Explore 2 sql database developer jobs from 2 hiring companies in Dolan Springs, AZ, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Sql Database Developer Jobs

Levi Strauss & Co.

Wecom

Hybrid

Onsite

Calling all originals: At Levi Strauss &amp; Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.LS&amp;Co. is seeking a Senior Industrial Engineer to lead the design, deployment, and continuous optimization of large‑scale distribution and logistics operations. This role blends industrial engineering fundamentals, advanced automation, and data‑driven decision‑making to deliver measurable cost, service, and productivity improvements in a fast‑moving omnichannel supply‑chain environment.The ideal candidate is a systems thinker and change agent—comfortable operating at the intersection of physical operations, digital platforms, and cross‑functional leadership. You will influence strategy, translate data into action, and help shape our next generation of intelligent supply chain operations.<h2></h2><h2>About the Job</h2>Position Goals:<ul><li>Deliver sustainable operational savings year-over-year, through engineered standards, continuous improvement initiatives, and technology‑enabled optimization.</li><li>Improve throughput, labor productivity, service levels, and process efficiency across multiple sites.</li><li>Enable data‑driven operations by modernizing KPIs, analytics, and decision frameworks.</li></ul>Key Responsibilities:Operational &amp; Process Engineering:<ul><li>Lead end‑to‑end process design and optimization across receiving, storage, picking, packing, sortation, inventory control, waving, and shipping operations.</li><li>Apply advanced industrial engineering and Lean methodologies (e.g., method analysis, work measurement, ergonomics, 5S, Kanban, poka‑yoke) to improve performance at scale.</li><li>Conduct time studies and capacity modeling to support business cases for new initiatives and capital investments.</li><li>Support and lead operational excellence events.</li></ul>Automation, Layout &amp; Systems Design:<ul><li>Design and evolve facility layouts and material/process flows using AutoCAD and related CAD tools.</li><li>Lead the engineering and implementation of integrated automation systems, including AS/RS, high‑speed sortation, conveyance, robotics, and print‑and‑apply solutions.</li><li>Partner with vendors and integrators on equipment specifications, system architecture, and site layouts.</li><li>Oversee process and system commissioning, testing, and go‑live activities to ensure operational readiness.</li></ul>Data, Analytics &amp; Intelligent Operations<ul><li>Drive improved engineered standards, KPIs, and performance dashboards across sites.</li><li>Perform advanced data mining using SQL and warehouse management system (WMS) data to identify improvement opportunities.</li><li>Leverage AI/ML‑enabled analytics (e.g., predictive labor modeling, demand‑driven capacity planning, anomaly detection, and process optimization) to inform operational decisions.</li><li>Collaborate with data science and IT partners to translate operational problems into analytical and machine‑learning use cases.</li></ul>Cross‑Functional Leadership &amp; Execution<ul><li>Act as a trusted engineering partner to operations leaders, start‑up teams, IT, safety, and external vendors.</li><li>Manage project schedules, quality, change requests, and vendor performance for initiatives ranging from sub‑$1M to $5M&#43;.</li><li>Ensure training, standard work, maintenance, and safety practices are embedded for all new processes and systems.</li><li>Build strong, influential relationships across multiple sites and leadership levels.</li></ul><h2></h2>About YouRequired Qualifications<ul><li>Bachelor’s degree in Industrial Engineering, Engineering Operations, Supply Chain, Business Administration, or a related field.</li><li>Proven experience designing and implementing automated material‑handling and fulfillment systems.</li><li>Proficiency with AutoCAD (or equivalent CAD tools) for layout and system design.</li><li>Strong working knowledge of Warehouse Management Systems (Manhattan preferred).</li><li>Advanced data analysis skills, including SQL‑based data mining.</li><li>Experience applying Lean, Six Sigma, and continuous improvement methodologies in supply chain environments.</li><li>Ability to travel 30% to 50%.</li></ul>Preferred / Differentiating Qualifications<ul><li>Master’s degree in a relevant engineering or business discipline.</li><li>Experience with AI/ML‑driven operational analytics, optimization models, or decision‑support tools.</li><li>Familiarity with business intelligence and data platforms (e.g., Cognos or similar).</li><li>Exposure to robotics, computer vision, or advanced automation controls in fulfillment environments.</li><li>Demonstrated success influencing senior leaders through data‑backed recommendations.</li><li>Experience implementing/maintaining Labor Management Systems.</li></ul>Why This Role MattersThis role sits at the center of LS&amp;Co.’s supply‑chain transformation, where engineering rigor meets intelligent automation and data science. You will directly shape how work gets done, how technology is applied, and how value is delivered at scale.The expected starting salary range for this role is (($xx,xxx- $xx,xxx)) per year. We may ultimately pay more or less than the posted range based on the location of the role. The amount a particular employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and business needs.Levi Strauss &amp; Co. (LS&amp;Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits <a href="https://www.levistrauss.com/work-with-us-old/life-at-lsco/benefits/" target="_blank">here</a>.LS&amp;Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&amp;Co. a collective success.<h2>EOE M/F/Disability/Vets</h2><h2></h2><h2>LOCATION</h2>Henderson, NV, USA<h2></h2><h2>FULL TIME/PART TIME</h2>Full timeFILL DATEThis position is expected to be filled by 06/18/2026.<h2><a href="http://wd5.myworkday.com/levistraussandco/d/task/1422$6600.htmld" target="_blank">Current LS&amp;Co Employees, apply via your Workday account.</a></h2>

