Sr Data Engineer
Compensation: No equity
The Sr. Data Engineer is responsible for the design, structure, and maintenance of data, usually organized in a relational database. This person ensures the accuracy and accessibility of data relevant to an organization or a project. The management and organization of data is highly technical and requires advanced skills with computers and proficiency with data-oriented computer languages such as SQL and XML. A successful Sr. Data Engineer must possess the ability to communicate effectively, as this person will be a part of a larger team within an information technology department. Additionally, this person needs to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, the Sr. Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving.
Job Duties: • Drive the design, structure, and maintenance of data all within relational databases. • Ensure the accuracy and accessibility of data within big data and data pipeline environments while managing and organizing data through data-oriented computer languages such as SQL and XML. • Lead data pipeline execution, testing, cutover, and data modernization solution while identifying opportunities for automating tasks. • Work with large data sets and deriving insights from data using various BI and data analytics tools. • Collaborate with cross-functional teams within data governance, data quality, security, and risk management practices to design new processes and enhancements with appropriate controls. • Manage large, complex data sets that meet non-functional and functional business requirements in addition to helping to establish Data Engineering architecture strategy, best practices, and standards for data lake support engineering. • Assemble and oversee large, complex data sets that meet non-functional and functional business requirements and prepare technical design specifications. • Collaborate with cross-functional teams to understand end user needs to be translated into technical solutions while monitoring scheduled production related tasks.
Education & Requirements: • Bachelor's Degree in Computer Science or related field • Bilingual in English/Spanish • 3-5+ years’ experience with data mapping, data modeling, and database design, including conceptual, logical, and physical data models • Hands-on experience with SQL and relational database technologies, with the ability to analyze and optimize data structures and queries. • Experience designing and supporting data integration and ETL/ELT solutions across multiple data sources and systems. • Experience with cloud-based data platforms and architectures, preferably AWS, including data storage, processing, and integration services. • Strong understanding of data governance, data quality, security, and risk management practices, with a focus on designing new processes and enhancements with appropriate controls, traceability, and auditable evidence generation to support compliance and audit requirements
Plus: • Certifications in AWS are highly desired, such as AWS Certified Data Engineer Associate