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Freelance Databricks Data Engineer Jobs in Dallas, TX

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... architectures on Databricks, Snowflake, AWS, or Azure. Required Skills: Minimum 5+ years of ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Experience working with Databricks and Delta Lake architecture * Good understanding of SQL ...

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer - Senior Manager

Dallas, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean, efficient ... Proficiency in SQL and Python programming * Practical experience with PySpark and distributed data ...

Sr.Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Senior Data Engineer / Databricks Engineer Location: Dallas, TX Duration: Long Term Client: SWA Experience: 7+ Years Role Overview We are looking for a strong Senior Data Quality Engineer ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

Senior Snowflake Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking a Senior Snowflake Data Engineer with strong hands-on experience in Snowflake and Databricks to join our data engineering team in Dallas, TX. The ideal candidate will be responsible ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Work with cloud data platforms including Databricks, Snowflake, AWS, and/or Azure. * Build and ... Collaborate with engineering, analytics, and business teams to develop production-ready data ...

Showing results 21-40

Freelance Databricks Data Engineer information

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How much do freelance databricks data engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance databricks data engineer in Dallas, TX is $47.19, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $61.11 per hour, depending on experience, location, and employer.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

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

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

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

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in Dallas, TX?

The most popular types of Databricks Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Freelance Databricks Data Engineer jobs in Dallas, TX?

For Freelance Databricks Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Databricks Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Freelance Databricks Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Freelance Databricks Data Engineer jobs?

Cities near Dallas, TX with the most Freelance Databricks Data Engineer job openings:

Lead Databricks Platform Engineer / Solutions Architect

NTT DATA, Inc.

Plano, TX • On-site

$134.62 - $224.38/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Lead Databricks Platform Engineer / Solutions Architect

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Lead Databricks Platform Engineer / Solutions Architect to join our team on‑site in either Plano, TX; Chicago, IL; Minneapolis, MN; or Atlanta, GA.

Job Description: Databricks Platform & Data Engineer (CoE). Locations: Plano, TX | Minneapolis, MN | Chicago, IL | Atlanta, GA. Organization: NTT DATA – Databricks Center of Excellence (CoE). Experience: 12+ years overall; 5+ years with Databricks (enterprise‑scale).

Overview

NTT DATA is seeking a senior Databricks Platform & Data Engineer to join our Databricks Center of Excellence (CoE). This role blends platform engineering, architecture, and hands‑on data engineering, with a focus on building and scaling enterprise‑grade Databricks environments for large, regulated clients. The ideal candidate will lead platform setup, governance, and adoption, while partnering directly with clients to design and deliver high‑impact use cases leveraging the latest Databricks capabilities (e.g., Dataflow, Unity Catalog, AI/BI, Genie). This is a client‑facing consulting role requiring strong technical depth, communication skills, and the ability to translate business requirements into scalable data platform solutions.

Key Responsibilities
  • Design and deploy enterprise‑scale Databricks Lakehouse platforms across AWS and Azure.
  • Establish secure, governed environments using Unity Catalog, role‑based access controls, and data lineage.
  • Define platform standards, reusable patterns, and guardrails for scalable adoption.
  • Optimize platform performance, cost, and reliability for production workloads.
  • Implement CI/CD, environment promotion, and DevOps automation for Databricks.
  • Lead adoption of modern Databricks capabilities such as Unity Catalog, Dataflow/declarative pipelines, and Genie/AI‑assisted development.
  • Enable AI/BI dashboards, model serving, and advanced analytics use cases.
  • Build and optimize batch and streaming data pipelines using Spark and Delta Lake.
  • Develop data products and domain‑oriented pipelines aligned to enterprise data strategies.
  • Lead end‑to‑end use case delivery, from requirements to production deployment.
  • Drive data quality, observability, and pipeline reliability.
Client Engagement & Advisory
  • Act as a trusted advisor to client stakeholders (architecture, data, risk, and business teams).
  • Translate business requirements into technical architecture and delivery roadmaps.
  • Lead workshops, solution design sessions, and platform adoption strategies.
  • Support proposals, solutioning, and client innovations within regulated industries.
CoE Contribution
  • Build and contribute to NTT DATA accelerators, frameworks, and reusable assets.
  • Define best practices, reference architectures, and playbooks for enterprise Databricks adoption.
  • Mentor junior engineers and support capability building across the CoE.
Required Qualifications
  • 12+ years of experience in data engineering, platform engineering, or data architecture.
  • 5+ years hands‑on experience with Databricks in large enterprise environments.
  • Deep expertise in Apache Spark (Scala/Python), Delta Lake and Lakehouse architectures, Databricks workspace setup, cluster policies, and job orchestration.
  • Strong experience with cloud platforms (AWS, Azure, or GCP).
  • Experience implementing data governance, security, and compliance controls.
  • Proven ability to design and deliver scalable, production‑grade data platforms.
  • Strong client‑facing and communication skills.
Preferred Qualifications
  • Experience in financial services or other regulated industries.
  • Familiarity with data governance frameworks, regulatory reporting, and risk data environments.
  • Databricks certifications (e.g., Data Engineer, Solutions Architect).
  • Experience with real‑time streaming (Kafka, Structured Streaming), MLOps/model serving, data marketplace/data product architectures.
  • Exposure to AI‑assisted development workflows and agent‑based tooling.
Location & Relocation

Candidates must be within reasonable commuting distance of or able to relocate to Plano, TX; Minneapolis, MN; Chicago, IL; or Atlanta, GA.

Compensation

NTT DATA provides a reasonable range of compensation for U.S.‑based positions. The starting pay range depends on the location: Plano, TX and Atlanta, GA $134,625–$224,375; Chicago, IL or Minneapolis, MN $148,088–$246,812. Actual compensation will depend on factors such as work location, experience, technical skills, and other qualifications.

Benefits

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401(k) program with company match, and additional voluntary or legally‑required benefits.

Equal Employment Opportunity Statement

NTT DATA is an equal‑opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. For Pay Transparency information, please click here.

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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967