Data Engineers (Fivetran Data Pipeline) in , United States

Energy Jobline
Austin, TX, United States
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) BigQuery Software as a Service Cloud Database Databases Data Governance Data Integration Data Integrity Extract Transform Load (ETL) Python (Programming Language) Standard Sql Scripting
+6 more
Snowflake Build Management Restful APIs Data Pipelines Api Management Amazon Redshift

Job description

Data Engineer - Fivetran SpecialistLocation: Austin, TX - 4 days per week on-site Employment Type: 6 Month Contract; can be extended Relocation candidates can be submitted Can wqork on C2C/ on W2We are seeking a highly skilled Data Engineer with extensive experience in Fivetran to design, implement, and maintain robust data pipelines from the ground up. This role is critical to ensuring seamless data integration and enabling scalable analytics across the organization.Key Responsibilities:Design and Build Data Pipelines: Develop and configure end-to-end data pipelines using Fivetran, ensuring efficient extraction, transformation, and loading (ETL) processes.Integration Setup: Connect multiple data sources (APIs, SaaS platforms, databases) to Fivetran and manage schema mapping and transformations.Data Modeling: Collaborate with analytics and BI teams to design optimized data models for reporting and analysis.Performance Optimization: Monitor pipeline performance, troubleshoot issues, and

Requirements

implement improvements for scalability and reliability.Automation & Documentation: Automate workflows and maintain clear documentation for all data processes.Security & Compliance: Ensure data integrity, security, and compliance with organizational and regulatory standards.Required Qualifications:Technical Expertise: Proven experience with Fivetran (pipeline setup, connectors, transformations).Strong knowledge of SQL and relational databases.Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift).Data Engineering Skills: Experience building ETL/ELT pipelines from scratch.Understanding of data modeling and schema design.Additional Skills: Proficiency in Python or other scripting for data manipulation.Knowledge of API integrations and RESTful services. Qualifications:Experience with DBT for transformations.Background in data governance and observability tools.Exposure to modern data stack technologies.Soft Skills:Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Ability to work in a fast-paced, dynamic environment.

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