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# Data Engineer - Consultant

- **Company:** RELEADY, LLC
- **Location:** Sacramento, CA, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $176,800.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Microsoft Azure, Cloud Computing, Information Systems, Databases, Continuous Integration, Data Validation, Data Cleansing, Information Engineering, Data Governance, Data Integration, Data Transformation, Data Migration, Data Systems, Data Vault Modeling, Data Warehousing, DevOps, R (Programming Language), Python (Programming Language), KNIME, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), DataOps, SQL Databases, Tableau (Software), Software Repository, Snowflake, Git, Information Technology, Collibra, Bitbucket, Software Version Control, Data Pipelines, Devsecops, Alteryx, Control M
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=26c8d9977ea88967

## About the Role

Do you have experience in Version control systems?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

 * 10+ years of experience in data engineering or related roles
 * Strong proficiency in SQL and database technologies including Snowflake, Oracle, and SQL Server
 * Hands-on experience with dbt Cloud for data transformation and pipeline development
 * Demonstrated experience with Azure cloud technologies, particularly ADLS and Synapse
 * Knowledge of Data Vault modeling principles and implementation techniques
 * Experience with data governance and data quality tools, particularly Collibra
 * Familiarity with data visualization platforms, especially Tableau
 * Understanding of version control systems (Git, Bitbucket) and CI/CD practices
 * Experience with scheduling systems like Tidal or Control-M
 * Working knowledge of Agile methodologies and DevOps principles applied to data pipelines
 * Preferred Skills:
 + Experience with data observability platforms and data quality monitoring
 + Knowledge of Python, R, KNIME, or Alteryx for data science applications
 + Experience with Refuel.ai and Striim technologies
 + Background in data migration from traditional databases (Oracle, SQL Server) to cloud platforms
 + Experience with enterprise scheduling tools like Tidal

## Description

* Design, develop, and implement data integration pipelines and data warehouse solutions using Snowflake, dbt Cloud, and Azure technologies (ADLS, Synapse)
 * Build and optimize production-ready data workflows, ensuring high performance, reliability, and scalability
 * Create and maintain data pipelines following Data Vault architectural principles for warehouse modeling
 * Work with Collibra for data governance, quality assurance, and metadata management
 * Leverage Refuel.ai for data mastering and Striim for data validation processes
 * Assist in troubleshooting and resolving data pipeline issues by analyzing end-to-end workflows
 * Collaborate with client stakeholders to translate requirements into effective data solutions
 * Support data visualization and reporting needs through Tableau
 * Implement CI/CD practices using Git repositories and modern DevOps tools
 * Participate in an Agile/DevSecOps pod model alongside solution architects, data modelers, analysts, and business partners


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