Job Location: McKinney, TX
Job Detail:
Data Engineer Job Summary
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This role requires a high level of self-direction and be comfortable supporting the data needs of multiple teams, systems and products. The Data Engineer will collaborate with the other members of the Data & Analytics team to define our company’s data architecture to support our next generation of products and data initiatives. This position will be part of the Information Technology team.
Data Engineer Duties and Responsibilities/Essential Functions
- Create and maintain optimal data pipeline architecture.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources leveraging various technologies part of the Azure platform.
- Be part of a team responsible for operational integrity of the Enterprise Analytics platform.
Data Engineer Qualifications
To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
- Bachelor’s degree in Computer Science or related field.
- 3+ years’ experience supporting data transformation, data structures, metadata, dependency, and workload management.
- Experience with relational and NoSQL databases, unstructured data sets, and data streams.
- Knowledge of Azure data engineering tools (Data Factory, Databricks, Synapse) preferred.
Data Engineer Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
- Tech Savvy: Anticipates and adopts innovations in business-building digital and technology applications.
- Nimble Learning: Actively learns through experimentation when tackles new problems, using both successes and failures as learning opportunities.
- Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
- Optimizes Work Processes: Knows the most effective and efficient processes to get things done, with a focus on continuous improvement.
Job Type: Full-time
Pay: $80,000.00 – $95,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Retirement plan
- Vision insurance
Experience level:
- 3 years
Schedule:
- 8 hour shift
- Monday to Friday
Ability to commute/relocate:
- McKinney, TX: Reliably commute or planning to relocate before starting work (Required)
Experience:
- Data transformation support: 3 years (Preferred)
- NoSQL: 1 year (Preferred)
- Azure Data Engineering Tools: 1 year (Preferred)
- creating data pipeline architecture: 1 year (Preferred)
- assembling complex data sets: 1 year (Preferred)
Language:
- English (Preferred)
Work Location: Hybrid remote in Mckinney, TX 75069
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