Sr. Data Engineer | On-site | $125k - $145k

Job Title: Data Engineer III [Senior Data Engineer]

Location: Tulsa, OK (Fully Onsite)

Salary Range: $125,000-$145,000

Job Type: Full-time

Overview:

We are assisting a large enterprise company here in Tulsa with finding a highly skilled Senior Data Engineer to join their team. This role is essential for designing, developing, and maintaining robust data pipelines and business intelligence models. The ideal candidate will have a strong background in data engineering, with extensive experience in Azure Data Factory, Azure Data Lake, Databricks, SQL, and PySpark.

Key Responsibilities:

• Data Pipeline Development:
  • Design and implement automated data pipelines to extract, cleanse, and transform data for business use.
  • Connect to diverse data sources such as flat files, DB2, SQL Server, and API calls to ensure data suitability and integration.
• Data Quality and Monitoring:
  • Develop automated processes for data quality monitoring and alerts.
  • Consolidate diverse data sources into a single source of truth for various business entities.
• Business Intelligence:
  • Model and publish data sets for user access through reporting and business intelligence technologies.
  • Utilize ETL, T-SQL, data profiling, MDM tools, SSAS, and Power BI for data modeling and analysis.
• Technical Leadership:
  • Lead efforts in designing scalable and flexible data solutions that meet business needs and adhere to standards.
  • Act as a technical owner of specific software products, ensuring technological performance and managing technical debt.
• Support and Troubleshooting:
  • Provide 24x7 technical support to resolve data-related issues and develop solutions to minimize recurrence.
  • Document support processes and gather feedback to enhance product development and user satisfaction.

Qualifications:

• Required:
  • 5-8 years of progressive experience in programming complex data solutions.
  • Proficiency in Azure Data Factory, Azure Data Lake, Databricks, SQL, and PySpark.
  • Strong problem-solving skills and familiarity with various IT concepts and practices.
• Preferred:
  • Experience with SSIS, Python, and Azure Synapse.
  • Knowledge of additional programming languages and data tools used in the industry.

Skills and Competencies:

• Ability to work independently and as part of a team using repeatable processes and standards.
• Excellent written and verbal communication skills.
• Strong time management and organizational skills.

Education:

• High school diploma or equivalent required; college degree in Computer Science, MIS, Mathematics, or related discipline preferred.

About the Organization:

They are a forward-thinking company committed to leveraging data to drive business decisions. Their IT department is dedicated to maintaining high standards and implementing best practices across all data engineering processes.