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60 Databricks Jobs Hiring in Baltimore, MD

Stackruit Ltd.

Software Developer

Greenbelt, MD · On-site

$110K - $121K/yr

You're a great fit if you have: -2+ years of experience in software development and data modernization projects. -2+ years of experience using Java and/or Databricks for software development ...

Medisolv, Inc.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

Preferred Qualifications · Experience with Azure and/or AWS platforms using Snowflake, Databricks, Delta Lakes, Spark, Python and other related technologies. · Familiarity with healthcare data ...

Agile Defense

Data Scientist

Fort George G Meade, MD · On-site

$100 - $130/hr

Familiarity with cloud‑based data platforms such as Databricks, Palantir, or AWS‑native data services is highly preferred. Location: Remote | Falls Church, VA | Arlington, VA | DC Metro Clearance:

eSimplicity

Test Automation Engineer III

Columbia, MD · On-site

$97K - $98K/yr

Perform comprehensive backend data and ETL validation across big-data platforms such as Databricks, Snowflake, PostgreSQL, and similar technologies. * Analyze, interpret, and validate complex CMS ...

TeamWorx Security, LLC.

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies. * Develop ...

Proteam Solutions

Data Engineer

Hunt Valley, MD · On-site

$108K - $130K/yr

Hands on experience working as a Data Engineer on the Databricks Platform * 2+ years of experience architecting data/database solutions and designing integrations * 3+ years of experience working ...

Deloitte

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies * Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ...

TeamWorx Security LLC

Senior Data Engineer

Columbia, MD · On-site

$135K - $165K/yr

Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies. * Develop ...

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 data from multiple sources, making it usable for analysts and data scientists across the org. * Data ...

SynergisticIT

Data analyst - Junior

Baltimore, MD

Snowflake, Databricks, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java /Full stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

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Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Advantech GS Enterprises, Inc.

Fort George G Meade, MD • On-site

$127K - $152K/yr

Contractor

Re-posted 26 days ago

Job description

Data Cloud Engineer Location: Fort Meade, MD (remote)
Company: Advantech GS Enterprises Program: DISA NEXUS
Clearance Required: Active Secret Clearance
Employment Type: Full-Time
Bonus: $1,000 Sign-On Bonus Position Overview Advantech GS Enterprises is seeking a highly skilled Data Cloud Engineer to support the DISA NEXUS program at Fort Meade. This role will focus on designing, building, and maintaining scalable cloud-based data solutions supporting enterprise modernization and mission-critical analytics within secure DoD environments. The ideal candidate will have strong experience developing production-grade data pipelines within Azure and/or AWS cloud environments, with expertise in PySpark, Spark SQL, Python, and modern data engineering best practices. This position offers the opportunity to contribute to a long-term federal modernization effort centered around multi-cloud integration, secure data architecture, and advanced analytics capabilities. Key Responsibilities
Design, develop, and maintain scalable cloud-based ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related technologies
Build and optimize large-scale data transformations using PySpark and Spark SQL, applying best practices for partitioning, query optimization, and performance tuning
Develop and support data ingestion frameworks for both structured data (relational tables, CSV files) and unstructured data (JSON, nested structures, REST API integrations)
Implement full and incremental data loading strategies, including change data capture (CDC), late-arriving record handling, and rerunnable pipelines
Design and maintain cloud-based data lakes, warehouses, and analytics-ready datasets supporting enterprise reporting and operational decision-making
Implement data quality and governance controls including schema validation, schema enforcement, schema drift handling, RBAC, lineage, cataloging, and credential management
Monitor and troubleshoot pipelines for latency, failures, logging, alerting, and operational reliability
Support CI/CD pipeline implementation for automated deployments, rollback strategies, and environment promotion processes
Collaborate with cybersecurity and cloud engineering teams to ensure compliance with RMF, STIG, FedRAMP, and DoD security standards
Utilize Oracle databases and cloud-native tools to support data migration, integration, and modernization initiatives
Support Agile development efforts and collaborate with DevOps and software engineering teams across the program lifecycle
Required Qualifications
Active Secret Clearance required
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical field
5+ years of recent experience designing and operating scalable, production-grade data pipelines using Azure Synapse Analytics and/or Databricks
Strong hands-on experience with PySpark and Spark SQL for large-scale transformations and optimization
Advanced proficiency in Python and SQL for data querying, automation, and analysis
Experience ingesting and integrating structured and unstructured datasets from databases, flat files, REST APIs, and external systems
Experience implementing full and incremental load strategies including CDC concepts and rerunnable pipeline architectures
Experience with data quality controls including schema validation, enforcement, and schema drift handling
Experience with pipeline monitoring, logging, alerting, and operational support
Experience implementing CI/CD pipelines and automated deployment processes
Knowledge of data governance and secure access management concepts including RBAC and credential management
Hands-on experience with Azure and/or AWS cloud data services such as Azure Synapse, Azure Data Factory, Databricks, AWS Glue, Redshift, and S3

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