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Remote Databricks Developer Jobs in Irving, TX (NOW HIRING)

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines * Define and develop APIs for ...

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines * Define and develop APIs for ...

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... OpenAI, Databricks, or similar. 2+ years hands-on experience with Generative AI including LLM ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... DevOps, and Dynamics 365 data integration initiatives. The Exponential Technology Group (XTG) is a ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... DevOps, and Dynamics 365 data integration initiatives. The Exponential Technology Group (XTG) is a ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

... Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site +1

$121K - $280K/yr

... GCP, Databricks, Snowflake, vector databases, or MLOps/LLMOps tooling. • Experience working ... The starting pay range for this remote role is $121,162.00-$280,469.00. This range reflects the ...

Posted today

Data Services Engineer SR

Dallas, TX · On-site +1

$113K - $136K/yr

Experience with big-data technologies such as Databricks, Spark, or Dataproc. * Familiarity with ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

Showing results 21-40

Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are popular job titles related to Remote Databricks Developer jobs in Irving, TX? For Remote Databricks Developer jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Irving, TX look for? The top searched job categories for Remote Databricks Developer jobs in Irving, TX are:
What cities near Irving, TX are hiring for Remote Databricks Developer jobs? Cities near Irving, TX with the most Remote Databricks Developer job openings:
Infographic showing various Remote Databricks Developer job openings in Irving, TX as of August 2026, with employment types broken down into 64% Full Time, 30% Contract, and 6% Nights. Highlights an 100% Remote job distribution.

Lead AI Engineer- Remote

UnitedHealth Group

Richardson, TX • On-site, Remote

$93K - $122K/yr

Full-time

Retirement

Re-posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers


Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI systems and advanced solutions that improve healthcare delivery and operations.
In this individual contributor (IC) leadership role, you will operate as a hands-on technical expert, driving architecture, development, and deployment of complex AI-powered solutions. You will architect end-to-end question answering and multiagent workflows, integrate with our internal AI platform (e.g., UAIS), and ensure responsible, compliant use of AI in a regulated environment (HIPAA). The ideal candidate combines deep software engineering expertise with hands-on experience in LLMs, RAG, agent/tool use, and evaluation on modern cloud and data platforms.
This role is ideal for someone who thrives on solving complex problems, enjoys working at the intersection of AI/ML and distributed systems, and wants to make a meaningful impact in a highly regulated, mission-driven environment.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Agentic AI Architecture & Delivery
    • Design and implement (multi) agentic workflows where LLMs plan, decompose tasks, invoke tools/APIs, and synthesize answers across heterogeneous data sources and services
    • Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data
    • Design, code, test, document, and maintain high quality, scalable Big Data and cloud solutions
    • Develop scalable microservices and APIs for integrating agent capabilities into clinician tools and internal apps
    • Create prototypes/POCs and conduct design/code reviews to derisk delivery and raise engineering quality
  • LLMs, GenAI & Model Adaptation
    • Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain adaptation for healthcare terminology and tasks
    • Design intelligent frameworks and finetune models for compliance, accuracy, and ethical standards
    • Establish evaluation frameworks (automatic + human in the loop) to measure faithfulness, helpfulness, bias, toxicity, privacy leakage, and overall quality
  • Data & Platform Engineering
    • Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines
    • Define and develop APIs for integrations across the enterprise; improve data access patterns for low latency inference
  • Delivery, MLOps & Reliability
    • Own MLOps/LLMOps: CI/CD for models/prompts, automated tests (unit/contract/eval), versioning, lineage, rollback; enable blue/green or canary releases
    • Instrument SLOs/SLIs (latency, availability, hallucination/defect rate) and cost KPIs (tokens, GPU hours) with dashboards and alerts
    • Lead production deployments on internal platforms (e.g., UAIS) with solid observability, reliability, and cost controls
  • Security, Privacy & Compliance
    • Champion HIPAA and regulated industry controls; integrate access controls, PHI/PPI safeguards, data minimization, encryption, and auditability
    • Collaborate with legal, compliance, and clinical safety to operationalize Responsible AI principles
  • Product, Estimation & Collaboration
    • Analyze and define customer requirements; assist in defining product technical architecture and delivery roadmaps
    • Provide effort estimates and inputs for resource planning; collaborate with QA, architecture, and peer teams
    • Write technical documentation, support production, and mentor engineers, and keep skills current through continuous learning

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Engineering, Computer Science, IT, or related fields
  • 10+ years of total technology experience
  • 8+ years hands on software development/data engineering/analytics with solid AI/ML delivery (Azure preferred) with Scala, Python, PySpark
  • 4+ years hands on with Databricks
  • 4+ years with ADF/Airflow (orchestration/scaling)
  • 4+ years with big data & streaming (Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes
  • 4+ years with MySQL and NoSQL databases
  • 4+ years with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; solid coding standards and code reviews
  • 2+ years with LLMs & GenAI (Langchain, LangGraph, RAG, Vector DB, Azure Open AI, MCP Server, Agents, LangFuse)
  • 2+ years of experience with container (Docker/Kubernetes)
  • 1+ years with Proficiency building services or full stack apps (e.g., FastAPI/Flask, Node.js, React/Angular, TypeScript, HTML/CSS)

Preferred Qualifications:
  • Healthcare experience; familiarity with clinical datasets
  • Experience working in regulated industries, with knowledge of ethical AI/ML practices and compliance requirements
  • SOA and enterprise integration concepts
  • Publications/patents or notable open-source contributions
  • Proven excellent analysis, problem solving, and communication skills

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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