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Databricks Engineer Jobs in Elkridge, MD (NOW HIRING)

Analytica

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Elkridge, MD

Databricks Engineer information

See Elkridge, MD salary details

$58.8K

$110.3K

$200.5K

How much do databricks engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks engineer in Elkridge, MD is $110,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $130,900.00 per year, depending on experience, location, and employer.

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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Elkridge, MD?

For Databricks Engineer jobs in Elkridge, MD, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Elkridge, MD look for?

The top searched job categories for Databricks Engineer jobs in Elkridge, MD are:

What cities near Elkridge, MD are hiring for Databricks Engineer jobs?

Cities near Elkridge, MD with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Elkridge, MD as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,251 per year, or $53 per hour.

Lead Databricks Integration Architect

SmartIPlace

Washington, DC • On-site

$62.50 - $85.75/hr

Contractor

Re-posted 17 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Lead Databricks Integration Architect
Location: Washington, DC

Requirement:
Lead Solutions Architect specializing in Databricks and Application Integration on behalf of our client in Washington, D.C.
This practitioner-level leader will create and execute the technical blueprints that link the enterprise Databricks platform directly to downstream operational applications, microservices, business intelligence tools, and external APIs.
Acting as a hands-on mentor and technical authority, this architect will build reusable platform libraries, lead engineering code reviews, and optimize real-time streaming data pipelines.
This position operates under a SAFe (Scaled Agile) framework with a hybrid schedule, requiring on-site attendance for critical ceremonies like PI planning in Washington, D.C.
Key Responsibilities
Hands-on Integration Blueprinting: Design, document, and actively build end-to-end integration patterns utilizing Databricks Delta Live Tables (DLT), structured streaming, and core APIs to connect data with enterprise software.
Framework & Code Library Development:
Partner with Core Platform and Cloud Infrastructure teams to write reusable platform libraries and abstraction layers that speed up development cycles.
Data Quality Mechanics:
Architect and enforce technical data quality frameworks, including automated DLT "Expectations" templates and granular data lineage tracking.
Mentorship & Code Reviews:
Lead architectural review boards, oversee peer code/design reviews, and provide direct technical mentorship to mid-and-senior data engineers.
Performance Tuning (FinOps): 
Implement technical optimization strategies (Z-Ordering, Liquid Partitioning, Photon compute) to balance data throughput with cloud processing costs.

CI/CD Lifecycle Governance:
Design and govern multi-tier code deployment strategies (Dev, Test, Stage, Prod) for Databricks assets and automated Infrastructure as Code (IaC).
Required Qualifications
Professional Experience:

  • 8+ years of experience in IT solution architecture, application design, or senior-level data engineering, with a history of building integrated cloud data ecosystems.
  • Hands-on Databricks & Language Mastery: Authoritative, hands-on engineering experience using the Databricks platform, PySpark, SQL, and core Delta Lake concepts.
  • Advanced DLT & Streaming Expertise: Deep technical proficiency building and blueprinting complex Delta Live Tables (DLT) architectures and real-time structured streaming solutions.
  • Enterprise Data Modeling: Expert-level understanding of designing relational, dimensional, and Medallion (Bronze/Silver/Gold) configurations optimized for multi-application consumption.
  • Automation & CI/CD Architecture: Strong experience designing enterprise deployment strategies and automated infrastructure provisioning using Git, Azure DevOps, GitHub Actions, or Terraform.
  • Collaborative Leadership: Exceptional capability to lead technical squads, drive consensus across engineering teams, and clearly explain technical roadmaps to non-technical stakeholders.
  • Agile Integration: Ability to thrive in a SAFe (Scaled Agile) environment, including full commitment to iteration planning and on-site PI planning in Washington, D.C.
 
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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