CrawlJobs Logo

Staff Engineer I – Azure Databricks Engineer

United States, Irving, Dallas · Job Posted April 01, 2026
Apply Position
Job Link Share

Job Description

Software Resources has an immediate, direct hire job opportunity for a Staff Engineer I – Azure Databricks Engineer with a major corporation in Dallas, TX. 4 days per week on-site, Friday Remote.

Job Responsibility

  • Responsible for delivery and operations of technologies and platforms required to model, transform, analyze, report, visualize data
  • Work in a mid-level role with proficiency needed in building, optimizing, streamlining and automating the Azure Databricks platform to enable analytical workloads like Machine learning (ML), Model Development, Data Insights, Data Science etc
  • Partner with ML engineers, data scientists, data analysts, and enterprise architects to enforce best practices, train and enable users using the Azure Databricks platform
  • Take assignments that can be worked on individually without supervision and manage work effort from concept to completion
  • Build, optimize and maintain the Azure Databricks platform, ensuring scalability, security, governance and performance
  • Implement and manage Azure Databricks workspaces, clusters, jobs, access management
  • Implement and manage policies, monitoring and observability for the Azure Databricks platform
  • Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements
  • Work closely with business and analytics teams to ensure reliable and governed data access for data needed for analytics
  • Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services
  • Stay current on emerging data analytics technologies, recommending enhancements to improve efficiency and governance

Requirements

  • 5+ years of related experience in data analytics administration and development
  • 2+ years of Databricks related experience
  • Bachelor’s degree in related field required
  • Hands-on experience in Azure Databricks (Workspace management, Clusters, Jobs, Unity Catalog, Delta Lake, User access management, Rest APIs and SDKs)
  • Understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, networking
  • Experience with CI/CD pipelines (Azure DevOps preferred)
  • Strong programming skills in SQL, Python, and/or PySpark
  • Proven experience in leading cross-functional teams and managing multiple projects simultaneously
  • Intermediate to advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross-functional teams. Expertise in resolving conflicts and addressing challenges as well as skilled at identifying and mitigating risks at the project level
  • Good communication skills, excellent teamwork experience
  • Occasional travel might be required

Nice to have

Intermediate to advanced knowledge of general Financial Services or Banking preferred

What we offer

  • Competitive salaries
  • An ownership stake in the company
  • Medical and dental insurance
  • Time off
  • A great 401k matching program
  • Tuition assistance program
  • An employee volunteer program
  • A wellness program
  • Opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Staff Engineer I – Azure Databricks Engineer

8 matching positions

Staff Engineer I – Azure Databricks Engineer

Location
Location
United States , Irving
Salary
Salary:
Not provided
softwareresources.com Logo
Software Resources
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of related experience in data analytics administration and development
  • 2+ years of Databricks related experience
  • Bachelor's degree in related field required
  • Hands-on experience in Azure Databricks (Workspace management, Clusters, Jobs, Unity Catalog, Delta Lake, User access management, Rest APIs and SDKs)
  • Understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, networking
  • Experience with CI/CD pipelines (Azure DevOps preferred)
  • Strong programming skills in SQL, Python, and/or PySpark
  • Proven experience in leading cross-functional teams and managing multiple projects simultaneously
  • Intermediate to advanced ability to see the big picture and align projects with organizational goals
  • Capable of leading and motivating cross-functional teams
Job Responsibility
Job Responsibility
  • Delivery and operations of technologies and platforms required to model, transform, analyze, report, visualize data
  • Building, optimizing, streamlining and automating the Azure Databricks platform to enable analytical workloads like Machine learning (ML), Model Development, Data Insights, Data Science etc
  • Partner with ML engineers, data scientists, data analysts, and enterprise architects to enforce best practices, train and enable users using the Azure Databricks platform
  • Take assignments that can be worked on individually without supervision and manage work effort from concept to completion
  • Build, optimize and maintain the Azure Databricks platform, ensuring scalability, security, governance and performance
  • Implement and manage Azure Databricks workspaces, clusters, jobs, access management
  • Implement and manage policies, monitoring and observability for the Azure Databricks platform
  • Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements
  • Work closely with business and analytics teams to ensure reliable and governed data access for data needed for analytics
  • Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services
What we offer
What we offer
  • Competitive salaries
  • An ownership stake in the company
  • Medical and dental insurance
  • Time off
  • A great 401k matching program
  • Tuition assistance program
  • An employee volunteer program
  • A wellness program
Read More
Arrow Right

