

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Irving, TX, lasting 12+ months with a pay rate of "$$$". Key skills include Scala, data engineering, and AI. Responsibilities involve leading data initiatives, mentoring, and collaborating with cross-functional teams.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
July 23, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Irving, TX
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Documentation #Scala #Data Engineering
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Role: Data Engineer
Location: Irving, TX (3-5 days onsite every week)
Duration: 12+ months
About the job:
Youβll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
You will be responsible for designing and implementing data capabilities and solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers have solid technical background but enjoy learning new languages, technologies, and frameworks.
Key Responsibilities:
β’ Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
β’ Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
β’ Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution.
β’ Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
β’ Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
β’ Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
β’ Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.