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Full Time Databricks Developer Jobs in Dallas, TX

Photon

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

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

Photon

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

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

Northern Base

AI architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Dallas, TX (Onsite) Employment Type: Full-Time Visa Type: Not Specified ✅ Must-Have ... Engineering, and LLM-based applications ✔ Strong experience with Databricks, Azure Synapse ...

PepsiCo

Enterprise Data Operations Senior Analyst

Plano, TX · On-site +1

$118K - $148K/yr

... Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT ... Establish and enforce best practices for data engineering operations, including monitoring, logging ...

Carmax

Senior Engineer, Data (multiple positions)

Dallas, TX · On-site

$104K - $142K/yr

... Databricks, SQL, Python and Java. * Analyze and troubleshoot data integrations to identify and ... T-SQL; PL/SQL Developer; Java; Cloud; Oracle; JSON XML; Kafka; Software Development Project ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

A00152 Tech Srvcs Wholesale DAL-T Position : Full-Time Total Rewards: Benefits/Incentive ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

Essilor

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

A00152 Tech Srvcs Wholesale DAL-T Position : Full-Time Total Rewards: Benefits/Incentive ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

A00152 Tech Srvcs Wholesale DAL-T Position : Full-Time Total Rewards: Benefits/Incentive ... Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ...

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Full Time Databricks Developer information

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How much do full time databricks developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for full time databricks developer in Dallas, TX is $60.83, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $67.31 per hour, depending on experience, location, and employer.

What is a full time Databricks developer?

Full Time Databricks Developers are professionals who specialize in using the Databricks platform to process, analyze, and manage big data. They build and maintain data pipelines, develop ETL processes, and work with tools such as Apache Spark, Python, and SQL to turn raw data into actionable insights. These developers often collaborate with data scientists, engineers, and business stakeholders to implement scalable data solutions. Working full time means they are dedicated employees, typically with responsibilities that include troubleshooting data issues, optimizing performance, and ensuring data security within the Databricks environment.

What are the key skills and qualifications needed to thrive as a full time Databricks developer?

To thrive as a Full Time Databricks Developer, you need expertise in data engineering, Spark programming, and proficiency in languages like Python or Scala, often backed by a degree in computer science or related fields. Familiarity with Databricks platform, Azure or AWS cloud services, and certifications such as Databricks Certified Data Engineer are commonly expected. Strong problem-solving abilities, attention to detail, and effective collaboration skills help you stand out in this role. These skills ensure efficient data processing, reliable pipeline development, and seamless teamwork for delivering scalable analytics solutions.

What are the typical collaboration expectations for a full time Databricks developer within a data engineering team?

As a Full Time Databricks Developer, you’ll frequently collaborate with data engineers, data scientists, and business analysts to design, build, and optimize data pipelines and workflows. Expect to participate in agile ceremonies, code reviews, and cross-functional meetings to ensure alignment on project goals and data requirements. Communication is key, as you’ll often translate technical concepts for non-technical stakeholders and work together to resolve data quality, performance, or integration challenges. This collaborative environment not only fosters innovation but also provides opportunities to broaden your skills and contribute to impactful business solutions.

What is the difference between Full Time Databricks Developer vs Data Engineer?

AspectFull Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformBuilding, maintaining, and optimizing data infrastructure and pipelines across various platforms
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data architecture
Work EnvironmentCollaborates closely with data scientists and analysts within cloud-based environmentsWorks with data infrastructure teams, cloud services, and data storage systems

While both roles require expertise in Spark, SQL, and cloud platforms, a Full Time Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas a Data Engineer has a broader scope, managing overall data infrastructure and pipelines across multiple platforms.

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

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

What are popular job titles related to Full Time Databricks Developer jobs in Dallas, TX?

For Full Time Databricks Developer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Full Time Databricks Developer jobs in Dallas, TX look for?

The top searched job categories for Full Time Databricks Developer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Full Time Databricks Developer jobs?

Cities near Dallas, TX with the most Full Time Databricks Developer job openings:

Full Time Databricks Developer jobs near you

Data Engineer - Dallas, TX

Photon

Dallas, TX • On-site

$113K - $136K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

We are seeking a Data Engineer who will be responsible for the "Ingestion-to-Insight" pipeline that allows autonomous agents to access, search, and reason over vast amounts of proprietary and public data.

Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate decisions.

Key Responsibilities

  • AI-Ready Data Pipelines: Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption.
  • Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval.
  • Chunking & Embedding Strategies: Collaborate with AI Engineers to optimize data chunking strategies and embedding models to improve the "recall" and "precision" of the agent's knowledge retrieval.
  • Data Quality for AI: Develop automated "Data Cleaning" workflows to remove noise, PII (Personally Identifiable Information), and toxicity from training/context datasets.
  • Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks.
  • Real-time Data Streaming: Build low-latency data streams (using Kafka or Flink) to provide agents with "fresh" data, enabling them to act on real-time market or operational changes.
  • Evaluation Frameworks: Construct "Gold Datasets" and versioned data snapshots to help the team benchmark agent performance over time.

Required Skills & Qualifications

  • Experience: 4+ years in Data Engineering, with at least 1 year focusing on data for LLMs or AI/ML applications.
  • Python Mastery: Deep expertise in Python (Pandas, Pydantic, FastAPI) for data manipulation and API integration.
  • Data Tooling: Strong experience with modern data stack tools (e.g., dbt, Airflow, Dagster, Snowflake, or Databricks).
  • Vector Expertise: Hands-on experience with at least one major Vector Database and knowledge of similarity search algorithms (HNSW, Cosine Similarity).
  • Search Knowledge: Familiarity with hybrid search techniques (combining semantic search with traditional keyword search like Elasticsearch/BM25).
  • Cloud Infrastructure: Proficiency in managing data workloads on AWS, Azure, or GCP.

Preferred Qualifications

  • Experience with LlamaIndex or LangChain for data ingestion.
  • Knowledge of Graph Databases (e.g., Neo4j) to help agents understand complex relationships between data points.
  • Familiarity with "Data-Centric AI" principles-prioritizing data quality over model size.

Compensation, Benefits and Duration

Minimum Compensation: USD  38,000
Maximum Compensation: USD 133,000
Compensation 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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