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Remote Snowflake Jobs in Ridgewood, NJ (NOW HIRING)

Data Engineer

Brooklyn, NY ยท Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data ... Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) * Nice ...

Data Engineer Contractor - Talent Reserve

New York, NY ยท On-site +1

$125K - $150K/yr

... Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and ...

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

... as Snowflake and Databricks * Ensure client satisfaction through consistent support, impactful ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

... as Snowflake and Databricks * Ensure client satisfaction through consistent support, impactful ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Develop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau ...

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Develop data and MLOps scenarios using tools such as Snowflake , Databricks , Python/R , SQL ...

Senior Data Engineer : 26-02476

Manhattan, NY ยท On-site +1

$85 - $90/hr

Snowflake (advanced), Databricks (advanced), SQL (advanced), PySpark (advanced), AWS S3 (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: New York, NY (#LI - Remote) Pay Range: $85 ...

Showing results 41-60

Remote Snowflake information

See Ridgewood, NJ salary details

$36

$68

$85

How much do remote snowflake jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote snowflake in Ridgewood, NJ is $68.40, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $77.60 per hour, depending on experience, location, and employer.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

What are popular job titles related to Remote Snowflake jobs in Ridgewood, NJ?

For Remote Snowflake jobs in Ridgewood, NJ, the most frequently searched job titles are:

What cities near Ridgewood, NJ are hiring for Remote Snowflake jobs?

Cities near Ridgewood, NJ with the most Remote Snowflake job openings:

Senior AI Engineer - Applied AI & Data Science

FAVARH

New York, NY โ€ข On-site, Remote

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Get to Know the Opportunity

We are seeking a highly motivated Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud. This role combines AI engineering, enterprise data exploration, software engineering, and applied analytics to transform business problems into production-ready AI solutions.

This opportunity is appropriate for candidates who can work in a remote or hybrid environment, depending on business needs, team alignment, and applicable location requirements. The ideal candidate is passionate about building intelligent systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI engineering frameworks.

The Contributions You'll Make

Enterprise AI Application Development

Design, develop, and deploy production-grade AI applications using Snowflake Cortex AI, Cortex Search, Cortex Agents, Snowpark Python, and Snowflake ML.

Build enterprise copilots, conversational AI assistants, intelligent search applications, recommendation systems, and AI-powered business workflows.

Develop reusable AI components, frameworks, and services.

Take AI solutions from concept through production deployment and continuous improvement.

AI Discovery & Data Exploration

Explore structured and unstructured enterprise datasets toidentifyAI opportunities.

Analyze data quality, relationships, business context, and knowledge gaps.

Assess enterprise data readiness for RAG, semantic search, vector retrieval, and agentic AI.

Design metadata, embeddings, and knowledge structures that improve AI performance.

Translate ambiguous business challenges into scalable AI solutions.

Retrieval-Augmented Generation & Knowledge Systems

Design and implement enterprise RAG architectures.

Build semantic search and vector retrieval pipelines.

Develop enterprise knowledge retrieval systems.

Optimizegrounding, relevance,retrievalquality, and response accuracy.

Improve AI systems through prompt engineering,retrievaltuning, and evaluation.

AI Engineering & Agentic AI

Design and build AI agents that reason across enterprise knowledge and business systems.

Develop multi-step workflows and agent orchestration pipelines.

Integrate LLMs with enterprise APIs, databases, and business applications.

Implement human-in-the-loop workflows and approval mechanisms.

Build secure, governed, and scalable AI services.

Platform & Software Engineering

Develop scalable applications using Python, SQL, Snowpark, and modern software engineering practices.

Build REST APIs and enterprise integrations.

Implement CI/CD pipelines and automated testing.

Optimizeapplication performance, scalability, reliability, and cost.

AI Evaluation & Responsible AI

Develop evaluation frameworks for prompts, retrieval, and model performance.

Monitor AI quality through quantitative and qualitative evaluation techniques.

Implementgovernance, explainability, guardrails, and responsible AI practices.

Improve AI applications using production metrics and user feedback.

Business Partnership & Innovation

Partner directly with business and technology stakeholders toidentifyhigh-value AI opportunities.

Translate business challenges into scalable AIarchitectures.

Prototype innovative AI solutions andvalidatebusiness value.

Present AI concepts and recommendations to technical and executive audiences.

Helpestablishenterprise AI architecture standards, engineering guidelines, and best practices.

Minimum Knowledge&Experience

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience.

AI Engineering

Proven experience building and deploying production AI or GenAI solutions.

Strong understanding of LLMs and modern AI architectures.

Hands-on experience with:

oRetrieval-Augmented Generation (RAG)

oSemantic Search

oVector Embeddings

oAI Agents

oPrompt Engineering

oLLM Evaluation

oAI Observability & Monitoring

oAI Guardrails

Snowflake Expertise

Hands-on experience with:

Snowflake Cortex AI

Cortex Search

Cortex Agents

Snowpark Python

Snowflake ML

SQL Optimization & Performance Tuning

Enterprise-scale Snowflake Development

Software Engineering

Strong experience with:

Python

SQL

REST APIs

Git

CI/CD

Automated Testing

Cloud-Native Development

Enterprise Software Engineering Best Practices

Data Exploration & Analytics

Experience exploring large enterprise datasets to uncover business insights and opportunities.

Strong understanding of structured and unstructured data.

Experience building AI-ready data models and pipelines.

Ability to assess data quality and AI suitability.

Familiarity with machine learning concepts and evaluation methodologies.

Business & Communication

Excellent analytical and problem-solving skills.

Ability to translate ambiguous business problems into scalable AI solutions.

Strong stakeholder management and executive communication skills.

Ability to independently drive initiatives from ideation through production deployment.

Preferred Knowledge&Experience

Preferred qualifications include experience that helps the candidate accelerate impact in enterprise AI delivery, platform engineering, and business partnership.

Design and deploy enterprise AI applications that solvereal businessproblems.

Build scalable RAG, semantic search, and agentic AI solutions.

Develop reusable AI capabilities that accelerate future product development.

Improve enterprise productivity through AI-powered automation and intelligent assistants.

Help define AI architecture standards and engineering best practices.

Partner with business leaders toidentifyopportunities where AI can deliver measurable businessimpact.

#LI-LW1

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$160,000-$174,000

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes