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R3394Employment TypeFull timeWorksite FlexibilityRemoteJob SummaryAs the Data Engineer, you will be responsible for implementing our data architecture to support our mission-critical reporting and analytics initiatives.Job DescriptionWe are looking for a Data Engineer to implement our data architecture to support our mission-critical reporting and analytics initiatives . This position will be full-time and remote with on-site requirements once a month.What You’ll Do
Data Modeling: Develop and maintain conceptual, logical, and physical data models to ensure consistency, integrity, and usability of the data across different systems and applications
ETL Development: Design, develop, and optimize ETL processes to extract, transform, and load data from a wide range of sources, including MS Excel Sheets, Google Docs, SurveyMonkey, RedCap, MS Access Database, and external vendors' data warehouses
Data Integration: Integrate disparate data sources into a unified data platform, ensuring data consistency, accuracy, and completeness
Data Quality Management: Implement data quality processes and standards to monitor and improve data quality throughout the data lifecycle
Performance Tuning: Identify and resolve performance bottlenecks in data processing and reporting workflows to ensure optimal system performance and reliability
Collaboration: Collaborate with cross-functional teams, including Azure Architects, Research Scientists, Business Analysts, and stakeholders, to understand data requirements and translate them into technical solutions
Documentation: Create and maintain technical documentation, including data dictionaries, ETL specifications, and architectural diagrams
Training and Support: Provide training and support to internal teams on data engineering best practices, tools, and technologies
What You'll NeedRequired:
Bachelor's or master's degree in computer science, Information Systems, or a related field
Minimum of 5 years of experience in data architecture and engineering roles
Strong expertise in designing and implementing data architecture solutions using MS Azure Data Warehouse, Azure Synapse, and related technologies
Proficiency in data modeling techniques and tools, such as ERwin, ER/Studio, or PowerDesigner
Hands-on experience with ETL development using tools like Azure Data Factory, SSIS, Informatica or similar
5 years of prior experience working with ETL involving MS Excel
5 years of prior experience working with ETL involving SurveyMonkey
5 years of prior experience working with ETL involving Access Databases
5 years of prior experience working with Azure Data Factory
5 years of prior experience working with modeling using data modeling tools
5 years of experience working with and writing SQL Scripts
5 years of prior experience with Python
5 years of prior experience with PySpark
Preferred:
2 years of prior experience working with ETL involving RedCap
2 years of experience with Powershell
2 years of prior work with PowerBI
2 years of prior work with Tableau
2 years of prior experience working with ETL involving GoogleDocs
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable Accommodation StatementIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.Equal Employment Opportunity Policy StatementIt is the policy of CAI not to discriminate against any employee or applicant due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Employees and applicants of CAI will not be subject to harassment due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.
