JOB DESCRIPTION

DATA ENGINEER

Department: Information Technology Job Status: Full Time

FLSA: Exempt Reports to: Enterprise Applications Manager

Work Location: The Woodlands, TX Travel Required: None

Work Schedule: Monday Friday; 8 a.m. 5 p.m. Position Supervised: None

(Overtime as needed)

Position summary: The Data Engineer is responsible for the development and maintenance of data integration solutions supporting both the operational and analytical needs of the business. The role will work with multiple lines of business (LOBs) as the team manages a growing portfolio of data solutions.

ESSENTIAL FUNCTIONS: (The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that being with the word May.)

• Ability to read, write, and comprehend English.
• Identify proper design pattern(s) to solve a given problem.
• Implement architecture for relational database systems (ODS and EDW).
• Develop integrations between systems (e.g., ERP, HRM, CRM, embedded and other custom applications) using a variety of methods and data formats.
• Coordinate directly with stakeholders to understand requirements.
• Provide support for existing systems and work with users to resolve issues.
• Contribute to a small, cross-functional team in multiple capacities as needed.
• Model best practices and continuous improvement for other team members
• Research new technologies and approaches and share knowledge with the team.
• Performs other related duties as assigned to assist with successful operations and business continuity.

POSITION REQUIREMENTS:

• Successfully passes background check.
• Possesses a valid U. S. Drivers License.
• Daily in-person, predictable attendance.

EDUCATION AND EXPERIENCE:

• 
  Bachelors Degree in Information Systems, Computer Science, or related field or equivalent work experience
• 3+ years experience working with web APIs (REST, SOAP, OData)
• 3+ years with Microsoft SQL (T-SQL)
• 2+ years experience with Microsoft data engineering tools, such as Azure Data Factory (ADF), Data Lake, Synapse, Data Bricks and Logic Apps
• 3+ years experience working with unstructured and semi-structured data formats (e.g., CSV, JSON and XML)

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES:

TECHNICAL SKILLS:

• Strong familiarity with established design patterns (e.g., ETL, ELT, CDC) for data integration.

• Strong familiarity with established design patterns (e.g., Kimball) for both analytical and operational databases.
• Experience working under an agile methodology (e.g., Scrum, XP, Kanban, Scrumban, etc.) and related tools (e.g., Azure DevOps, Jira Boards).
• Some scripting experience with PowerShell.
• Experience developing integrations with ERP systems.
• Experience working with one of the following languages: Python, R, Java
• Demonstrated ability to communicate and partner with stakeholders in a fast-paced environment.
• Problem solver with a process-thinking mindset
• Willingness to help others wherever needed as part of a small, cross-functional team.
• Eagerness to learn new technologies and approaches.
• Experience with Power Platform (preferred)
• Familiarity working with SQL database projects in Visual Studio (strongly preferred)

QUALIFICATIONS FOR ADVANCEMENT: (Promotions may occupy after the following qualifications have been satisfied. Promotions are not guaranteed and are subject to availability of position openings.)

• Time in Position: Minimum 18 months

PHYSCIAL REQUIREMENTS/WORK ENVIRONMENT:

The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Frequently required to walk, sit, climb, bend, reach and squat/kneel. Data Engineer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organizations facilities. Data Engineer may be required to lift heavy objects; therefore, Data Engineer must be able to lift 25lbs.

Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.

The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws.Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status.It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.

The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.

Revised: 05/12/202