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Snowflake Jobs in Reston, VA (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer, Snowflake

Mclean, VA · On-site

$103K - $136K/yr

Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...

Deloitte

Lead Forward Deployed Engineer, Snowflake

Rosslyn, VA · On-site

$116K - $153K/yr

Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...

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How much do snowflake jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for snowflake in Reston, VA is $70.33, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $79.76 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

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

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Reston, VA?

The most popular types of Snowflake jobs in Reston, VA are:

What are popular job titles related to Snowflake jobs in Reston, VA?

For Snowflake jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Snowflake jobs in Reston, VA look for?

The top searched job categories for Snowflake jobs in Reston, VA are:

What cities near Reston, VA are hiring for Snowflake jobs?

Cities near Reston, VA with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Reston, VA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $146,295 per year, or $70.3 per hour.

Senior Data Engineer (AWS & Snowflake)

otelier.io

Bethesda, MD • On-site

$122K - $146K/yr

Full-time

Re-posted 23 days ago

Job description

Description:
  • Data Pipeline Development: Build and maintain efficient, scalable, and reliable pipelines to support analytics and reporting workloads.
  • Data Integration: Implement seamless integration across diverse data sources (structured, semi-structured, and unstructured) into Snowflake and AWS-based data platforms (Postgres/Aurora Postgres/Dynamo DB)
  • Data Governance: Establish and enforce data governance frameworks including metadata management, data lineage, data quality and data entitlement.
  • Cloud Engineering: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift, EMR) to design cloud-native data solutions.
  • Performance Optimization: Monitor, troubleshoot and optimize data workflows for speed, scalability, and cost efficiency.
  • Collaboration: Partner with data architects, analysts and business stakeholders to translate requirements into technical solutions.
  • Best Practices: Drive adoption of engineering best practices, including CI/CD, automation, and Infrastructure-as-Code for data platforms.
  • Leveraging AI: Any experience in leveraging AI in execution or implementation of data pipelines and data integration solutions.
Requirements:
  • 10–12 years of hands-on experience in data engineering.
  • Strong hands-on expertise in Snowflake data modelling, performance tuning, CDC, security and governance (Snowpipe, Dynamic Tables, DBT, Streams, RBAC).
  • Hands-on experience with AWS services (S3, Glue, Postgres, Redshift, EMR, IAM).
  • Proficiency in RDBMS concepts, SQL and programming languages such as Python or Scala.
  • Experience with ETL/ELT frameworks and workflow orchestration tools ( Snaplogic, Airflow, DBT).
  • Good understanding of data governance principles and implementation experience
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.
  • Excellent problem-solving, communication and stakeholder management skills.

Preferred Qualifications

  • Exposure to big data technologies (Spark, Hadoop).
  • Experience with real-time data streaming (Kafka, Kinesis).
  • Knowledge of data cataloging tools (Collibra, Alation).
  • Experience of using AI tools (Cloude, Cortex)
  • Prior experience in implementing enterprise-scale data modernization initiatives.

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