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Databricks Data Engineer Jobs in Baltimore, MD (NOW HIRING)

eSimplicity

Senior Data Engineer

Columbia, MD · On-site

$132K - $151K/yr

Experience building job workflows on Databricks or comparable platforms * Familiarity with workflow ... Experience supporting AI/ML feature engineering and feature stores * AWS Data Analytics or AWS ...

Pwc

Data Engineer - Senior Associate

Baltimore, MD

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

eSimplicity

Data Engineer III

Columbia, MD · On-site

$113K - $127K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Spectrum, Databricks, AWS EMR, SageMaker, etc.; * Implements, with support of project data ...

eSimplicity

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark). * Strong skills in exploratory data analysis, feature engineering, and data modeling ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark). * Strong skills in exploratory data analysis, feature engineering, and data modeling ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark). * Strong skills in exploratory data analysis, feature engineering, and data modeling ...

BravoTech

Application & Data Engineering (US Support)

MD · On-site +1

Application & Data Engineer- Snowflake/ Azure 6- month initial contract 100% remote We are hiring ... Databricks, Matillion, Informatica, Talend, or other ETL/data engineering tools - Experience with ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark). * Strong skills in exploratory data analysis, feature engineering, and data modeling ...

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Showing results 1-20

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Baltimore, MD

Databricks Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do databricks data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks data engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Baltimore, MD? The most popular types of Databricks Data Engineer jobs in Baltimore, MD are:
What are popular job titles related to Databricks Data Engineer jobs in Baltimore, MD? For Databricks Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Databricks Data Engineer jobs in Baltimore, MD are:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.
Security Data Analytics Engineer TS/SCI

Security Data Analytics Engineer TS/SCI

Aperio Global

Fort George G Meade, MD

$270K/yr

Other

Posted 6 days ago

Job description

We are seeking an advanced Security Data Analytics Engineer to build, optimize, and operate the data layer powering a cryptographic discovery and quantum-vulnerability detection platform. This role demands deep expertise in large-scale data pipeline engineering, custom detection algorithm development, and security analytics at scale. The right candidate combines the rigor of a data engineer with the instincts of a security analyst, and can turn raw cryptographic telemetry into actionable operational intelligence.

   Design, build, and optimize high-throughput data ingestion pipelines using Apache Kafka for real-time telemetry streaming.
   Develop large-scale transformation and enrichment workflows on Databricks / Apache Spark; ensure pipeline reliability, observability, and performance at enterprise scale.
   Maintain data quality, schema governance, and lineage documentation across all pipeline stages
   Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols - including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites.
   Develop detection logic for quantum-vulnerable algorithms (e.g., RSA, ECC) across enterprise network traffic and cryptographic inventories.
   Continuously tune detection models based on operational feedback, false positive rates, and evolving threat intelligence.
   Partner directly with DoW threat hunters to translate raw cryptographic discovery data into structured, analyst-ready datasets.
   Build and maintain interactive dashboards (Tableau, Grafana) for executive reporting on cryptographic posture and quantum-vulnerability exposure.
   Develop and document analytic methodologies; produce findings briefs and technical reports for government stakeholders.


REQUIRED: 
   Active TS/SCI clearance (no exceptions).
   5+ years of data engineering or security analytics experience, including production-grade pipeline development.
   Advanced proficiency in SQL and Python - including pandas, PySpark, and data manipulation at scale.
   Hands-on experience with Databricks and/or Apache Spark for large-scale data transformation.
   Working knowledge of Apache Kafka for real-time streaming ingestion.
   Deep familiarity with security log formats, cryptographic protocols (TLS, SSH, PKI), and network telemetry.

NICE TO HAVE: 
   Experience building cryptographic discovery or PKI inventory tooling.
   Familiarity with post-quantum cryptography (PQC) standards (NIST SP 800-208 / FIPS 203/204/205) and quantum-vulnerable algorithm identification.
   Experience developing dashboards in Tableau and/or Grafana for executive-level consumption.
   Background in threat hunting, SIEM engineering, or security operations analytics.
   Databricks Certified Associate Developer for Apache Spark or equivalent certification.

Salary Range: $220 - 270K

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