Über
Senior Data Engineer
to partner with our esteemed commercial client in the media realm. This role is crucial for supporting the Ads engineering and data requirements of a leading auto advertising platform leveraging big data technologies. We're seeking an engineer who thrives on building systems and is excited about the prospect of simplifying advertisement performance data. Your expertise will be essential as we move our ETL processes from Google Cloud to AWS, ensuring seamless business continuity while optimizing the code during this transition. Who We Are At Cadmus, we empower government, commercial, and private organizations across the globe through technology-driven advisory and implementation services. Our mission is to help clients achieve their goals while fostering sustainable, significant change through digital transformation and expert guidance. We value team players and innovative problem solvers who are eager to leverage their unique insights to bring forth transformative solutions. Joining our team means collaborating with leading industry experts to support our global clientele. We offer competitive compensation, excellent healthcare and retirement benefits, a collaborative work culture, and abundant opportunities for professional development. Join us at Cadmus to make a meaningful impact on society and the environment. For more information, visit our website. Responsibilities Document and clarify business inputs. Utilize AWS data ingestion and ETL applications. Implement AWS scheduling applications. Conduct rigorous data testing to ensure accuracy. Evaluate and validate data post-code migration. Qualifications Strong understanding of the business logic behind ETL processes. Exceptional written and verbal communication skills, along with public speaking and presentation capabilities. Able to engage with business stakeholders to translate their needs into technical specifications. Demonstrated ownership of projects and commitment to driving them to successful completion. Passion for continuous integration, testing, and automation practices. 5+ years of experience in data engineering development and/or big data management solutions. Minimum of 2 years of experience with the following technologies: Apache Spark (Scala) Python Scala Apache Airflow AWS Google Cloud Platform (GCP) Apache Hive Big Data technologies (distributed systems, large-scale data processing) Kubernetes (including Pods and containerized workloads) BigQuery or other similar data warehouse technologies Familiarity with REST API consumption patterns Additional Information: Candidates must be eligible to work in the United States as a U.S. Permanent Resident or U.S. Citizen. Cadmus offers a comprehensive benefits package, including medical, dental, and vision insurance, company-paid disability and life insurance, a 401(k) plan, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance, and various bonus programs. The minimum starting salary for this position is $85,000. Actual salaries may vary and will be determined based on factors such as relevant work experience, education, skills, and market competitiveness. We prioritize safety and health protocols to ensure a productive work environment at Cadmus, adhering to all federal, state, and local regulations. Cadmus is an Equal Opportunity Employer, committed to a respectful workplace that offers equal employment opportunities without regard to race, color, religion, sex, sexual orientation, national origin, military status, disability, or any other characteristic protected by law. Learn more about us at our website. Job Locations
US Posted Date
4 days ago Job ID
2026-3142 # of Openings
1 Category
Information Technology
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.