Data Solutions - Data Engineer
About The Position
The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
Requirements
- Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
- Agile Methodology
- Amazon Web Services
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Big Data
- Computer Science
- Data Analysis
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Warehousing
- Extract Transform Load (ETL)
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- Python (Programming Language)
- Scala (Programming Language)
- Scalability
- SQL (Programming Language)
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Nice To Haves
- Programming Language/s Certification (SQL, Python, or similar)
Responsibilities
- Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
- Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
- Drives innovation and integration of new technologies into projects and activities in the big data space.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Represents the data engineering team for all phases of larger and more-complex development projects.
- Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
- Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
- Builds and manages relationships throughout the organization.
- Provides guidance and mentoring to less experienced staff members.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
