TalentAlly

TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

TalentAlly

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

HQChicago, US

Team Size82

Open Jobs1212

Total Funding-

Latest FundraiseUnknown

Join the Team

Senior Software Data Engineer - (SQL / Python) (Hiring Immediately)

HybridSan Jose, CA, US

Hybrid • San Jose, CA, US

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About NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.

If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.

Job Summary

NetApps Cloud Storage Business Unit is seeking a highly skilled Software Data Engineer. In this senior role, you will own complex business problems end-to-end: define what needs to be solved, design the approach, and deliver scalable solutions. You will shape the analytics and data platform strategy for key Cloud Storage outcomes, set technical direction, and build AI/ML-powered capabilities that drive impact across products and functions. This includes architecting durable data foundations (Snowflake + dbt), elevating data quality standards, and transforming signals from customer lifecycle, product telemetry, GTM, and finance into actionable insights and measurable business results.

Job Requirements

Minimum Qualifications

Bachelors degree in computer science, mathematics, statistics, or related field.
8+ years in data engineering/analytics with demonstrable impact on product or business outcomes.
Expert SQL and Python; strong command of Snowflake and dbt for ELT modeling; experience building production grade pipelines and data contracts.
Proven track record delivering dashboards/visualizations (Tableau/Power BI) that drive action.
Hands on with orchestration, CI/CD for data, and data testing/observability.

Compensation:

The target salary range for this position is 187,000 - 278,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSUs). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.

If you want to help us build knowledge and solve big problems, let's talk.

PDN-a08b9190-385d-43d3-a411-e79c84d89fc1

Business & Outcomes

Develop a deep understanding of Cloud Storage metrics, processes, funnels, and customer lifecycles; articulate the why behind changes in ARR, adoption, expansion/NRR, support cost, and efficiency.

Define problem statements and OKRs/KPIs; align roadmaps with BU priorities and partner teams (Product, Engineering, Cloud Ops, Sales, Finance).

Data Engineering at Scale

Design and lead implementation of error-free ELT/ETL pipelines into the data lake/warehouse (e.g., Snowflake + dbt), starting with PoCs that prove business value prior to scale-out; productionize with orchestration (Airflow/Prefect) and CI/CD.

Establish gold-standard data models and contracts for product telemetry, billing, and GTM datasets; enforce versioned schemas, SLAs/SLOs, lineage, and observability.

Insight Generation & Decision Support

Analyze large, complex datasets to diagnose root causes, opportunities, and risk; deliver prescriptive recommendations to PMs and business leaders, not just descriptive dashboards.

Build and maintain executive-grade dashboards and self-serve semantic layers (Tableau/Power BI) with clear narrative storytelling.

AI/ML Innovation

Leverage modern AI/ML (forecasting, uplift modeling, causal inference, anomaly detection, LLM-assisted analytics) to automate insights and power new capabilities, e.g., churn/expansion prediction, price-performance guidance, intelligent cost/efficiency recommendations.

Partner with MLEs to productionize models with feature stores, monitoring, governance, and responsible-AI practices.

Data Quality, Governance & Security

Design and enforce robust data quality checks (tests, expectations, anomaly rules) and steward data governance (access, PII handling, auditability) across different data pipelines.

Technical Leadership & Influence

Serve as tech lead for cross-functional analytics initiatives; mentor IC3IC4 engineers and establish standards for modeling, testing, documentation, and review.

Ability to translate technical concepts for non technical audiences and influence senior stakeholders across time zones.

Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels.

Detail-oriented with a focus on data accuracy and quality.

Expertise with statistical modeling techniques.