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Contract Databricks Data Engineer Jobs in Maryland

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and ... Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering production solutions in an enterprise Databricks environment, and familiarity with Google Cloud ...

Senior Data Engineer

Columbia, MD · On-site

$135K - $165K/yr

The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering production solutions in an enterprise Databricks environment, and familiarity with Google Cloud ...

Hybrid Data Engineer

Hanover, MD · On-site

$110 - $140/hr

Familiarity with distributed computing tools like Spark, Databricks, and Kafka. * Experience with ... Data Engineering * Backend Software Engineering * Data Modeling * Schema Design * Data Quality ...

New

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... Develop and optimize Spark based pipelines using databricks for large-scale data processing and ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · On-site

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... and Databricks • Develop technical architectures and specific implementations to meet business needs. • Guide the team's software engineering best practices by documenting standards and ...

Lead Data Engineer

Bethesda, MD

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Experience with Databricks or Azure ML Experience applying machine learning algorithms to solve ...

Showing results 41-60

Contract Databricks Data Engineer information

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 Maryland?

The most popular types of Databricks Data Engineer jobs in Maryland are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Maryland?

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

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

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

What cities in Maryland are hiring for Contract Databricks Data Engineer jobs?

Cities in Maryland with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Maryland as of July 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Data Engineer Lead

Analytica

Bethesda, MD • On-site

$109K - $144K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago


Job description

Analytica is seeking a hands-on Technical Lead - Data Engineering to support the design, development, and delivery of modern data and analytics solutions in a cloud-based environment. This role is best suited for a senior engineer who has grown into a leadership role and enjoys mentoring teams while remaining deeply involved in technical execution.
This role follows a hybrid schedule; candidates should be located in the DMV area to support in-person collaboration as needed.
The Technical Lead will be contributor who can lead by example-guiding engineers, coordinating technical delivery, and helping teams solve complex engineering challenges. The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments.
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Key Responsibilities:
  • Lead day-to-day technical execution for engineering teams delivering data and analytics solutions
  • Serve as a senior hands-on engineer contributing to solution design, development, troubleshooting, and optimization
  • Guide and mentor engineers through technical leadership, collaboration, and code review
  • Support development and maintenance of scalable data pipelines, integrations, and processing frameworks within Databricks and AWS
  • Collaborate with architects and program leadership to implement technical solutions aligned with project objectives
  • Help break down requirements into actionable development tasks and support sprint execution
  • Partner with application engineers, QA/test teams, and business analysts to ensure successful delivery
  • Promote engineering best practices around performance, maintainability, testing, and operational support
  • Assist with production support, root cause analysis, and continuous improvement efforts
  • Contribute to Agile delivery activities including backlog refinement, sprint planning, and technical estimation

Required Qualifications:
  • U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master's degree in a plus.
  • 8+ years of experience building and maintaining ETL/ELT pipelines and large-scale data processing solutions
  • Hands-on expertise with Databricks and modern data engineering frameworks
  • Experience working within AWS cloud environments
  • Strong proficiency in Python and/or Spark-based data processing
  • Familiarity with CI/CD pipelines, Git-based workflows, and Agile development practices
  • Strong troubleshooting, collaboration, and communication skills
  • Ability to lead technical efforts while remaining hands-on in delivery
  • Certification in one or more
  • Databricks Certified Data Engineer Associate and/or Databricks Certified Machine Learning Associate
  • AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional
  • Experience working in client-facing or consulting environments
  • Strong communication skills with the ability to bridge technical and non-technical stakeholders
  • Familiarity with Agile/Scrum methodologies and tools

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.