Sr. Industrial Engineer, US & Canada Distribution

Industrial Engineer

Bachelor’s in Industrial Engineering, Engineering Operations, Supply Chain, Business Administration; experience designing automated material-handling systems; AutoCAD; WMS (Manhattan preferred); SQL data mining; Lean/Six Sigma; 30-50% travel.

Job Description
 
Senior Data Platform Engineer
Reports to: VP of Corporate Finance & Data
Location: <span class="TextRun SCXW56096449 BCX0" lang="EN-US" style="margin:0px;padding:0px;font-variant-ligatures:!important;color:#000000;font-size:12pt;line-height:22.0083px;font-family:'times new roman' , , , serif">Phoenix, AZ (Hybrid/On-site as required, remote option for the right candidate)
Type: Full-Time
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Why This Role Exists
Our data platform runs on a modern stack — Matillion, Snowflake, and GitLab — and the pipelines powering it need a dedicated owner. This role exists to take ETL development, orchestration, and Snowflake warehouse administration off the VP's plate and put them in the hands of someone who treats data infrastructure as a craft. Success looks like pipelines that run reliably, a Snowflake environment that is well-structured and cost-efficient, and a data layer that the rest of the analytics team can build on with confidence.
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Who You Are
You have a detail orientation that borders on compulsive — and in this role, that's a feature, not a quirk. You notice when something in a pipeline is technically working but structurally wrong, and you fix it because it bothers you, not because someone asked you to. You're intellectually curious about how data systems fit together, and you find genuine satisfaction in building infrastructure that other people can rely on without thinking about it.
You work best with real ownership and minimal hand-holding. Ambiguity doesn't derail you — you make a reasonable call, document it, and move forward. When priorities shift, you recalibrate without drama. You hold yourself to a high standard and don't need external pressure to do your best work.
You'll thrive here because we operate on trust, not oversight. The team has a sense of humor about the chaos that comes with building at scale, and we hold each other accountable in the way that high-performing small teams do — not through process, but through genuine care about the work and each other. We drive ourselves the hardest.
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Key Responsibilities:
<ul style="margin-top:0in" type="disc"><li class="MsoNormal">Own the full ETL/ELT development lifecycle using Matillion — building, maintaining, and optimizing pipelines that move data from source systems into our Snowflake bronze and silver layers reliably and on schedule</li><li class="MsoNormal">Take strategic ownership of our Snowflake environment — this is more than administration; we're at a maturity inflection point and need someone who will drive architecture decisions, enforce cost governance through resource monitors and warehouse right-sizing, establish performance standards, and evolve our bronze/silver/gold layer into a platform the business can depend on for years</li><li class="MsoNormal">Manage pipeline orchestration and scheduling — ensuring jobs run in the right order, failures are caught early, and alerting is in place so issues surface to the right people before the business notices</li><li class="MsoNormal">Own data quality monitoring across ingestion and transformation layers — implementing checks, validation logic, and remediation workflows that give downstream consumers confidence in what they're working with</li><li class="MsoNormal">Collaborate with the Senior BI Developer & Analytics Engineer on gold layer structure and transformation logic — your pipelines feed their reporting layer, so alignment on data contracts, naming conventions, and schema evolution is a shared responsibility</li><li class="MsoNormal">Maintain and enforce source control discipline using GitLab — all pipeline and transformation code is version-controlled, peer-reviewed, and deployed through a repeatable process</li><li class="MsoNormal">Manage integrations with source systems — working across internal operational platforms, financial systems, and third-party data sources to ensure ingestion is stable, documented, and recoverable</li><li class="MsoNormal">Document infrastructure, pipeline logic, and data lineage at a standard that makes the platform understandable to both technical and non-technical stakeholders — partnering with the Senior BI Developer on Secoda to keep the catalog current</li><li class="MsoNormal">Proactively identify and remediate technical debt in the pipeline and warehouse layer — this platform was built to move fast; part of this role is making it built to last</li><li class="MsoNormal">Lead our exploration of Snowflake Cortex — as an emerging ownership area, you'll evaluate and build out ML and LLM capabilities natively within Snowflake, including Cortex functions for text analysis, classification, anomaly detection, and embedding-based workflows; this is greenfield territory and you'll have real influence over how we develop it</li><li class="MsoNormal">Manage your work in agile scrum using Jira — maintaining a well-groomed backlog, participating in sprint planning and retrospectives, and keeping your work visible and prioritized without needing to be chased</li><li class="MsoNormal">Contribute to AI/ML infrastructure as a broader growth area — beyond Cortex, there is scope to build data foundations that support model training, feature engineering, and automated analytical workflows as the platform matures</li></ul>
