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Databricks Engineer Jobs in Cambridge, MD (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Seaford, DE · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Cambridge, MD

Databricks Engineer information

See Cambridge, MD salary details

$55.9K

$104.9K

$190.8K

How much do databricks engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for databricks engineer in Cambridge, MD is $104,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $124,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Cambridge, MD? For Databricks Engineer jobs in Cambridge, MD, the most frequently searched job titles are:
What cities near Cambridge, MD are hiring for Databricks Engineer jobs? Cities near Cambridge, MD with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Cambridge, MD as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $104,904 per year, or $50.4 per hour.
Operational Technology Data Engineer

Operational Technology Data Engineer

Perdue Farms

Salisbury, MD • On-site

$113K - $135K/yr

Full-time

Posted 16 days ago

Perdue Farms rating

6.3

Company rating: 6.3 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

308th of 432 rated food and drinks producers

Job description

Job Summary:
Perdue AgriBusiness is an international agricultural products and services company that is part of Perdue Farms, a family-owned food and agricultural business. They are seeking an Operational Technology Data Engineer to modernize industrial data capture and transform it into actionable insights by building scalable data pipelines and partnering with cross-functional teams to enhance operational performance.
Responsibilities:
• Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition).
• Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems.
• Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization.
• Design and implement secure, scalable OT data pipelines following OT IT segmentation standards.
• Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines.
• Ensure reliable, governed, one way movement of OT data to cloud environments.
• Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements.
• Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning.
• Implement repeatable data onboarding frameworks to support multi-site expansion.
• Apply enterprise naming conventions, metadata standards, and data validation rules.
• Monitor pipeline health, latency, schema changes, and historian system integrity.
• Follow cybersecurity standards for OT—ensuring read only access, one-way pathways, and adherence to network segmentation policies.
• Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams.
• Participate in design reviews, architecture discussions, and continuous improvement initiatives.
• Translate plant floor needs into scalable enterprise data solutions.
Qualifications:
Required:
• Bachelor’s Degree in Engineering, Computer Science, IT, Data Engineering, or related field—or equivalent experience.
• 4+ years of experience with OT systems, industrial data, or data engineering.
• Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition).
• Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks.
• Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments.
• Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling.
• Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures.
• Knowledge of ISA 95, IEC 62443, or OT risk management frameworks.
Preferred:
• Experience building or supporting enterprise OT to cloud data architectures.
• Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms.
• Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration.
• Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations.
Company:
Perdue Farms is dedicated to enhancing the quality of life for everyone we touch through innovative food and agricultural products Founded in 1920, the company is headquartered in Salisbury, USA, with a team of 10001+ employees. The company is currently Late Stage.

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