Staff Data Engineer building scalable pipelines and lakehouse architecture for Sonatype, a software supply chain security company. Driving trusted analytics, ML, and business intelligence data with Databricks, Spark, and modern cloud technologies.
About the role
- Senior Data Engineer at PAR Technology responsible for developing big data solutions and leading data pipeline optimization efforts. Collaborating with cross-functional teams to enhance data governance and support AI-driven products.
Responsibilities
- Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data
- Collaborate with stakeholders to design scalable solutions
- Manage and optimize our internal data pipeline that supports marketing, customer success and data science
- Focus on ingesting, storing, processing, and analyzing large datasets
- Be a technical leader of PAR’s big data platform that supports AI and BI products
- Work with infra and operations teams to monitor and optimize existing infrastructure
- Develop and implement pipelines that extract, transform, and load data into information products that help the organization reach its strategic goals
- Help define data governance policies and support data-versioning processes
- Occasional business trips are required
- Leverage AI tools to streamline data pipeline development, generate data insights, and automate reporting to accelerate engineering productivity and decision-making
Requirements
- 5+ years of experience as a Sr Data engineering professional, developing scalable big data solutions
- Advanced degree in Computer Science, Engineering, or other related fields
- Demonstrated strength in data modelling and SQL within a Lakehouse architecture
- Extensive knowledge of cloud technologies, e.g. AWS and Azure
- Advanced knowledge of big data technologies and programming languages (Python, Java), relational databases (Postgres, MySQL), NoSQL (MongoDB), and streaming (Kafka, Spark)
- Must have PySpark and Spark Streaming experience
- Must have Databricks experience
- Excellent software engineering background with high familiarity with the software development lifecycle
- Familiarity with GitHub and version control best practices
- Strong problem-solving skills with demonstrated rigor in building and maintaining complex data pipelines
- Exceptional communication skills and ability to articulate complex concepts with thoughtful, actionable recommendations
Benefits
- Equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, or genetics
- Reasonable accommodations to individuals with disabilities
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