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Required Qualifications:
<ul style="margin-top:0in" type="disc"><li class="MsoNormal">3+ years of hands-on data engineering experience, with demonstrated ownership of production ETL pipelines and a cloud data warehouse environment</li><li class="MsoNormal">Proficiency with Matillion or a comparable ETL/ELT tool (Fivetran, Airbyte, Informatica, Talend) — we use Matillion and prefer candidates who know it, but strong experience with another enterprise-grade tool and the ability to ramp quickly is acceptable</li><li class="MsoNormal">Strong Snowflake administration experience — virtual warehouses, resource monitors, RBAC, data clustering, and a practical understanding of how to keep a Snowflake environment performant and cost-controlled; bonus if you've been the person who matured a Snowflake environment from functional to optimized, rather than just inherited a well-run one</li><li class="MsoNormal">Strong SQL proficiency — complex transformations, performance debugging, and the ability to write and review transformation logic across layers</li><li class="MsoNormal">Git-based version control in a team environment — branching strategy, pull requests, and code review are part of your normal workflow, not an afterthought</li><li class="MsoNormal">Experience with pipeline orchestration and monitoring — you've built alerting and recovery logic, not just scheduled jobs and hoped for the best</li><li class="MsoNormal">Comfortable working in agile scrum — you manage your own backlog, participate meaningfully in sprint ceremonies, and keep your work visible without needing to be chased; experience with Jira is preferred</li><li class="MsoNormal">Prior experience working in a lean, high-ownership environment — startup, scale-up, or a small team inside a larger company where you wore multiple hats</li></ul>
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Preferred / Nice-to-Have Qualifications:
<ul style="margin-top:0in" type="disc"><li class="MsoNormal">Direct Matillion experience (Matillion ETL or Matillion Data Productivity Cloud)</li><li class="MsoNormal">Familiarity with dbt for transformation layer development — we use Matillion as our primary ETL tool but understanding dbt patterns is additive as our stack evolves</li><li class="MsoNormal">Experience in telecom, ISP, or infrastructure-heavy industries — familiarity with subscriber data, network metrics, or capital-intensive operational data models is a plus</li><li class="MsoNormal">Exposure to Secoda or another data catalog/lineage tool for documenting pipeline infrastructure</li><li class="MsoNormal">Foundational knowledge of Python for pipeline scripting, API ingestion, or data quality automation</li><li class="MsoNormal">Hands-on experience or strong interest in Snowflake Cortex — familiarity with Cortex ML functions, LLM capabilities, or embedding workflows within Snowflake is a meaningful differentiator for this role</li><li class="MsoNormal">Experience with or strong interest in AI/ML infrastructure — feature stores, model pipelines, or data infrastructure supporting machine learning workflows</li><li class="MsoNormal">Hands-on experience with generative AI tools and frontier models and genuine enthusiasm for how they can be embedded into data engineering workflows — automation, anomaly detection, and pipeline observability are all areas we expect to explore</li></ul>
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Growth Opportunity
Data engineering is no longer just plumbing — and this role reflects that. In the near term, the focus is on building a pipeline and warehouse layer the business can depend on, and maturing a Snowflake environment that has real room to grow. That alone is a meaningful and visible charter.
But the longer arc of this role points toward intelligent infrastructure. Snowflake Cortex puts ML and LLM capabilities directly inside the warehouse — no separate ML stack required — and you'll be the person who figures out what that means for us in practice. From anomaly detection to automated classification to embedding-based search, this is genuinely greenfield work with direct business impact.
For the right candidate, this is also an opportunity to define what good data engineering looks like at this company — the architecture patterns, the deployment standards, the quality frameworks. We're at a scale where those decisions are still being made, which means your fingerprints will be on the platform for a long time.
 
NOTE:
Wecom (and its subsidiaries) complies with all Equal Employment Opportunity (EEO). Wecom does not discriminate on the basis of age, race, sex, religion, color, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status, pregnancy status or other status protected by law.
Company benefits subject to change.   <a href="http://www.wecominc.com" rel="nofollow">www.wecomfiber.com</a>

Senior Data Platform Engineer

3+ years data engineering; Matillion or similar ETL; strong Snowflake admin; strong SQL; Git with PRs; Jira and Agile familiarity; capable of end-to-end data pipelines

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