Data Engineer

Jobtailor

Arizona

On-site

USD 120,000 - 180,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a senior data engineer to design and maintain scalable ETL/ELT pipelines from multiple source systems into a governed data platform. You will develop Bronze/Silver/Gold models, lead the data platform build-out for a Google Cloud migration, and mentor SQL developers while enforcing data governance and security standards.

You will collaborate with DBAs, BI developers, and business stakeholders to translate requirements into solid designs, maintain comprehensive documentation,

Qualifications

Bachelor’s degree in Computer Science or Information Systems, or equivalent experience.
5–7+ years of data engineering, ETL development, or database development.
Strong SQL skills with relational databases; NoSQL knowledge is a plus.
Experience building ETL/ELT pipelines with SSIS, Azure Data Factory, or equivalent.
Cloud data platform experience (Google Cloud strongly preferred).
Data modeling concepts including Bronze/Silver/Gold architecture.
Programming/scripting (Python or similar) for automation is a plus.
Experience with ERP systems such as Eclipse/Epicor is a plus.
Mentoring and code-review guidance for SQL developers.
Excellent problem-solving and communication skills.

Responsibilities

Design, build, and maintain scalable ETL/ELT data pipelines from Eclipse/Epicor, Salesforce, Workday, and other sources.
Develop Bronze/Silver/Gold data models and schemas; ensure governed, auditable processes.
Lead technical build-out of the data platform during Google Cloud migration.
Mentor SQL developers and set standards for SQL development and pipeline design.
Partner with DBAs, BI developers, and stakeholders to translate requirements into designs.
Document data flows, transformations, and architecture; enforce data access controls.
Monitor pipeline health and resolve data integrity issues; reduce shadow data paths.

Job description

• Design, build, and maintain scalable ETL/ELT data pipelines from Eclipse/Epicor, Salesforce, Workday, and other source systems into the governed data platform
• Develop and maintain Bronze/Silver/Gold data models and schemas
• Establish a single source of truth and eliminate redundant business logic
• Lead the technical build-out of the data platform supporting the Google Cloud migration
• Retire shadow data paths and truncate-and-reload patterns in favor of governed, auditable processes
• Leverage AI coding tools such as Claude Code to optimize pipeline code and accelerate development
• Evaluate and champion effective AI-assisted engineering practices across the data platform team
• Engineer governance, validation, and error handling into pipeline design
• Monitor pipeline health and proactively resolve data integrity issues
• Provide indirect leadership, coaching, and code-review guidance to SQL Developers
• Set standards and best practices for SQL development and pipeline design
• Partner with the DBA, BI Developer(s), and business stakeholders to translate requirements into technical designs
• Maintain technical documentation of data flows, transformations, and architecture
• Ensure pipelines adhere to data handling, access control, and security standards across all four ERP instances

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or related field, or equivalent practical experience
5-7+ years of experience in data engineering, ETL development, or database development
Experience supporting multi-entity or multi-ERP environments a plus
Strong hands-on expertise in SQL and relational database systems
Working knowledge of NoSQL a plus
Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent
Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience strongly preferred
Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures
Scripting/programming experience (Python or similar) for automation and data transformation a plus
Experience with ERP systems (Eclipse/Epicor) a plus
Demonstrated ability to mentor and guide less-experienced developers
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
Hands-on AI experience a plus
Willingness to learn and apply AI coding tools (e.g., Claude Code)
Frequent sitting, standing, and occasional walking
Occasional reaching, twisting, and bending
Extensive use of phone, computer, and keyboard
Close vision with clear vision at 20 inches or less
Color vision with ability to identify and distinguish colors
May be required to work more than 40 hours per week
Candidates are subject to pre-employment assessments, Motor Vehicle Record review, criminal background checks, reference checks, and a post-offer drug screen

Core Competencies

Demonstrates expertise in designing and maintaining scalable ETL/ELT data pipelines, with a strong focus on SQL development, data modeling, and cloud data platforms, particularly Google Cloud. Proven ability to lead technical initiatives, mentor developers, and implement best practices in data governance and integrity.

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