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Independent Contractor Databricks information

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$394

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$2.1K

How much do independent contractor databricks jobs pay per week?

As of Jul 2, 2026, the average weekly pay for independent contractor databricks in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 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 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 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 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.
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What cities are hiring for Independent Contractor Databricks jobs? Cities with the most Independent Contractor Databricks job openings:
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Independent Contractor Databricks jobs near you
Infographic showing various Independent Contractor Databricks job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.
Data Solution Architect | Jersey City | Onsite

Data Solution Architect | Jersey City | Onsite

Photon

Dallas, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Data Solution Architect

We are seeking a highly experienced Data Solution Architect with a strong background in process engineering to lead the design and implementation of end-to-end data architecture solutions across enterprise environments. The ideal candidate will possess deep technical expertise in data platforms, cloud services, and data modeling, coupled with a process-oriented mindset to streamline and optimize data-driven workflows and operations.

Key Responsibilities:

  • Design scalable and secure data architecture solutions aligning with business goals and technical requirements.
  • Lead data integration, transformation, and modeling efforts across structured and unstructured sources.
  • Analyze and engineer data-related processes to improve data quality, consistency, and throughput.
  • Collaborate with business and engineering teams to define data strategy, governance, and lifecycle management.
  • Translate business processes into data flows and system requirements, identifying areas for automation and improvement.
  • Develop end-to-end data blueprints, solution roadmaps, and architectural patterns.
  • Evaluate emerging technologies and tools to support continuous improvement in data architecture and process efficiency.
  • Ensure adherence to data privacy, compliance, and security policies (e.g., GDPR, HIPAA).
  • Mentor technical teams and provide architectural oversight across multiple data projects.

Required Skills & Qualifications:

  • Proven experience (10+ years) in data architecture, data engineering, or solution architecture roles.
  • Strong expertise in process engineering, including process mapping, optimization, and automation.
  • Proficiency with modern data platforms and tools (e.g., Snowflake, Redshift, Databricks, BigQuery, Azure Synapse).
  • Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Informatica, Talend).
  • Deep understanding of database systems (SQL, NoSQL), data lakes, and data warehouse concepts.
  • Experience in designing solutions on cloud platforms (AWS, Azure, or GCP).
  • Familiarity with CI/CD pipelines, DevOps for data, and infrastructure-as-code.
  • Excellent communication and stakeholder management skills.

Compensation, Benefits and Duration

Minimum Compensation: USD 59,000Maximum Compensation: USD 207,000Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors. No applications will be considered if received more than 120 days after the date of this post.

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