Today
Public Trust
Unspecified
Unspecified
(On-Site/Office)
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.
Technology is our Passion. People are our Purpose.
We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind.
We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Azure Databricks Engineer for a Full-Time position.
As an Azure Databricks Engineer, you will be responsible for designing, building, optimizing, and maintaining scalable big data solutions on the Azure cloud platform. This role focuses on delivering high-performance data pipelines, lakehouse architectures, and integrated analytics capabilities using Azure Databricks, Apache Spark, Delta Lake, and related services. You will collaborate with data scientists, DevOps engineers, and business stakeholders to implement secure and efficient data solutions aligned with enterprise goals.
Key Responsibilities:
Required Qualifications:
Education & Experience:
Technical Proficiency:
Professional Attributes:
Preferred Qualifications:
Clearance Requirements:
Ability to obtain or maintain any security clearances required.
Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!
Our Profile:
We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More.
NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
#NAI #DICE
Technology is our Passion. People are our Purpose.
We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind.
We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Azure Databricks Engineer for a Full-Time position.
As an Azure Databricks Engineer, you will be responsible for designing, building, optimizing, and maintaining scalable big data solutions on the Azure cloud platform. This role focuses on delivering high-performance data pipelines, lakehouse architectures, and integrated analytics capabilities using Azure Databricks, Apache Spark, Delta Lake, and related services. You will collaborate with data scientists, DevOps engineers, and business stakeholders to implement secure and efficient data solutions aligned with enterprise goals.
Key Responsibilities:
- Data Pipeline Development & Management
- Design, build, and maintain scalable ETL/ELT pipelines using Databricks workflows, Delta Lake, and Apache Spark to process structured and unstructured data at scale.
- Data Architecture & Optimization
- Architect and optimize data lakehouse solutions; implement data modeling best practices and partitioning strategies to improve performance and scalability.
- Collaborative Analytics Platform Management
- Configure and manage Azure Databricks workspaces, clusters, and compute environments; implement access controls, security best practices, and cost governance strategies.
- Real-time & Batch Processing
- Develop and support both streaming data solutions (Structured Streaming) and batch processing jobs to enable data transformation and integration from multiple sources.
- MLOps & Data Science Support
- Work with data scientists to deploy ML models using MLflow, create reusable ML pipelines, and manage the model lifecycle within Databricks.
- Performance Monitoring & Troubleshooting
- Monitor data pipeline performance, implement data quality checks, troubleshoot Spark jobs, and optimize processing costs and efficiency.
Required Qualifications:
Education & Experience:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
- 5+ years of experience as a Data Engineer, with 3+ years working specifically with Azure Databricks and related Azure services.
Technical Proficiency:
- Strong hands-on experience with Apache Spark, Delta Lake, Python, SQL, and Scala.
- Experience with Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and other core Azure data services.
- Proficient in ETL/ELT design, data modeling, and big data technologies.
Professional Attributes:
- Excellent problem-solving, communication, and analytical skills.
- Demonstrated experience in Agile environments and implementing data governance and security best practices.
Preferred Qualifications:
- Certifications (one or more preferred):
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Databricks Certified Data Engineer
- Equivalent relevant experience or certifications
Clearance Requirements:
Ability to obtain or maintain any security clearances required.
Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!
Our Profile:
We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More.
NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
#NAI #DICE
group id: 10243825
