Our client is a national retailer undergoing rapid expansion, building out modern data platforms to support aggressive growth initiatives. They’re opening a new Phoenix headquarters in 2025, investing heavily in enterprise data modernization, and scaling multiple strategic delivery teams across retail, supply chain, merchandising, and omnichannel operations.

Role Overview

The Data Engineer II will join the Enterprise Data Management team, supporting both day-to-day production needs and strategic data modernization projects. This is a mid-level engineering role perfect for someone who is strong in SQL and the Microsoft stack, eager to build broader data engineering skills, and excited about contributing to large, enterprise-level transformations.

This position begins with hands-on support and quickly evolves into net-new pipeline development, ETL modernization, and integration work across multiple business domains.

Core Responsibilities

Initial Focus (Months 0–6)

Handle production support tickets (~80% initially).
Troubleshoot and optimize SQL + SSIS data pipelines.
Learn existing data flows, systems, and business processes.

Long-Term Responsibilities

Build and maintain ETL pipelines (SSIS, Informatica Cloud depending on pattern).
Develop integrations supporting major initiatives like POS replatforming, MDM (Syndigo), and supply chain modernization.
Create and support data marts, BI layers, and data movement pipelines across the enterprise.
Work cross-functionally with product, retail, supply chain, and solution architects.
Participate in design discussions, requirements gathering, and sprint planning.
Contribute to overall data platform improvement and data governance modernization.

Tech Stack You'll Work With

Core Skills (Required):

Microsoft SQL Server
SSIS
T-SQL

Exposure Areas (Nice-to-Have / Learn Here):

Power BI
Azure DevOps, Visual Studio, Redgate
Informatica Cloud (primary ETL solution going forward)
Databricks (used in adjacent teams)
Azure API Gateway
DAX / PowerShell
MDM (Syndigo)

Ideal Candidate Profile

3+ years working with SQL + Microsoft data technologies.
Strong SQL fundamentals; comfortable designing and optimizing data pipelines.
Experience with SSIS or similar ETL tools.
Thrives in fast-moving environments and enjoys tackling a wide range of data movement problems.
Curious, adaptable, and motivated to grow into an architect-level engineer over time.
Local or willing to be onsite in Phoenix as hybrid becomes mandatory (Tue–Thu return-to-office next year).

Work Environment

Current Hybrid: Teams meet onsite every two weeks for sprint planning; optional in-office outside those cadences.
2025: Expected Tue/Wed/Thu onsite when new HQ opens.
Culture is energetic, collaborative, and growth-oriented.
Leadership is approachable, responsive, and moves quickly on interviews and hiring decisions.

Interview Process

Tech/functional interview with hiring manager (remote option).
Onsite interview with the team.
(If needed) Culture/behavioral touch-point with senior leadership.

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.

SQL ETL Developer

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