Senior Data Engineer; Remote

Purpose

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud or on-premises infrastructure targeting big data and platform data management (Relational and No

SQL, distributed and converged) with emphasis on reliability, automation and performance. This role focuses on developing solutions and helping transform the company’s platforms to deliver data‑driven, meaningful insights and value to the company.

• Develop and maintain infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepare and manipulate data using multiple technologies.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports. Execute quantitative analyses that translate data into actionable insights. Provide analytical and data‑driven decision‑making support for key projects. Design, manage, and conduct quality control procedures for data sets using data from multiple systems.
• Develop data models by studying existing data warehouse architecture; evaluate alternative logical data models including planning and execution tables; apply metadata and modeling standards, guidelines, conventions, and procedures; plan data classes and sub‑classes, indexes, directories, repositories, messages, sharing, replication, backup, retention, and recovery.
• Create data collection frameworks for structured and unstructured data.
• Improve data delivery engineering knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state‑of‑the‑art practices; participating in professional societies.
• Apply extraction, transformation and loading techniques to connect large data sets from a variety of sources.
• Apply and implement best practices for data auditing, scalability, reliability and application performance.

Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.

Education Level: Bachelor’s Degree in Computer Science, Information Technology or Engineering or related field OR in lieu of a Bachelor’s degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Experience: 5 years experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts. Hands‑on experience with application development, relational database layout, development, data modeling.

Python, Azure Data Factory, CICD, Microsoft Azure Cloud stack.

• Knowledge and understanding of at least one programming language (i.e., SQL, Informatica, Python).
• Knowledge and understanding of database design and implementation concepts.
• Knowledge and understanding of data exchange formats.
• Knowledge and understanding of data movement concepts.
• Strong technical and analytical and problem‑solving skills to troubleshoot and solve a variety of problems.
• Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

$99,000 - $196,625

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case’s facts and circumstances, including but not limited to experience,…