Senior / Staff Full-Stack Data Engineer – Databricks

At Codvo, we are committed to building scalable, future-ready data platforms tha...
Location
Location
India , Pune
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Databricks, Apache Spark, and Delta Lake
  • Proven experience building and operating production-grade data pipelines
  • Experience operationalizing machine learning models and inference pipelines
  • Strong understanding of data reliability, observability, and monitoring practices
  • Experience with CI/CD, DevOps, and MLOps workflows
  • Experience working with cloud platforms (AWS or Azure)
  • Familiarity with Unity Catalog and enterprise data governance concepts
  • Experience with spec-driven development and coding agents
Job Responsibility
Job Responsibility
  • Design, build, and maintain ETL/ELT pipelines on Databricks using Spark, Delta Lake, and Databricks Workflows
  • Build and operate batch and real-time data pipelines for ingestion, transformation, and orchestration
  • Operationalize machine learning inference pipelines authored by data scientists (batch and real-time)
  • Ensure consistency between model training and inference environments
  • Implement data quality checks, validation rules, monitoring, alerting, and automated recovery
  • Collaborate with data scientists to productionize models and optimize inference performance and cost
  • Implement CI/CD, DevOps, and MLOps best practices for data pipelines and ML workflows
  • Optimize compute, storage, and job configurations for performance and cost efficiency
  • Implement and manage enterprise data governance using Unity Catalog (schemas, lineage, ownership, documentation)
  • Work with Databricks infrastructure and platform configurations
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

Data Idols are working with one of the best-known retail brands in the UK that a...
Location
Location
United Kingdom , London
Salary
Salary:
85000.00 - 95000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Azure data platforms
  • Advanced SQL skills
  • Commercial experience using Databricks and PySpark
  • Proven background building and maintaining scalable data pipelines
Job Responsibility
Job Responsibility
  • Take ownership of complex, production-grade data pipelines
  • Act as a technical leader within the data engineering team
  • Work on cloud-native solutions built on Azure and Databricks
  • Make key decisions around data processing, modelling, and performance
  • Help set best practices
  • Support other engineers
  • Influence how data engineering is done across the organisation
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

Data Idols are working with one of the best-known retail brands in the UK that a...
Location
Location
United Kingdom , London
Salary
Salary:
85000.00 - 95000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Azure data platforms
  • Advanced SQL skills
  • Commercial experience using Databricks and PySpark
  • Proven background building and maintaining scalable data pipelines
Job Responsibility
Job Responsibility
  • Play a key role in scaling production data systems and raising engineering standards across the wider data function
  • Take ownership of complex, production-grade data pipelines and act as a technical leader within the data engineering team
  • Work on cloud-native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance
  • Help set best practices, support other engineers, and influence how data engineering is done across the organisation
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Backend

Tonal is looking for a passionate Staff Backend Engineer to work cross-functiona...
Location
Location
United States , San Francisco; Toronto
Salary
Salary:
200000.00 - 220000.00 USD / Year
tonal.com Logo
Tonal
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of software development experience
  • Track record of solving problems end-to-end
  • Experience with distributed systems, microservices architecture, cloud platforms (AWS, Azure or GCP) and RESTful APIs
  • Expertise in server-side software development in Golang (or other languages, e.g. Rust, C++, C#, Java, Python)
  • Strong understanding of database design and modeling (e.g., PostgreSQL)
  • Excellent communicator with the ability to work collaboratively and cohesively in a cross-functional team
  • Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker
Job Responsibility
Job Responsibility
  • Impact and contribute to the development of major software projects for our backend services
  • Collaborate with our tightly integrated software, hardware and content teams to continually evolve a unique, consumer-oriented fitness product
  • Work closely with product team to clarify requirements and develop designs for new features
  • Implement, test, deploy and monitor software for our cloud-based backend microservices
  • Write and review clean, secure and testable code with a focus on maintainability, scalability and performance
  • Develop and support cloud-based big data pipelines
  • Use analytics to understand product behavior and motivate data-driven decisions
  • Mentor and share your broad knowledge with more junior engineers
What we offer
What we offer
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Staff Data Engineer

Data Idols are working with one of the best-known retail brands in the UK that a...
Location
Location
United Kingdom , London
Salary
Salary:
85000.00 - 95000.00 GBP / Year
dataidols.com Logo
Data Idols
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Azure data platforms
  • Advanced SQL skills
  • Commercial experience using Databricks and PySpark
  • Proven background building and maintaining scalable data pipelines
Job Responsibility
Job Responsibility
  • Take ownership of complex, production-grade data pipelines
  • Act as a technical leader within the data engineering team
  • Work on cloud-native solutions built on Azure and Databricks
  • Make key decisions around data processing, modelling, and performance
  • Set best practices
  • Support other engineers
  • Influence how data engineering is done across the organisation
  • Fulltime
Read More
Arrow Right

