ZipRecruiter

Log In

1

Databricks Engineer Jobs in Maryland (NOW HIRING)

The Maven Group, LLC

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 ...

Accenture Federal Services

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 ...

The Maven Group, LLC

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 ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD ... Strong technical proficiency in Informatica and Databricks for orchestrating complex ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · Hybrid

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Saalex Corp.

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park,MD. Spalding ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD ... Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

... AI, Databricks, or equivalent environments. * Strong analytical, problem-solving, and ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Parsons

AI/ML Engineer

Aberdeen, MD

... AI, Databricks, or equivalent environments. * Strong analytical, problem-solving, and ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

standvast

Senior Data Engineer

Columbia, MD · On-site

$105K - $142K/yr

We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI ... You will be a member of our small data engineering team. This is a hands-on, build-oriented ...

previous page

Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Maryland

Databricks Engineer information

See Maryland salary details

$57.7K

$108.3K

$197K

How much do databricks engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for databricks engineer in Maryland is $108,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,600.00 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 Maryland?

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

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

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

What cities in Maryland are hiring for Databricks Engineer jobs?

Cities in Maryland with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Maryland as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,343 per year, or $52.1 per hour.

Data Engineer

Suitland, MD • On-site

The Maven Group, LLC
See more jobs at The Maven Group, LLCexternal

$123K - $148K/yr

Full-time

Posted 5 days ago

Job description

Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:

  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.

Qualifications:

  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to data engineering.
  • Any additional experience with any of the following:
    • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
    • Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
    • Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
    • Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
    • Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
    • Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
    • Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.

Preferred Skills:

  • Experience working with large-scale distributed systems.
  • Knowledge of data governance and security best practices.
  • Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.

Clearance:

  • An active TS/SCI federal security clearance is required

Apply