Senior Data Engineer

The Nature Conservancy•GEO / Remote - Virginia, VA

7d•$77,920 - $125,732•Hybrid

About The Position

The Senior Data Engineer focuses on the development of analytics-oriented data models and data ingestion pipelines related to three core data domains: Conservation Effectiveness, Finance, and Human Resources. The Senior Data Engineer plans, manages, and performs data engineering tasks within a focused set of data domains to provide quality data to those who need it for decision-making. They analyze and document end user and technology-user business requirements for data projects with wide range of complexity at varying levels of impact on organization-wide initiatives. They design and develop new, complex technology systems and solutions according to system requirements following TNC methodology and development best practices. The Senior Data Engineer acts as a lead technologist on technology application maintenance projects related to application upgrades, conversion and modifications. They perform tasks assigned as required to complete project including design, development, running specific programs, generating reports and analyzing results. They provide support for production problems as assigned. They also act as a final quality assurance analyst to conduct peer reviews and validate programmer analyst work done for moderately complex matters.

Requirements

Bachelor's degree in computer science, or a related field and three years of experience in programming and systems design OR an equivalent combination of education and/or experience.
Three years of experience in data engineering OR an equivalent combination of education and/or experience.
Five or more years of experience in SQL, including experience with advanced topics such as window functions, subqueries, and traversing multiple layers of many-to-many joins.
Two or more years of experience working with financial general ledger data
Three or more years of experience in Python using data-focused packages (PySpark, Pandas, or similar).
Three or more years of fact/dimension modeling experience.

Nice To Haves

Experience using Databricks for data ingestion and curation.
Experience with Workday financial and/or Workday HR data.
Multi-lingual skills and multi-cultural or cross-cultural experience appreciated.

Responsibilities

Create data pipelines to ingest data from Workday and the conservation Hub into a shared data lake for future analysis.
Utilize fact/dimension design principles to design, build, and maintain datamarts across three core data domains: Conservation Effectiveness, Finance, and Human Resources.
Work with Data Governance to ensure data in the above domains are properly registered in master data management systems and data catalogs, where applicable.
Gather requirements for new data attributes in collaboration with Analytics, Data Governance, and end users.
Ensure access to sensitive data is restricted and masking is applied where needed.
Produce data structure documentation for both technical and business audiences.
Provide support for production problems as assigned.
Act as Project or Technical Lead as assigned.
Develop accurate project plans with realistic estimations and provide technical expertise to team members and users to help resolve complex project-related problems.