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Full Time Snowflake Jobs in Reston, VA (NOW HIRING)

Nastech Global

Technical Architect

Mclean, VA · On-site

$67 - $80.75/hr

Mclean, VA (onsite) Job Type: full time We are seeking an experienced Kafka Architect to design ... Snowflake, Databricks, Hadoop). • Knowledge of financial services, banking, or credit-union ...

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Marriott

Manager, Reporting and Analysis

Bethesda, MD · On-site +1

Manage and transform data within Snowflake and other data environments to support scalable ... Full-time positions also offer coverage for medical, dental, vision, health care flexible spending ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject ... Experience with big data technologies such as Hadoop, Databricks, Snowflake, or DataLakes.

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject ... Experience with big data technologies such as Hadoop, Databricks, Snowflake, or DataLakes.

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject ... Experience with big data technologies such as Hadoop, Databricks, Snowflake, or DataLakes.

Capital One

Lead Data Engineer-IC

Mclean, VA

$115K - $139K/yr

... such as Redshift and Snowflake * Share your passion for staying on top of tech trends ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

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Full Time Snowflake information

See Reston, VA salary details

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$70

$88

How much do full time snowflake jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for full time 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 are the typical challenges faced by Full Time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a Full Time Snowflake Data Engineer, and why are they important?

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a Full Time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

What is the difference between Full Time Snowflake vs Data Engineer?

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

What are popular job titles related to Full Time Snowflake jobs in Reston, VA? For Full Time Snowflake jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Reston, VA look for? The top searched job categories for Full Time Snowflake jobs in Reston, VA are:
What cities near Reston, VA are hiring for Full Time Snowflake jobs? Cities near Reston, VA with the most Full Time Snowflake job openings:
Full Time Snowflake jobs near you

Technical Architect

Nastech Global

Mclean, VA • On-site

$67 - $80.75/hr

Full-time

Posted 27 days ago

Be an early applicant

Job description

Job Title: Technical Architect
Location: Mclean, VA (onsite)
Job Type: full time
 
Job Description
We are seeking an experienced Kafka Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka. The ideal candidate will have deep expertise in distributed systems, messaging frameworks, real-time data pipelines, and cloud-native platforms, with the ability to guide both technical design and strategic adoption across the enterprise.
 
• Experience with Confluent Platform or Confluent Cloud.
• Exposure to enterprise data platforms (Snowflake, Databricks, Hadoop).
• Knowledge of financial services, banking, or credit-union domain is a plus.
• Prior experience in architecting large-scale migration from legacy messaging (IBM MQ, TIBCO, etc.) to Kafka.
• Certification in Kafka, Confluent, or Cloud platforms.
 
 Key Responsibilities 
• Define enterprise-wide Kafka architecture, design principles, and best practices.
• Lead the design and deployment of high-throughput, low-latency streaming platforms using Apache Kafka.
• Architect and manage data pipelines, including producers, consumers, schema registries, and stream processing (Kafka Streams, ksqlDB, Flink, Spark).
• Ensure scalability, reliability, and fault tolerance of Kafka clusters in on-prem, cloud, or hybrid environments.
• Establish governance, monitoring, and security models for Kafka clusters.
• Partner with application teams to modernize architectures into event-driven, microservices-based solutions.
• Provide technical leadership and mentorship to developers, engineers, and DevOps teams.
• Collaborate with enterprise architects, data engineers, and business stakeholders to ensure alignment with business objectives.