Data Integration Engineer

Job Title: Data Integration Engineer

Type: Contract (W2 only)

Start Date: 2/24/2025

End Date: 8/31/2025 (with potential for extension)

Location: Remote (United States only)

Schedule: Monday-Friday, 40 hours per week

Compensation: $70 to $90 per hour

Job Summary:

Our global business & IT consulting client is seeking a highly skilled and detail-oriented Data Integration Engineer to assist in the design, development, and maintenance of scalable data pipelines and infrastructure. The ideal candidate will have 4-7 years of experience in data integration, ETL processes, data governance, and platform development. This role will involve working closely with cross-functional teams to enhance data accuracy, optimize data models, and implement security measures.

Responsibilities:

Data Integration and Management:
• Assist in the design, development, and maintenance of scalable data pipelines to ingest, process, and store large volumes of customer data from various sources.
• Help implement ETL (Extract, Transform, Load) processes to ensure data accuracy, consistency, and reliability.
• Identify opportunities for process improvements and automation to enhance data operations efficiency.

Data Platform Development:
• Consult on building robust data infrastructure to support the customer data platform, ensuring high availability and performance.
• Recommend optimization strategies for source/target data models and schemas to support analytics and reporting needs.
• Assist in identifying data governance and security measures to protect sensitive customer information.

Data Quality and Monitoring:
• Help establish and enforce data quality standards and best practices.
• Collaborate on the development and maintenance of data validation and monitoring frameworks to detect and resolve data issues proactively.
• Perform data audits and design corrective actions to maintain data integrity.

Collaboration and Support:
• Participate in code reviews, knowledge-sharing sessions, and continuous improvement initiatives.
• Work closely with team members to support business initiatives and data onboarding.

Documentation and Reporting:
• Create and maintain comprehensive documentation for data processes, workflows, and systems.
• Develop and deliver regular reports and dashboards to track key performance indicators (KPIs) and data platform metrics.

Required Qualifications & Experience:
• 4-7 years of experience in data integration, ETL processes, and data management.
• Proficiency in SQL, Python, or other scripting languages for data processing.
• Experience with cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions.
• Strong understanding of data governance, security, and compliance best practices.
• Ability to analyze complex datasets and implement data validation methodologies.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Strong communication and documentation skills.

Preferred Qualifications & Experience:
• A college degree in Information Technology, Data Analytics, etc.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of big data technologies (Spark, Hadoop) and streaming data frameworks.
• Familiarity with CI/CD pipelines for data engineering workflows.