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Remote Snowflake Jobs in Schenectady, NY (NOW HIRING)

Data Modeler

Albany, NY ยท Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Proficiency in data modeling techniques and standards (3NF, Star Schema, Snowflake). * Experience ...

Azure Cloud Engineer

Albany, NY ยท Remote

$57 - $76.25/hr

Remote We are currently seeking candidates who meet the following qualifications. Responsibilities: * Design, deploy, and manage Azure-based cloud infrastructure and services. * Implement and ...

Technical Solutions Architect, AI

Albany, NY ยท Remote

$150K - $200K/yr

Relevant operational, technical, partner, or industry experience/certifications preferred Qualified candidates can expect a salary range of $150,000-$200,000 plus bonus. #LI-LM1 #LI-Remote Zones ...

Remote Snowflake information

See Schenectady, NY salary details

$34

$65

$82

How much do remote snowflake jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote snowflake in Schenectady, NY is $65.41, according to ZipRecruiter salary data. Most workers in this role earn between $57.93 and $74.18 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 Schenectady, NY?

For Remote Snowflake jobs in Schenectady, NY, the most frequently searched job titles are:

What cities near Schenectady, NY are hiring for Remote Snowflake jobs?

Cities near Schenectady, NY with the most Remote Snowflake job openings:

Infographic showing various Remote Snowflake job openings in Schenectady, NY as of June 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,054 per year, or $65.4 per hour.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY โ€ข Remote

$117K - $140K/yr

Other

Re-posted 3 days ago


Job description

Job Title: Data Engineer (DBT Specialist)

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
  • Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
  • Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
  • Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
  • Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
  • Monitor pipeline performance and troubleshoot issues across the data stack.
  • Implement and maintain CI/CD practices for analytics engineering.
  • Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience in data engineering or analytics engineering roles.
  • Strong hands-on experience with DBT in production environments.
  • Solid understanding of SQL and data warehousing principles.
  • Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
  • Experience with Python or another scripting language for ETL/ELT tasks.
  • Experience with orchestration tools like Airflow, Prefect, or Dagster.
  • Git proficiency for version control and collaboration.
  • Strong communication and collaboration skills.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.