Senior Data Engineer Hybrid Cloud and AI ETL

Inceed; Tulsa (OK); Hybrid; USD 91,000 - 129,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Disability insurance

Paid time off

401(k)

Holiday pay

Direct deposit

Job summary

Inceed in Tulsa is seeking a senior data engineer to build and support enterprise ETL processes. You will ingest data from multiple sources, write advanced SQL, and collaborate using SSIS and Visual Studio.

The role requires hands-on experience with SQL Server, AWS data services, Snowflake, and data integration. You will work with Git/Azure DevOps, leverage AI tools, and contribute to a data modernization initiative.

Qualifications

• 5+ years of data-focused development experience.
• Strong background with on-premises SQL Server environments.
• Advanced SQL skills, preferably SQL Server 2019.
• Hands-on experience with SSIS.
• Experience using Azure DevOps or Git.
• Visual Studio experience with C# code.
• Experience ingesting fixed-width, CSV, Oracle, or Kafka data.
• Experience using AI-powered tools (e.g., Copilot).
• 2+ years of AWS data engineering experience.
• Experience with data in Amazon S3 and Snowflake.
• Experience with data transformation and integration.

Responsibilities

• Build and support ETL processes for enterprise data projects
• Ingest data from multiple source systems and file types
• Develop advanced SQL queries and database solutions
• Work with SSIS and Visual Studio on data-related tasks
• Use Git and Azure DevOps for source control and collaboration
• Maintain, review, and debug C# code as needed
• Support cloud data initiatives across AWS and Snowflake
• Leverage AI-enabled tools to improve productivity and analysis

Skills

Data engineering

SQL Server

C# / Visual Studio

SSIS

Git / Azure DevOps

AWS data engineering

Snowflake

AI tools (Copilot)

Data ingestion

Tools

SSIS

Git

Azure DevOps

Visual Studio

Job description

Inceed in Tulsa is seeking a senior data engineer to build and support enterprise ETL processes. You will ingest data from multiple sources, write advanced SQL, and collaborate using SSIS and Visual Studio.

The role requires hands-on experience with SQL Server, AWS data services, Snowflake, and data integration. You will work with Git/Azure DevOps, leverage AI tools, and contribute to a data modernization initiative.