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Contract Snowflake Remote Jobs in New York (NOW HIRING)

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Experience with Snowflake for cloud data warehousing. * Strong problem-solving skills and attention ...

Mercor

Enterprise Data Science Specialist

New York, NY · Remote

$60 - $70/hr

Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise ... Develop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

  • Medical

  • Retirement

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

  • Medical

  • Retirement

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems

All JobsContract Snowflake JobsContract Snowflake Remote JobsContract Snowflake Remote Jobs in New York

Contract Snowflake Remote information

What is a contract Snowflake remote?

A Contract Snowflake Remote job refers to a temporary or project-based position where the professional works with the Snowflake cloud data platform, and the work is done remotely rather than on-site. These roles typically involve tasks such as data engineering, database administration, or analytics using Snowflake. Contract positions usually have a defined duration and may be full-time or part-time, offering flexibility for both the employer and the contractor. Remote work allows professionals to collaborate with teams and complete their responsibilities from anywhere, leveraging online tools and communication platforms. This type of job is especially common in tech and data-driven industries looking for specialized Snowflake expertise without a long-term commitment.

What are the key skills and qualifications needed to thrive as a contract Snowflake remote professional?

To thrive as a Contract Snowflake Remote professional, you need expertise in data warehousing, SQL, ETL processes, and a solid understanding of Snowflake's architecture, typically backed by relevant experience or certifications. Familiarity with tools like Snowflake, cloud platforms (Azure, AWS, or GCP), and data integration systems such as Informatica or Talend is essential. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These competencies ensure efficient data management, seamless collaboration, and successful delivery of data solutions in distributed work environments.

What are some common challenges faced by remote contractors working with Snowflake, and how can they be addressed?

Remote contractors working with Snowflake often encounter challenges such as collaborating effectively with distributed teams, ensuring secure data access, and managing time zone differences. To address these, it's important to establish clear communication channels, leverage secure VPNs and role-based access controls, and use project management tools to stay aligned with team goals. Additionally, staying updated on Snowflake’s evolving features and best practices can help you deliver high-quality work and remain competitive in the contract market.

What is the difference between Contract Snowflake Remote vs Contract Data Engineer Remote?

AspectContract Snowflake RemoteContract Data Engineer Remote
Required SkillsSnowflake platform, SQL, data warehousingData pipelines, SQL, cloud platforms, ETL processes
CertificationsSnowflake certifications often preferredData engineering certifications (e.g., AWS, GCP) beneficial
Work EnvironmentRemote, project-based, cloud-focusedRemote, collaborative, cloud and data infrastructure
Industry UsageData analytics, cloud data platformsData integration, analytics, infrastructure development

Contract Snowflake Remote roles focus on managing and optimizing Snowflake data warehouses, requiring expertise in Snowflake and SQL. Contract Data Engineer Remote positions involve building data pipelines and infrastructure across cloud platforms. While both are remote and involve data, Snowflake roles are more specialized in data warehousing, whereas Data Engineer roles cover broader data engineering tasks.

What are popular job titles related to Contract Snowflake Remote jobs in New York?

For Contract Snowflake Remote jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contract Snowflake Remote jobs in New York look for?

The top searched job categories for Contract Snowflake Remote jobs in New York are:

What cities in New York are hiring for Contract Snowflake Remote jobs?

Cities in New York with the most Contract Snowflake Remote job openings:

Contract Snowflake Remote jobs near you
Infographic showing various Contract Snowflake Remote job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Data Engineer (Contract) (Remote)

Cloudacio

Manhattan, NY • Remote

$126K - $151K/yr

Contractor

Re-posted 14 days ago

Job description

About Cloudacio:

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.
Role Overview:

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud-based projects. The candidate should be versatile in various data engineering technologies and methodologies, capable of working independently as well as collaboratively in a remote team environment. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
Key Responsibilities:
  • Design, build, and optimize data pipelines, architectures, and data sets.
  • Work with big data technologies to solve complex data processing challenges.
  • Implement ETL processes and data warehousing solutions.
  • Attend meetings, providing pre-sales support and technical insights.
  • Collaborate with cross-functional teams to integrate data solutions into broader projects.
  • Engage in cloud-based data solutions using AWS, Azure, or GCP.
  • Ensure data integrity, efficiency, and scalability in all solutions.
Core Skills:
  • Strong proficiency in Python
  • Experience with SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
  • Expertise in ETL processes and tools.
  • Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
  • AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
  • Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
  • GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
  • Familiarity with big data tools like Hadoop, Spark, or Airflow.
  • Experience with Snowflake for cloud data warehousing.
  • Strong problem-solving skills and attention to detail.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Previous consulting or startup environment experience.
  • Ability to independently handle customer interactions and lead projects.

Desired Skills:
  • Experience with Looker, PowerBI, Tableau, or Grafana for data visualization.
  • Experience with machine learning and analytics.
  • Familiarity with containerization technologies like Docker, Kubernetes, and Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
  • Knowledge of API development and integration.
  • Experience with streaming technologies such as Kafka or Flink.
  • Understanding of data privacy and compliance regulations (e.g., GDPR, HIPAA).

What We Offer:
  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR

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