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Independent Contractor Databricks Jobs (NOW HIRING)

DEW Softech Inc

Workday Finance Consultant

Newark, DE · Remote

... Databricks is a plus. Interview process: 2 virtual technical interview We are seeking a skilled and ... Proven ability to operate independently as a remote contractor Preferred: * Workday Pro ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ... This position is not available for independent contractors No applications will be considered if ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ... This position is not available for independent contractors No applications will be considered if ...

Apex Systems

Trading Daitaiku Lead

Houston, TX · On-site

... Databricks. Key Responsibilities * Serve as the subject matter expert for commodity price ... Demonstrated experience with Independent Price Verification (IPV) methodologies and market data ...

Apex Systems

Data Architect

Glen Allen, VA · On-site

$59.25 - $76.25/hr

Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ... Know when to make independent decisions and when to circle back to the broader team with ...

hyrusinc

Azure and Google Cloud Engineer

New York, NY

$61 - $81.50/hr

Position Overview We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to ... Ability to work independently in a fast-paced environment. Strong documentation and stakeholder ...

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Independent Contractor Databricks information

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How much do independent contractor databricks jobs pay per week?

As of Sep 1, 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 is an 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 skills and qualifications are needed to thrive as an independent contractor Databricks?

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 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 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.

Does independent contractor Databricks allow remote work?

Independent contractor roles at Databricks often offer remote work options, depending on the project and client requirements. Flexibility in work location is common, especially for roles involving data analysis, cloud computing, and software development, which can typically be performed remotely with the right technical setup. However, specific arrangements may vary based on the engagement and company policies.
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Independent Contractor Databricks jobs near you
Infographic showing various Independent Contractor Databricks job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, and 8% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.

Lead GTM Finance Analyst (R5361)

Shield AI

Washington, DC • On-site

Full-time

Re-posted 24 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We are building advanced autonomous systems that redefine the future of defense and national security. Scaling a mission-driven company at this pace requires financial precision, rapid insight, and a data backbone built for speed and accuracy.

We are hiring a GTM Finance business partner to support Sales, Business Development, Marketing, and Customer Success. This is a hybrid role across finance, data engineering, and operational strategy - ideal for someone who moves confidently between modeling, systems, and decision-making.

You will own the end-to-end GTM cost structure: OpEx budgets, headcount planning, spend analytics, and the data pipelines and reporting frameworks that power GTM intelligence. You'll also set the SOPs and data quality standards that shift finance from reactive reporting to proactive leadership.

If you thrive in high-stakes environments and believe finance should steer the business - not just record it - you'll excel here.

What you'll do:
Headcount & Spend Management
  • Build and maintain GTM headcount, spend forecasting, tracking, and capacity model
  • Provide full visibility into GTM Opex, identifying cost drivers and resource optimization opportunities
  • Monitor actuals vs. plan and forecast; drive accountability with cost center owners
  • Partner with Data Engineering and system owners to automate headcount reconciliations across HR, Finance, and GTM systems - including unit economics
Data Engineering & Analytics Infrastructure
  • Partner with Data Engineering and BI to define data architecture, KPIs, and source-of-truth models
  • Build automated reporting workflows and capacity models in partnership with Data Engineering or Anaplan teams
  • Write and maintain SQL for ETL workflows across the data lake / Databricks environment
  • Build and manage scalable, reliable data pipelines powering GTM finance reporting
  • Create semantic data models and curated reporting tables for consistent cross-team metrics
  • Build dashboards in Databricks, Power BI, or similar tools for real-time GTM visibility
Data Quality, Governance & SOPs
  • Establish and enforce data quality monitoring, validation rules, and anomaly detection
  • Write SOPs for key GTM finance processes: close, headcount reconciliation, budget loading, variance reporting
  • Drive consistent KPI and metric definitions across GTM, Finance, and Data
  • Implement data governance practices to protect reporting integrity
  • Identify data or process gaps and propose scalable solutions
Cross-Functional Collaboration & Process Improvement
  • Partner with Revenue Ops, HR, Recruiting, Accounting, and Data to ensure financial plans match operational reality
  • Collaborate with Revenue Operations on quotas, pipeline forecasting, and GTM capacity
  • Continuously streamline tools, reporting, and processes with an automation-first mindset
  • Lead special projects and strategic analyses for finance leadership
Required qualifications:
  • Bachelor's degree in finance, Accounting, Economics, Business, CS, or related field
  • Experience in aerospace, defense, semiconductor, robotics, automotive, or another heavy manufacturing or hardware-driven environment
  • 3-6 years of experience in FP&A, GTM Finance, Sales Finance, RevOps, or equivalent analytical roles
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity
  • Experience with cloud data platforms (Databricks, Snowflake, Redshift, etc.) and ETL/pipeline concepts
  • Demonstrated ability to build headcount models and GTM or corporate OpEx budgets
  • Advanced financial modeling skills in Excel; strong driver-based forecasting experience
  • Excellent communication skills with both technical and non-technical stakeholders
  • Exceptional attention to detail and commitment to data accuracy
  • Ability to operate independently in a fast-paced, mission-driven environment
  • Must be authorized to work in the United States
Preferred qualifications:
  • Experience in defense tech, aerospace, or dual-use hardware/software
  • Exposure to U.S. government contracting or milestone-based revenue models
  • Proficiency with AI tools to improve analysis speed, accuracy, and productivity
  • Experience with Anaplan or similar planning tools; ERP/CRM experience (Oracle, NetSuite, Salesforce)
  • Strong SQL skills, including the ability to write, optimize, and troubleshoot queries on large datasets
Who you are:
  • Growth mindset - you actively seek feedback, learn quickly, and continuously raise your own bar
  • First principles thinker - you dig into the "why" to design smarter, simpler, more scalable solutions
  • Data and AI first operator - you automate, streamline, and systematize every process you touch
  • Highly collaborative - you build trust across Sales, Ops, Engineering, and Data
  • Operationally sharp - you turn messy input into fast, high quality decisions
  • Mission driven - motivated by work with real stakes and real impact
  • High ownership - you drive projects from ambiguity to execution without waiting to be asked
  • Rigorous yet pragmatic - you balance precision with speed and know when each matter
Why this role matters:

The GTM Finance business partner is the connective tissue between our growth ambitions and financial reality. Every headcount plan, marketing dollar, GTM model, and sales capacity decision depends on the insights and infrastructure you build.

You will shape how we invest, how fast we scale, and how effectively we win.
High impact. High visibility. Mission-critical.

This is finance with impact - high visibility, high complexity, and a direct line to the strategic decisions shaping how we go to market and win.

$110,000 - $160,000 a year
#LI-TF1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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