degree in computer science, data science, information systems, or a related field; or equivalent professional experience.
- 3+ years of experience in analytics engineering, data engineering, BI development, or a closely related role.
- Demonstrated experience building and maintaining data pipelines, models, and BI solutions in production environments.
- Experience working cross-functionally with business teams to translate requirements into data products.
- Proficiency in SQL for data modeling, transformations, and performance optimization.
- Experience working with APIs for data ingestion, integration, and automation.
- Familiarity with medallion/lakehouse architectures and developing transformation pipelines (Bronze ? Silver ? Gold).
- Strong skills in BI and data visualization tools such as Power BI, Tableau, Domo, Looker, or equivalent platforms.
- Experience with version control tools (such as Git) and modern data development practices.
- Experience administering BI platforms, including governance, permissions, and content management.
- Knowledge of data governance, metadata management, and data quality practices.
- Ability to communicate technical concepts clearly to non-technical audiences.
- Strong problem-solving skills and comfort taking ownership across the full data lifecycle.
- Ability to develop and execute complex research projects with minimal supervision.
Why Join Our Team?Be part of an established company with more than five decades of experience in security manufacturing, where your technical skills and ideas can make a meaningful difference. You'll have the opportunity to improve how information is collected, managed, and used across the business while helping build a stronger, more data-driven organization.
Ready to turn data into meaningful results? We'd love to hear from you!Apply today and become part of a team that values experience, collaboration, continuous improvement, and innovation.
