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Contract Databricks Data Engineer Jobs in Baltimore, MD

Familiarity with distributed computing tools like Spark, Databricks, and Kafka. * Experience with ... contract labor categories, relevant prior work experience, specific skills, education and ...

Palantir Foundry Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Data Engineer

Ashton, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Bowie, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Laurel, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... as well as contract-specific affordability and organizational requirements. The projected ...

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... We specialize in contract, contract-to-hire, and direct placement positions. We are an equal ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Showing results 41-60

Contract Databricks Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do contract databricks data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for contract 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 contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

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 Contract Databricks Data Engineer jobs in Baltimore, MD?

For Contract Databricks Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Baltimore, MD look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Contract Databricks Data Engineer jobs?

Cities near Baltimore, MD with the most Contract Databricks Data Engineer job openings:

Cleared Hybrid Data Engineer (5418)

SMX

Hanover, MD • On-site, Remote

$103K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI Engineers, and Software Engineers to transform raw, unstructured data into high-quality, accessible data pipelines. Optimizing data systems, building them from the ground up, and ensuring peak data reliability and performance. This role is essential for making data accessible, reliable, and usable across the enterprise.
Essential Duties and Responsibilities
  • Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
  • Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.
  • Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.
  • Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
  • Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.
  • Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering
  • 4+ years of progressive professional experience in a data engineering or backend software engineering role
  • Security clearance required (Secret or higher)
  • Strong proficiency in Python, SQL, Java.
  • Experience with cloud data warehouses such as Snowflake and AWS Redshift.
  • Familiarity with distributed computing tools like Spark, Databricks, and Kafka.
  • Experience with Azure Data Factory, AWS Glue, or similar data integration platforms.
  • Experience with workflow management tools like Apache Airflow.
  • Hands-on experience with AWS, GCP, or Azure cloud environments. Familiarity with multi-cloud data ecosystem patterns.
  • Experience integrating structured and unstructured data sources. Knowledge of schema design, data modeling, and cloud-based storage patterns.

Desired Skills & Experience
  • Experience supporting AI/ML pipelines, vectorization, or embedding generation
  • Experience with data governance, access controls, or sensitive data protection
  • Exposure to DevOps/CI-CD patterns for data workflows
  • MuleSoft implementation experience
  • Experience with real-time data streaming and event-driven architectures

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$103,000-$171,800 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

SMX logo

About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US