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

Software Engineer, Senior

Mclean, VA · On-site

$130K - $196K/yr

AWS EMR) and Snowflake * Maintain data ingestion libraries written in Java and Python * Collaborate ... Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include ...

Lead Data Engineer (Bank Tech)

Mclean, VA · On-site

$103K - $136K/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.

... 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.

Lead Data Engineer

Mclean, VA · On-site

$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.

... 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.

Lead Data Engineer

Mclean, VA · On-site

$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.

Lead Data Engineer

Mclean, VA · On-site

$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

$37

$70

$88

How much do full time snowflake jobs pay per hour?

As of Jun 9, 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:
Infographic showing various Full Time Snowflake job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 25% Full Time, 65% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $146,295 per year, or $70.3 per hour.
Software Engineer, Senior

Software Engineer, Senior

Freddie Mac

Mclean, VA • On-site

$130K - $196K/yr

Full-time

Posted 10 days ago


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
We are seeking a highly skilled Senior Software Engineer to join our team and enhance our internal data platform. This role requires expertise in modern cloud-based data infrastructure to support data-driven decision-making and modeling across the organization. The ideal candidate will possess a strong background in data engineering, software engineering, and AWS familiarity.
Our Impact:
  • We manage a critical internal data platform supporting key business operations, including prepayment model development, trading analytics, and securitization.
  • We collaborate with various teams to understand their data requirements and design systems that align with their business objectives.
  • We ensure our systems are robust, scalable, fault-tolerant, and cost-effective.

Your Impact:
  • Design, build, maintain and support ETL/ELT data pipelines using AWS Services (e.g. AWS EMR) and Snowflake
  • Maintain data ingestion libraries written in Java and Python
  • Collaborate with data producers, data scientists / modelers and data consumers to understand their requirements and design innovative solutions to empower them
  • Design and develop new code, review existing code changes, and implement automated tests.
  • Actively seek opportunities to continuously improve the technical quality and architecture to improve the product's business value.
  • Improve the product's test automation and deployment practices to enable the team to deliver features more efficiently.
  • Operate the data pipelines in production including release management and production support.

Qualifications:
  • College Degree or equivalent experience; advanced degree or studies preferred At least 5 - 7 years of experience developing production software
  • Strong Python skills with at least two years of experience writing production code
  • At least two years of experience in data engineering, including Apache Spark
  • At least one year of experience with Snowflake
  • Exposure to AWS and a willingness to learn more
  • Experience writing automated unit, integration, regression, performance and acceptance tests
  • Solid understanding of software design principles

Keys to Success in this Role:
  • Passionate about hands-on software development
  • A desire to work on all aspects of the software development lifecycle: requirements gathering, design, development, testing and operations
  • Strong collaboration and communication skills (both written and verbal)
  • Desire to continuously improve the team's technical practices
  • Ability to quickly learn, apply and deploy new technologies to solve emerging problems

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $130,000 - $196,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970