Data Engineer

Plano, Texas

Hybrid

Contract

$55/hr - $70/hr

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

US Citizen/Green Card Permanent Resident Only

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.

Required Skills:

• 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.

You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family

• Dental & Orthodontia Benefits

• Vision Benefits

• Health Savings Account (HSA)

• Health and Dependent Care Flexible Spending Accounts

• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance

• Hospital Indemnity Insurance

• 401(k) including match with pre and post-tax options

• Paid Sick Time Leave

• Legal and Identity Protection Plans

• Pre-tax Commuter Benefit

• 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.

Posted by: Heather Allen

Specialization: Data Engineering