Staff Software Engineer (Infra)

As a Staff Software Engineer (Infra) at Amigo, you'll own the technical directio...
Location
Location
United States , New York City
Salary
Salary:
220000.00 - 260000.00 USD / Year
amigo.ai Logo
Amigo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of production infrastructure experience, with significant time at elite engineering organizations
  • Expert-level experience with Kubernetes and container orchestration at scale
  • Proven track record designing infrastructure that scales across multiple regions
  • Deep experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of infrastructure-level networking and security configurations
  • History of establishing engineering standards and mentoring engineers
  • Extremely high standards for reliability, security, and operational excellence
  • Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes
  • Deep knowledge of infrastructure as code tools (Terraform, Pulumi, or similar)
  • Experience with compliance requirements and data residency controls in regulated industries
Job Responsibility
Job Responsibility
  • Own technical architecture for infrastructure across cloud platforms, Kubernetes, Databricks, and supporting systems
  • Drive engineering standards for reliability, security, observability, and incident response
  • Architect multi-region deployment strategies with zero-downtime updates for critical systems
  • Design the compliance & security infrastructure for healthcare (HIPAA, SOC 2) and support future regulatory requirements
  • Own disaster recovery architecture and backup systems meeting healthcare compliance requirements
  • Make build vs. buy decisions for infrastructure tooling and evaluate technical tradeoffs
  • Design auto-scaling systems that handle traffic spikes while maintaining cost efficiency
  • Own infrastructure as code of our infrastructure, ensuring clearly documented and identical deployments across regions
  • Mentor engineers and establish patterns that raise the bar for the infrastructure team
  • Collaborate with backend, platform, and security teams to ensure system-wide coherence
What we offer
What we offer
  • Comprehensive health, dental, and vision insurance
  • Mental health support and wellness coaching
  • Flexible wellness stipend for fitness, therapy, or personal growth
  • Daily catered lunch and dinner
  • Annual learning budget for courses, books, or conferences
  • Conference attendance budget for professional development
  • Development setup of your choice
  • Academic collaboration opportunities
  • Fulltime
Read More
Arrow Right

Staff Artificial Intelligence Machine Learning Engineer

The Role: General Motors is seeking a Staff AI/ML Engineer for the Vehicle Mech...
Location
Location
United States , Austin
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Graduate degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, or a closely related quantitative field
  • 7+ years of hands-on experience designing, building, and operating machine learning systems in production environments
  • Strong proficiency in Python (production-quality code, testing, packaging) and SQL, with experience working in shared, multi-developer codebases
  • Practical experience with core ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
  • Experience building data and ML workloads on cloud platforms, preferably Microsoft Azure, and working with Databricks, Spark, or similar distributed processing frameworks
  • Demonstrated ability to turn ambiguous real-world problems into shippable AI/ML solutions, owning the details from data exploration through deployed service and ongoing operation
  • Strong understanding of ML system behavior in production (data issues, non-stationarity, latency, throughput, failure modes) and comfort debugging with logs, metrics, and traces
  • Excellent communication and collaboration skills, with a track record of influencing decisions and mentoring other AI/ML practitioners
Job Responsibility
Job Responsibility
  • Design, build, and operate end-to-end AI/ML solutions (data pipelines, models, services, and tools) for diagnostics, prognostics, and test analytics
  • Implement production-grade ML pipelines on platforms such as Azure and Databricks, covering data ingestion, feature engineering, training, evaluation, and inference for batch and streaming workloads
  • Develop and maintain robust, observable ML services and internal tools that make complex vehicle and field data easy to use for engineers and technical stakeholders
  • Apply practical ML and statistical methods (e.g., tree-based models, time-series and anomaly detection, deep learning where appropriate) with a focus on reliability, explainability, and impact
  • Own model and data observability in production, including metrics, dashboards, alerts, and remediation workflows for drift, data quality, and performance regressions
  • Partner with data engineering to define and use industrialized and vectorized data products that support search, RAG, and analytics at scale
  • Review designs and code, mentor AI/ML practitioners, and help set high standards for testing, logging, deployment, and documentation
  • Collaborate with diagnostics/prognostics SMEs, validation, safety, and program teams to prioritize work, define success metrics, and embed solutions in day-to-day engineering workflows
  • Fulltime
Read More
Arrow Right