Data Engineer - Consultant

RELEADY, LLC

Sacramento, CA, United States

3 months ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$145,600.0 - $176,800.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Agile Methodology Microsoft Azure Cloud Computing Information Systems Databases Continuous Integration Data Validation Data Cleansing Information Engineering Data Governance Data Integration Data Transformation

+25 more

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

Job 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

Requirements

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