**US Citizenship Required: This position will require the holding of or ability to obtain government security clearance which requires U.S Citizenship.
We are looking for a highly skilled and experienced Senior Data Engineer to join our growing Data, Analytics, and AI team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and systems to support analytics, machine learning, and business intelligence initiatives. You will work closely with analysts and engineering teams to ensure high data quality, availability, and performance.
Key Responsibilities
· Design, implement, and maintain scalable and efficient data pipelines using modern data stack tools (e.g., Airflow, dbt, Spark).
· Develop ETL/ELT processes to ingest data from a variety of structured and unstructured sources (APIs, databases, third-party systems).
· Work across domains to gather requirements, architect, and build new/novels solutions to support the appropriate business requirements.
· Work with business stakeholders to develop/build reporting dashboards.
· Optimize performance of BI solutions.
· Collaborate with architects, engineers, and analysts to design and optimize data models for analytics and operational use.
· Ensure data quality and integrity through robust testing, monitoring, and documentation practices.
· Optimize performance of databases and data workflows to support real-time and batch processing.
· Mentor junior engineers and contribute to team development and best practices.
· Work across teams to identify, support, and troubleshoot as needed.
· Work with stakeholders to understand data needs and deliver data solutions that drive business insights.
· Implement data governance practices, including data security, privacy, and compliance.
Qualifications
· Master’s degree in Computer Science, Engineering, Information Systems, or a related field with 5+ years of experience in data engineering, with a strong focus on building and maintaining data infrastructure at scale OR Bachelors degree with at least 10+ years of experience.
· Proficient in Python, SQL, and one or more big data technologies (e.g., Spark, Hadoop, Kafka).
· Experience with managing cloud IAM permissions, data access controls, and key management.
· Experience with cloud data platforms such as AWS (Redshift, S3, Glue), GCP (BigQuery, Dataflow), or Azure.
· Hands-on experience with orchestration tools like Airflow or Prefect.
· Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD practices is a plus.
· Strong understanding of data modeling, warehousing concepts, and distributed systems.
· Knowledge of BI tools such as Tableau, Power BI, or QlikView.
· Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
· Experience with dbt for data transformation and version control.
· Strong background with Dev-Ops and ML-Ops
· Familiarity with containerization (Docker, Kubernetes).
· Knowledge of data privacy regulations (e.g., GDPR, HIPAA, FEDRAMP) and security best practices.
· Experience with both batch and streaming data pipelines.
· Experience within semiconductor manufacturing.
