Lead Data Engineer

Title : Lead Data Engineer Position

SUMMARY: The Data Systems Analyst 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.

Career level : CL3 / CL4

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, Azure, or GCP

MINIMUM REQUIRED QUALIFICATIONS:

Bachelors degree in Data Analytics, Computer Science, Mathematics, Statistics or a related field, or

equivalent training

Three (3) years of relevant professional experience in data analysis, business intelligence,

process engineering, data modeling, and/or data management OR equivalent combination of

education and experience

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% of the time

Ability to clear required background check

Certificates and Licenses: None required.

DESIRED QUALIFICATIONS:

Bachelors or Masters degree in Data Analytics, 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

Disclaimer:

LearningMate is an equal opportunity employer. We commit to celebrate diversity, equity, and

inclusion in the workplace