Overview
On Site
USD 65.00 - 70.00 per hour
Full Time
Skills
Leadership
Data architecture
Solution architecture
Functional requirements
Data Analysis
Software design
Operations
Governance
Database modeling
RDBMS
Meta-data management
Configuration Management
Design
Policies
Drawing
Real-time
Collaboration
Quality assurance
Automated testing
Agile
Data
Data management
Extract
transform
load
SQL
Cloud computing
Amazon Web Services
Microsoft Azure
Big data
Data warehouse
Machine Learning (ML)
Data governance
Unstructured data
Data modeling
Python
Writing
Presentations
Job Details
Immediate need for a Sr. Data Engineer to work for one of the leading home builders in North Texas at their headquarters in Plano, TX.
Position Title: Data Engineer
Employment Type: Long-Term Contract w/ strong potential of extending and/or converting to FTE
Pay Rate Target: $65-$70/Hr W2
The Data Engineer is an integral member of the Data Architecture Team, assisting with solution architecture decisions to drive end-to-end technical designs for Data related project for business customers. The Data Engineer interacts with the solution architect to understand the business stakeholders' business and functional requirements and leads with the data engineers within the product team to design and deliver technical solutions, leveraging the data analytics platform where possible.
The Data Engineer will work with other team members in the organization both IT and Non IT and be part of the team to create plans and strategies for adopting new tools, technologies, and alternative solution architectures including leveraging the cloud.
Job Duties:
Functional Experience Needed:
Position Title: Data Engineer
Employment Type: Long-Term Contract w/ strong potential of extending and/or converting to FTE
Pay Rate Target: $65-$70/Hr W2
The Data Engineer is an integral member of the Data Architecture Team, assisting with solution architecture decisions to drive end-to-end technical designs for Data related project for business customers. The Data Engineer interacts with the solution architect to understand the business stakeholders' business and functional requirements and leads with the data engineers within the product team to design and deliver technical solutions, leveraging the data analytics platform where possible.
The Data Engineer will work with other team members in the organization both IT and Non IT and be part of the team to create plans and strategies for adopting new tools, technologies, and alternative solution architectures including leveraging the cloud.
Job Duties:
- Prepare and maintain accurate solution design and architectural documentations for delivery, platform, and operations team.
- Understand the complexity of data and design systems and models to handle different data sources/formats, which includes structured, semi-structured, and unstructured, as well as stream processing.
- Address governance and security challenges associated with solutions.
- Analyze data sources, design, and evaluate feasible data pipeline solutions. The solutions might include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
- Design and develop data pipelines or ETL processes as needed.
- Support and adhere to the development of data management policies, standards, and procedures.
- Define integrated views of data drawing together data from across the enterprise, both in real-time and as extracts.
- Package deployments and collaborate with IT to migrate code between Development, Quality Assurance (QA), and Production environments.
- Support test automation, troubleshooting ETL job functionality, validating data, as well as create test data and table structures through use of SQL.
- Must be able to work in an agile, rapid delivery environment.
- Minimum experience required of the position.
- 5-8 years of experience as a data engineer utilizing standard data management principles
- ETL
- SQL
- Cloud Based Computing such as AWS or Azure
- Big Data technologies
- Data warehousing, mining, analysis, self-service, or machine learning
- Data Governance
- Structured and Unstructured Data
- Data Modelling
- Python
Functional Experience Needed:
- Requires conceptual and practical expertise in own discipline and basic knowledge of related disciplines.
- Strong communicator at the technical levels.
- Strong, demonstrated writing and presentation skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.