Sr. Data Engineer

Fort Worth, TX - USA

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Sr. Data Engineer
Location: Ft. Worth TX
Long term Contract
Looking for W2 Candidates. No C2C

Job Description:

Must Have Skills:

Apache Spark (10 yrs of exp)

Scala (10 yrs of exp)

Azure Databricks (10 yrs of exp)

Nice to Have Skills:

SQL (5 yrs of exp)

CICD (5 yrs of exp)

Job Description:

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks to be performed whenever it is deemed appropriate to do so observing of course any legal obligations including any collective bargaining obligations.
Provide technical leadership for teams to both analyze and take charge of long-term opportunities designing a cutting-edge data solution and help with core development when needed.
Act as Product Technical Lead.
Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
Collaborate with leaders business analysts project managers IT architects technical leads and other developers along with internal customers and cross functional teams to implement data strategy
Design and build data engineering pipeline frameworks while ensuring these are reusable scalable efficient maintainable gracefully recover from failures reprocessing the data should be easy.
Drive data quality best practices coding standards Test Driven Development identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover Mean Time between Failures Patterns causing failures).
Utilize data pipelines to provide actionable insights into data quality and product performance.
Identify design and implement internal process improvements such as automating manual processes optimizing data delivery and redesigning infrastructure for greater scalability.
Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
Work with product teams to help prioritize team objectives and initiatives/team features.
Conduct road shows on the data products across the organization.
Advocate the agile process and test-driven development using data engineering development tools to analyze model design construct and test reusable

Best Regards:

Tina
Phone: 1-
Email:

Job Title: Sr. Data Engineer Location: Ft. Worth TX Long term Contract Looking for W2 Candidates. No C2C Job Description: Must Have Skills: Apache Spark (10 yrs of exp) Scala (10 yrs of exp) Azure Databricks (10 yrs of exp) Nice to Have Skills: SQL (5 yrs of exp) CICD (5 yrs of exp) Job Descr...

Job Title: Sr. Data Engineer
Location: Ft. Worth TX
Long term Contract
Looking for W2 Candidates. No C2C

Job Description:

Must Have Skills:

Apache Spark (10 yrs of exp)

Scala (10 yrs of exp)

Azure Databricks (10 yrs of exp)

Nice to Have Skills:

SQL (5 yrs of exp)

CICD (5 yrs of exp)

Job Description:

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks to be performed whenever it is deemed appropriate to do so observing of course any legal obligations including any collective bargaining obligations.
Provide technical leadership for teams to both analyze and take charge of long-term opportunities designing a cutting-edge data solution and help with core development when needed.
Act as Product Technical Lead.
Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
Collaborate with leaders business analysts project managers IT architects technical leads and other developers along with internal customers and cross functional teams to implement data strategy
Design and build data engineering pipeline frameworks while ensuring these are reusable scalable efficient maintainable gracefully recover from failures reprocessing the data should be easy.
Drive data quality best practices coding standards Test Driven Development identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover Mean Time between Failures Patterns causing failures).
Utilize data pipelines to provide actionable insights into data quality and product performance.
Identify design and implement internal process improvements such as automating manual processes optimizing data delivery and redesigning infrastructure for greater scalability.
Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
Work with product teams to help prioritize team objectives and initiatives/team features.
Conduct road shows on the data products across the organization.
Advocate the agile process and test-driven development using data engineering development tools to analyze model design construct and test reusable