Staff Data Integration Engineer

Planet Group; Irving (TX); Hybrid; USD 62,000 - 76,000; Full time

Job summary

Planet Group is seeking a Staff Data Integration Engineer in Irving, TX, to maintain and support enterprise data integration across cloud and legacy environments.

You will focus on building and troubleshooting Azure Data Factory pipelines, SSIS packages, and Automic workflows while contributing to day-to-day production data processing. The role includes on-call rotation and collaboration with senior team members.

Qualifications

• 2+ years of experience in data integration, software development, or technical operations.
• Hands-on experience with Azure Data Factory, SSIS, and/or Automic.
• Strong SQL Server and relational database experience.
• Experience with PowerShell, Python, C#, Java, or similar scripting languages.
• Understanding of data warehousing, ETL/ELT, APIs, and file-based integrations.
• Experience with source control, testing, and deployment practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to participate in an on-call rotation and support production systems.
• Self-driven and curious, with ability to dig into unfamiliar pipelines independently.
• Bachelor's degree in Computer Science, IT, or equivalent experience.

Responsibilities

• Maintain and troubleshoot Azure Data Factory pipelines and SSIS packages.
• Modify and support Automic workflows, schedules, and production jobs.
• Monitor production data processes and respond to integration incidents.
• Perform root-cause analysis and implement corrective actions.
• Write and optimize SQL queries, stored procedures, and data validation routines.
• Develop scripts and automation using PowerShell, Python, C#, or similar.
• Participate in deployments, testing, code reviews, and release activities.
• Maintain technical documentation, runbooks, and operational procedures.
• Support production systems and participate in on-call rotation.
• Follow security, incident management, change management, and ITSM standards.
• Identify opportunities to improve system reliability and performance.

Skills

Data integration

Analytical skills

Scripting & automation

On-call readiness

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

SSIS

Automic

PowerShell

Python

C#

Java

SQL

Job description

Staff Data Integration Engineer

Location: Irving, TX (Dallas area)
Hybrid: Onsite Tuesday, Wednesday, and Thursday
Employment: W2
Pay Rate: $45-$55/hour

No sponsorship available. No C2C or third-party support in any form. No phone calls, please.

Job Summary

We are looking for a Staff Data Integration Engineer to support and maintain enterprise data integration solutions across both cloud and legacy environments.

This role will focus on building, maintaining, and troubleshooting Azure Data Factory (ADF) pipelines, SSIS packages, and Automic workflows while helping ensure reliable day-to-day production data processing. You will also participate in an on-call rotation and work closely with senior team members to resolve production issues, perform root-cause analysis, and improve operational processes.

Responsibilities

• Maintain and troubleshoot Azure Data Factory (ADF) pipelines and SSIS packages
• Modify and support Automic workflows, schedules, and production jobs
• Monitor production data processes and respond to integration incidents
• Perform root-cause analysis and implement corrective actions
• Write and optimize SQL queries, stored procedures, and data validation routines
• Develop scripts and automation using PowerShell, Python, C#, or similar technologies
• Participate in deployments, testing, code reviews, and release activities
• Maintain technical documentation, operational procedures, and runbooks
• Participate in the on-call rotation and provide timely production support
• Follow security, incident management, change management, and ITSM standards
• Identify opportunities to improve system reliability, performance, and supportability

Requirements

• 2+ years of experience in data integration, software development, or technical operations
• Hands-on experience with Azure Data Factory, SSIS, and/or enterprise scheduling tools such as Automic
• Strong SQL Server and relational database experience
• Experience with PowerShell, Python, C#, Java, or similar scripting/programming languages
• Understanding of data warehousing, ETL/ELT, APIs, and file-based integrations
• Experience with source control, testing, and deployment practices
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to participate in an on-call rotation and support production systems
• Self-driven and curious, with the ability to dig into unfamiliar pipelines, workflows, and systems independently
• Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience

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