Senior Data Engineer (Snowflake / Informatica)

job summary:

Seeking a senior Data Engineer / Systems Analyst to support the design, development, and enhancement of enterprise data integration and analytics solutions. This role will focus on building ETL workflows, optimizing Snowflake data pipelines, integrating complex data sources, and supporting scalable reporting and business intelligence initiatives within an agile environment. Ideal candidates bring deep Informatica ETL expertise, strong Snowflake SQL skills, and experience delivering enterprise data platform solutions.

location: Austin, Texas

job type: Contract

salary: $66 - 71 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Job Responsibilities

• Design, develop, and maintain enterprise ETL/data integration workflows using Informatica PowerCenter and/or IICS
• Build and optimize complex Snowflake SQL scripts, database views, and data transformation processes
• Integrate data from multiple source systems to support analytics, reporting, and business intelligence initiatives
• Collaborate with architects, developers, and business stakeholders to translate requirements into scalable technical solutions
• Participate in agile development activities including sprint planning, standups, reviews, and delivery execution
• Create technical documentation, data mappings, process flows, and implementation specifications
• Perform data validation, testing, troubleshooting, and performance optimization
• Support deployment, enhancement, and ongoing maintenance of enterprise data platform solutions
• Identify technical improvements and help drive best practices across the data engineering environment

qualifications:

Qualifications:

8+ years of experience in data engineering, ETL development, or systems analysis

Strong hands-on experience with Informatica PowerCenter and/or Informatica IICS

Advanced Snowflake SQL development and performance optimization experience

Experience integrating data from multiple enterprise source systems

Strong understanding of data warehousing concepts, dimensional modeling, and data transformation

Experience working in agile development environments

Strong analytical, troubleshooting, and problem-solving skills

Experience creating technical documentation, process flows, and data mappings

Strong communication and stakeholder collaboration skills

Bachelor's degree in Computer Science, Information Systems, Business, or equivalent experience preferred

Nice to Have

Healthcare, public sector, or regulated data environment experience

Python scripting experience

Experience with JIRA, GitHub Actions, or CI/CD pipelines

Experience with REST/SOAP APIs, Java/JavaScript, or MuleSoft

Experience working with PII/PHI data or modern AI-enabled data tools

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.