Senior Data Engineer

About Us CAMP Systems is the industry’s leading Aircraft Maintenance and Regulatory Compliance Management solution for fixed and rotor wing aircraft. CAMP’s product suite includes Maintenance Management, Engine Health Monitoring, Inventory Management, Flight Scheduling and shop floor Enterprise Information Systems. The key to CAMP solutions is our Aircraft Analysts who are experienced aviation professionals with a deep knowledge of your aircraft model and its specific maintenance programs and requirements. Today, CAMP supports 20,000 aircraft, 32,000 engines, and 1,500 maintenance facilities. The company has a long standing history of excellence and is the factory recommended maintenance tracking provider for Airbus ACJ, Beechcraft, Bell, Boeing BBJ, Bombardier, Cessna, Daher, Dassault, Embraer, Gulfstream, HondaJet, Leonardo, Piaggio, Pilatus, Viking, and numerous other aircraft. CAMP is the exclusive Engine Health Monitoring provider for all Pratt & Whitney Canada engines and for Honeywell TFE, HTF and TPE engines. CAMP is committed to providing the highest quality products and services to the business aviation community across the globe. CAMP is privately held by Hearst. Job Description This is a remote position. Job Title: Sr. Data Engineer Location: Remote Type: Full-Time Experience Level: Senior-Level (8-10 years) About Us: CAMP Systems is a global leader in delivering innovative technology solutions that have transformed the Aviation Industry for the past few decades. Building on our legacy of innovation, we've launched our AI Solutions division to pioneer the next generation of intelligent applications. Our new AI Solutions division combines CAMP Systems' deep industry expertise with cutting-edge artificial intelligence to create transformative products for our customers. We're building a diverse portfolio of AI solutions that address complex industry challenges while setting new standards for innovation in the aviation Industry. Our team unites self-motivated professionals who thrive on solving difficult problems and pushing technological boundaries. As a member of the core team, you'll have the unique opportunity to shape both our product roadmap and team culture, while working with the latest AI technologies. Job Description: We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have 8-10 years of experience in building production-quality data pipelines utilizing data extraction tools such as Talend, Informatica, and data warehouse platforms such as Snowflake and Redshift. Strong experience with relational databases (such as Oracle), data modeling, and SQL is required. Key Responsibilities: Design, develop, and maintain high-performance, scalable, high-volume, and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle. Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, benchmarking, customer data delivery) in Snowflake and Redshift. Ensure data quality, integrity/completeness, and governance by implementing best practices for monitoring and validation. Build automated monitoring and alerting mechanisms. Collaborate with cross-functional teams to understand data requirements to support business objectives. Stay up to date with emerging trends and technologies in data engineering. Required Skills/Qualifications: 8-10 years of experience in building and maintaining ETL/ELT data pipelines using tools such as Informatica, Pentaho Data Integration, or other third-party tools. 5+ years of hands-on experience with relational databases such as Oracle and data modeling. Strong programming skills in Python, SQL, or Scala. 3+ years of experience on data warehouse platforms such as Snowflake and Redshift. Familiarity with data governance, security, and compliance best practices. Keen eye for data accuracy, completeness, and privacy. Familiarity with cloud services such as AWS and Azure. Familiarity with version control systems (e.g., Git), JIRA, Confluence. Experience in delivering customer-facing SaaS solutions. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and the ability to optimize data processing workflows. Excellent verbal and written communication and teamwork skills. Desirable Skills: Experience with AI and machine learning applications. Understanding of containerization technologies like Docker. Knowledge of CI/CD pipelines and DevOps practices. Benefits: Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and innovative projects. Collaborative and inclusive work environment. Professional development and growth opportunities.