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Databricks Developer Jobs in Maryland (NOW HIRING)

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · Hybrid

$90K - $125K/yr

... Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

... Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

... Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

... Databricks Certified Machine Learning Associate * AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional * Experience working in client-facing or consulting ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

... Databricks Certified Machine Learning Associate * AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional * Experience working in client-facing or consulting ...

Deloitte

Lead Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Lead complex data and artificial intelligence programs across the Databricks platform, serving as a ...

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Databricks Ecosystem * Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems

BravoTech

Platform Engineering & DevOps

MD · On-site +1

$50.25 - $68.75/hr

Hands-on DevOps experience supporting software deployments and release processes. * Experience ... Experience with Databricks, Azure Data Factory, or ETL platforms. * Experience supporting web ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for databricks developer in Maryland is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $66.01 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

What are the key skills and qualifications needed to thrive in the Databricks developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What is the salary of a Databricks developer?

The salary of a Databricks developer 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, or data engineering may earn higher compensation.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
What are the most commonly searched types of Databricks Developer jobs in Maryland? The most popular types of Databricks Developer jobs in Maryland are:
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What job categories do people searching Databricks Developer jobs in Maryland look for? The top searched job categories for Databricks Developer jobs in Maryland are:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Maryland as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $124,133 per year, or $59.7 per hour.

Senior Data Quality Engineer / QA Automation Engineer with (Databricks, PySpark & AI/ML)

Socket.dev

Adelphi, MD • On-site

$140 - $190/hr

Other

Posted yesterday

New

Job description

Business Technology Integrators (BTI) is a Service‑Disabled Veteran‑Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative IT solutions to the Federal Government. We are committed to excellence, innovation, and supporting mission‑critical programs that serve our nation.

Role Summary:

We are seeking a highly skilled and self‑directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.

Key Responsibilities:
  • Architect and implement robust automated testing frameworks leveraging PySpark and Databricks‑native tools for data validation across Raw, Curated, and Mart layers.
  • Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.
  • Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.
  • Design metadata‑driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.
  • Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.
  • Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.
  • Own the end‑to‑end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign‑off criteria are met.
  • Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.
  • Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.
  • Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.
  • Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback.
  • Drive defect triage, resolution, and retesting, ensuring readiness for production release.
  • Work within a SAFe Agile framework, participating in PI planning, sprint ceremonies, and cross‑team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines.
  • Provide regular updates to project and senior management on progress of QA milestones and tasks.
Required Skills & Expertise:
  • Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.
  • Proficient in creating testing framework for validating Data Quality.
  • Proficient in Databricks notebook, PySpark, Python, SQL, and data quality testing.
  • Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.
  • Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.
  • Strong knowledge of data governance (data lineage, audit trails, compliance testing).
  • Excellent problem‑solving skills with the ability to work in a fast‑paced environment.
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.
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