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Freelance Data Platform Engineer Jobs in Virginia

540

Platform Engineer

Arlington, VA · On-site

540 is seeking a Platform Engineer to support a mission-critical platform that enables the ... Experience supporting DoW, federal, Advana, or other enterprise data environments * Familiarity ...

540

Platform Engineer

Arlington, VA · On-site

540 is seeking a Platform Engineer to support a mission-critical platform that enables the ... Experience supporting DoW, federal, Advana, or other enterprise data environments * Familiarity ...

540

Platform Engineer

Arlington, VA · On-site

540 is seeking a Platform Engineer to support a mission-critical platform that enables the ... Experience supporting DoW, federal, Advana, or other enterprise data environments * Familiarity ...

Adarga

Platform Engineer - US

Herndon, VA · On-site

With a core focus on our multimodal data fusion platform, we combine the value of humans and agents ... The Role Adarga is growing its Platform Engineering team and we're looking for a Platform Engineer ...

Avalore, LLC

Platform Engineer

Arlington, VA

$97K - $192K/yr

This person will build and enhance the core services that application developers and data scientists use, ensuring the platform provides a robust and efficient environment for mission-critical tasks.

Guidehouse

Palantir Platform Engineer

Arlington, VA · On-site

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret What You Will Do: Focus on engineering, building, and maintaining shared platform capabilities, data ...

Guidehouse

Palantir Platform Engineer

Arlington, VA · On-site +1

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret What You Will Do: Focus on engineering, building, and maintaining shared platform capabilities, data ...

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Freelance Data Platform Engineer information

What is a freelance data platform engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What are the key skills and qualifications needed to thrive as a freelance data platform engineer?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

How do freelance data platform engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

What is the difference between Freelance Data Platform Engineer vs Data Engineer?

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

How much do freelance data platform engineers make?

Freelance data platform engineers typically earn between $50 and $150 per hour, depending on experience, skills, and project complexity. Experienced professionals with expertise in cloud platforms, data pipelines, and tools like Apache Spark or Kafka tend to command higher rates. Annual earnings vary widely based on workload and client base, often ranging from $80,000 to over $200,000 for full-time equivalent work.

What are the most commonly searched types of Data Platform Engineer jobs in Virginia?

The most popular types of Data Platform Engineer jobs in Virginia are:

What are popular job titles related to Freelance Data Platform Engineer jobs in Virginia?

For Freelance Data Platform Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Freelance Data Platform Engineer jobs in Virginia look for?

The top searched job categories for Freelance Data Platform Engineer jobs in Virginia are:

What cities in Virginia are hiring for Freelance Data Platform Engineer jobs?

Cities in Virginia with the most Freelance Data Platform Engineer job openings:

Freelance Data Platform Engineer jobs near you

Director, Enterprise Data Platform & Engineering

Medallia

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Key responsibilities

  • Own and evolve the enterprise data strategy and technical architecture for the data platform.

  • Partner with business leaders to gather requirements, prioritize the backlog, and deliver data solutions using an agile approach.

  • Provide hands-on leadership and coaching to a team of data engineers and analysts, reviewing data models and pipelines.

Job description

Overview
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role and Team
The Head of Data Platform & Engineering owns our internal enterprise data strategy and platform, turning raw operational data into governed, trusted data products that power decision-making for our executive leadership team (ELT), FP&A, GTM Analytics and other business functions within Medallia. This is a hands-on leadership role for someone with demonstrated experience in defining a data strategy, executing on the platform architecture and data modeling, and building and coaching a small team of data engineers and analysts. This role will also lead the effort to extend self-service analytics beyond a small group of expert Tableau users to a broader, distributed set of business analysts by leveraging the newer breed of analytics solutions and AI.
This role sits at the center of how we operate as one integrated, high-performing company: the data platform is the connective tissue that gives leadership a single source of truth on the health of the business, and gives go-to-market teams (Marketing, Sales, Service, and Support) the insight they need to protect and grow our customer base.
Responsibilities
  • Own and evolve the enterprise data strategy and technical architecture for the enterprise data platform, continuing our shift to a Medallion (bronze/silver/gold) architecture.
  • Build a deep working knowledge of the company's GTM strategy, product telemetry, and financial reporting needs; act as a trusted advisor to business functions, translating their priorities into well-governed data products and a prioritized roadmap.
  • Partner with business function leaders and their distributed analytics teams to gather requirements, prioritize the backlog, and run an agile delivery model with a clear bias to action.
  • Provide hands-on leadership and coaching to a small team of data engineers and analysts, reviewing data models and pipelines and unblocking technical decisions.
  • Define and maintain data governance standards - quality, access, lineage, and shared definitions - in partnership with data owners across the business.
  • Lead the evaluation and rollout of tools that extend self-service analytics and AI enablement to non-technical business users, reducing reliance on multiple Excel workbooks and avoiding the learning curve of more complex BI solutions.
  • Partner cross-functionally on data initiatives that support revenue growth: pipeline generation, prospecting, expansion and renewal (ATR) opportunities, rep productivity, and product telemetry - bringing greater predictability and insight to the business.
  • Lead the selection, implementation, and management of the core data platform technology stack; partner with business functions on selection and management of the analytics and visualization tools that leverage the data platform.
  • Identify opportunities to apply AI to the data platform itself and to internal reporting and analytics workflows, in line with the company's broader AI-enablement priorities.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Qualifications
Minimum Qualifications
  • 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team.
  • Hands-on experience and proficiency in SQL and dbt (or a comparable transformation and orchestration solution) to transform raw source data into analysis-ready, governed tables and views.
  • Demonstrated experience architecting and operating cloud data platforms (e.g., Snowflake or a comparable cloud data warehouse) at enterprise scale, leveraging pipeline orchestration (e.g., Dagster, Airflow, or similar) and EL / ETL tooling (e.g., Fivetran or similar).
  • Experience designing and executing a data platform strategy end to end - from technical architecture, through data governance, to business adoption.
  • Track record of translating ambiguous business requirements into clear data models, metrics, and reporting.
  • Experience running an agile delivery model with a bias to action and a track record of shipping incremental business value.
  • Strong communication, prioritization, and stakeholder management skills; comfortable operating as a trusted advisor to executive and business-function leaders, not just a service provider, in a dynamic environment.
  • Proven people leadership: hiring, coaching, and developing a small, senior technical team.

Preferred Qualifications
  • Direct experience with a Medallion (bronze/silver/gold) or similar layered data architecture.
  • Experience with Tableau and with newer spreadsheet-native, self-service BI tools (e.g., Sigma, Omni) - particularly in extending BI to non-technical business analysts.
  • Familiarity with native AI/ML capabilities within a cloud data platform (e.g., Snowflake Cortex) and a passion for leveraging AI to accelerate data engineering and analytics work.
  • Experience in a B2B software/SaaS company, ideally supporting FP&A, GTM (marketing, sales, service/support), and executive data and reporting use cases.
  • Ability to distill signal from noise in large, messy data sets and crisply communicate the "so what" to non-technical executive audiences.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $155,500 - $270,000. This position is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.
Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.
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