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Senior Databricks Data Engineer Jobs in Maryland

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Work with Azure cloud and Databricks • Develop technical architectures and specific ...

Lead Data Engineer

Bethesda, MD · On-site

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Experience with Databricks or Azure ML Experience applying machine learning algorithms to solve ...

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

Data Engineer Location: Hanover, MD 21076 (Onsite with Hybrid - 2 Days Remote & 3- Days Onsite ... Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Data Engineer Location: Hanover, MD 21076 (Onsite with Hybrid - 2 Days Remote & 3- Days Onsite ... Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... Develop and optimize Spark based pipelines using databricks for large-scale data processing and ...

Data Engineer

Baltimore, MD · On-site

$125 - $150/hr

Our stack includes tools such as Databricks, dbt, Docker, Python, SQL, and PySpark. We primarily ... Partner closely with data scientists, ML engineers, and senior stakeholders to operationalize AI ...

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Our stack includes tools such as Databricks, dbt, Docker, Python, SQL, and PySpark. We primarily ... Partner closely with data scientists, ML engineers, and senior stakeholders to operationalize AI ...

Sr Data Engineer/Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Required : • Experience: 8+Years for Sr Data Engineer • Experience: 5+Years for Data Engineer • Candidate has to be local in DC, Maryland, Virginia area and be able to go to client office as ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Databricks Engineer

Adelphi, MD · On-site

$100 - $125/hr

Responsibilities Data & AI Platform Engineering (Databricks-Centric) * Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.

Data Engineer

Camp Springs, MD · On-site

$100 - $125/hr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Showing results 41-60

Senior Databricks Data Engineer information

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Maryland?

The most popular types of Databricks Data Engineer jobs in Maryland are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Maryland?

For Senior Databricks Data Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Maryland look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Senior Databricks Data Engineer jobs?

Cities in Maryland with the most Senior Databricks Data Engineer job openings:

Infographic showing various Senior Databricks Data Engineer job openings in Maryland as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Engineer | Emerging Products

Baltimore, MD • On-site, Remote

NinjaOne
Software Development • 201 - 500 employees

$105K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

About the Role

At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. This is an exciting opportunity to work on greenfield infrastructure using a cutting-edge stack — Kafka, Spark, Iceberg, and Databricks — collaborate with cross-functional teams, and help shape how we harness data to power our next generation of products.

Location — We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline design will set you up for success.

What You'll Be Doing

  • Lakehouse Architecture: Design and implement Medallion-layer data architectures (Bronze, Silver, Gold), building structured ingestion pipelines and curated data layers that serve downstream analytics and data science workloads.
  • Pipeline Development: Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform.
  • Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi — selecting the right format for the workload and maintaining performance and reliability at scale.
  • Query Engine Optimization: Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers.
  • Platform Reliability: Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform.
  • Collaboration: Partner closely with data scientists, analysts, and product teams to understand data requirements and deliver platform solutions that enable data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 10+ years of experience in data engineering with a strong focus on data platform and distributed systems.
  • Hands-on experience building and managing lakehouse architectures, including Medallion (Bronze/Silver/Gold) layering patterns.
  • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for both streaming and batch pipeline development.
  • Proficiency in open table formats — Iceberg, Delta Lake, or Hudi — with the ability to evaluate trade-offs and select the right format for the workload.
  • Experience with Databricks for large-scale data processing and analytics workloads.
  • Strong proficiency in Python and SQL.
  • Experience that will make you a standout candidate:
    • Hands-on experience with Trino or Starburst for distributed query execution.
    • Familiarity with hybrid streaming/batch architectures and event-driven data systems.
    • Experience designing Gold-layer datasets optimized for business intelligence and self-serve analytics.

About Us

NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.