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Independent Contractor Databricks Jobs in Seattle, WA

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Independent Contractor Databricks information

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$448

$1.2K

$2.4K

How much do independent contractor databricks jobs pay per week?

As of May 28, 2026, the average weekly pay for independent contractor databricks in Seattle, WA is $1,239.69, according to ZipRecruiter salary data. Most workers in this role earn between $821.15 and $1,378.85 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Independent Contractor Databricks, and why are they important?

To thrive as an Independent Contractor Databricks, you need a solid background in data engineering, big data analytics, and proficiency with Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with Databricks platform, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly beneficial. Strong problem-solving, communication, and self-management skills help you deliver solutions independently and collaborate effectively with clients. These skills are essential for delivering robust data solutions, meeting client expectations, and staying competitive in a rapidly evolving data landscape.

What are some common challenges faced by Independent Contractor Databricks professionals when onboarding with new clients?

Independent Contractor Databricks professionals often encounter challenges such as adapting to diverse data environments and integrating Databricks with existing infrastructure. Each client may have unique data governance policies, security requirements, and legacy systems, requiring contractors to quickly learn and align with these standards. Additionally, contractors must efficiently communicate with both technical and non-technical stakeholders to understand project goals and deliver value within tight timelines. Building rapport with in-house teams and demonstrating expertise early on can help overcome these onboarding hurdles.

What are Independent Contractor Databricks?

Independent Contractor Databricks are professionals who work on a contract basis, rather than as full-time employees, to provide expertise using Databricks' unified analytics platform. They are typically hired by organizations to help with data engineering, machine learning, and big data analytics projects, leveraging Databricks' capabilities on Apache Spark. These contractors often bring specialized knowledge in cloud platforms, data pipelines, and advanced analytics, working independently or as part of project teams. Their flexible engagement allows companies to scale their data initiatives without committing to permanent hires.

What is the difference between Independent Contractor Databricks vs Data Engineer?

AspectIndependent Contractor DatabricksData Engineer
CredentialsOften requires Databricks certifications, SQL, Python, cloud platform knowledgeRequires similar certifications, SQL, Python, cloud skills, sometimes specific to cloud providers
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, corporate or tech company, hybrid or on-site
Employer & IndustryClients across industries, consulting firms, startupsTech companies, finance, healthcare, large enterprises

While both roles require data processing skills and cloud platform knowledge, Independent Contractor Databricks typically involves project-based freelance work with a focus on Databricks platform expertise. Data Engineers often work full-time within organizations, handling broader data pipeline responsibilities. The key difference lies in employment status and work setup.

What are the most commonly searched types of Databricks jobs in Seattle, WA? The most popular types of Databricks jobs in Seattle, WA are:
What are popular job titles related to Independent Contractor Databricks jobs in Seattle, WA? For Independent Contractor Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Independent Contractor Databricks jobs in Seattle, WA look for? The top searched job categories for Independent Contractor Databricks jobs in Seattle, WA are:
Independent Contractor Databricks jobs near you
Infographic showing various Independent Contractor Databricks job openings in Seattle, WA as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 44% Full Time, 37% Part Time, 16% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $64,464 per year, or $31 per hour.

Senior Data Modeler

Globenet Consulting Corp

Lynnwood, WA • Hybrid

$50 - $55/hr

Full-time

Posted 18 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Senior Data Modeler Enterprise Analytics & Data Platforms
Location: Morristown, NJ (Hybrid 3 days/week onsite)
Were looking for a Senior Data Modeler (7+ years) to design, develop, and maintain scalable data models that power enterprise analytics, data warehousing, and modern application development. In this role, youll partner closely with engineers, architects, analysts, and business stakeholders to translate complex requirements into high-performing data structures, modeling standards, and documentation that improve usability, governance, and data quality across the organization.
What youll do
  • Design conceptual, logical, and physical data models for relational, dimensional, and NoSQL data stores.
  • Create and maintain ERDs, data flow diagrams, and modeling documentation aligned to enterprise standards.
  • Collaborate with engineering and architecture teams to support efficient ingestion, transformation, and reporting pipelines.
  • Translate business needs into optimized schemas that balance scalability, performance, and maintainability.
  • Lead data model reviews, enforce standards, and mentor junior team members on best practices.
  • Develop and maintain data dictionaries, metadata, and lineage documentation to improve discoverability and reuse.
  • Design star/snowflake schemas for data warehouse and data mart environments in partnership with analytics teams.
  • Identify and resolve data quality, redundancy, and integrity issues through effective modeling and normalization/denormalization strategies.
  • Support governance initiatives, including standardization, cataloging, and stewardship alignment.
  • Participate in Agile delivery, producing modeling artifacts iteratively within sprint cycles.
Required qualifications
  • 7+ years of experience in data modeling, data architecture, or a closely related discipline.
  • Expert proficiency with modeling tools such as Erwin, ER/Studio, and/or dbt.
  • Strong experience with relational databases (SQL Server, Oracle, PostgreSQL) and cloud data platforms such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse.
  • Deep knowledge of dimensional modeling approaches (Kimball, Inmon) and Data Vault 2.0.
  • Advanced SQL skills for schema design, query optimization, and data validation.
  • Proven ability to work independently, manage competing priorities, and deliver in consulting/contractor-style environments.
  • Strong communication skills and the ability to explain technical concepts to technical and non-technical audiences.
Nice to have
  • NoSQL experience (MongoDB, Cassandra, DynamoDB).
  • Lakehouse architecture familiarity (Delta Lake, Apache Iceberg, Apache Hudi).
  • Exposure to governance/catalog tools (Collibra, Alation, Atlan).
  • Understanding of data mesh concepts and federated ownership models.
  • Experience in regulated domains such as finance, healthcare, or retail.
Ready to make an impact? Apply now and join us on our journey!

Flexible work from home options available.