SUMMARY: Lead Data Engineer is responsible for coordinating with business platform stakeholders to document clear and actionable requirements for data solutions. This role is the key link between business needs and the technical data designs to meet these needs.

A good Data Systems Analyst is skilled at listening deeply to understand core needs and business processes and translate

them into the language of data, including data elements and data quality rules.

Experience : 10+ Years

ESSENTIAL FUNCTIONS:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

● Collaborate closely with core business owners of systems and business functions to capture data-related requirements and processes;

● Maintain clear and actionable business use-cases and the data requirements to meet these use-cases including data schema and field level definitions and rules;

● Support technical designers of data solutions (Data Architects, Data Engineers, etc.) in understanding and clarifying the nuances of data requirements from business stakeholders;

● Collaborate with engineers to ensure test cases (unit tests, integration tests, end-to-end tests) demonstrate business use-case requirements are met;

● Support business stakeholders through user acceptance testing to validate data solutions;

This position has no formal supervisory responsibilities.

Required Technical Skills:

1. SQL

2. ETL & Data Modeling

o Required: Basic pipeline understanding

o Alternatives: Experience with specific tools (Informatica, Talend, dbt)

Nice to have :

● Python/Java

● Experience with visualization tools (Tableau, PowerBI)

● Experience with cloud-based data platforms like AWS (S3), Azure, or GCP

MINIMUM REQUIRED QUALIFICATIONS:

● Bachelor’s degree in Data Engineering, Computer Science, Mathematics, Statistics or a related field, or equivalent training

● Demonstrated ability to translate unstructured requests into structured, detailed, and actionable requirement documentation

● Demonstrated success in working collaboratively with diverse stakeholders across both business and technical backgrounds

● Proficiency in querying, exploring, and managing data using SQL

● Familiarity with various data storage types (e.g. relational, graph, object storage, data warehouses), ETL pipelines, data modeling, and data transformations

● Excellent verbal and written communication skills

● Proficiency in the Microsoft Office Suite (Excel, Word, PowerPoint and SharePoint)

● Ability to travel up to 10 percent of the time

● Ability to clear required background check

Certificates and Licenses: None required.

DESIRED QUALIFICATIONS:

● Bachelor’s or Master’s degree in Data Engineering, Computer Science, Mathematics, Statistics or a related field, or equivalent training

● Experience in K12 education as a teacher or researcher or data personnel

● Demonstrated experience with agile development and/or the software development lifecycle to build end-to-end products to drive business outcomes

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.