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Data Engineer Data Jobs in Crofton, MD (NOW HIRING)

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

They are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives by designing, building, optimizing, and maintaining data ...

Central Intelligence Agency

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Transportation Reimbursement Account (TRN) We are seeking a Data Engineer to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you ...

Cushman & Wakefield

Data Engineer

Washington, DC

$129K - $155K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Washington, DC

$129K - $155K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Medisolv, Inc.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of ...

Syndicus, Inc.

Data Engineer

Columbia, MD

$170K/yr

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical and mission-support data sets into a big data environment. The ideal candidate will have a background ...

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Showing results 1-20

All JobsData Engineer Data JobsData Engineer Data Jobs in Crofton, MD

Data Engineer Data information

See Crofton, MD salary details

$46.5K

$166.9K

$246.3K

How much do data engineer data jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer data in Crofton, MD is $166,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $171,900.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Crofton, MD? For Data Engineer Data jobs in Crofton, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Crofton, MD look for? The top searched job categories for Data Engineer Data jobs in Crofton, MD are:
What cities near Crofton, MD are hiring for Data Engineer Data jobs? Cities near Crofton, MD with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in Crofton, MD as of June 2026, with employment types broken down into 2% As Needed, 90% Full Time, 3% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $166,885 per year, or $80.2 per hour.
Data Engineer (Data Architecture & Engineering)

Data Engineer (Data Architecture & Engineering)

Elite Technical

Washington, DC • On-site

$129K - $155K/yr

Other

Posted 8 days ago

Job description

Data Engineer (Data Architecture & Engineering)

As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions. Essential Duties and Responsibilities:

  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Develop and design data pipelines to support an end-to-end solution.
  • Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
  • Integrate data pipelines with AWS cloud services to extract meaningful insights.
  • Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
  • Design and develop robust and functional dataflows to support raw data and expected data.
  • Provide Tier 3 technical support for deployed applications and dataflows.
  • Define and communicate a clear product vision for our client-s software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Partner with a government product owner and a product team of 7-8 FTEs.
  • Collaborate with the rest of data engineering team to design and launch new features.
  • Coordinate and document dataflows, capabilities, etc.-
<>Requirements

  • Active TS/SCI clearance
  • Bachelor-s degree or equivalent practical experience.
  • Expertise in distributed computing frameworks to handle large-scale data processing.
  • Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
  • Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
  • Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
  • Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
  • Familiar with Linux/Unix server environments.
  • Experience with Agile development methodology.
  • Publishing and/or presenting design reports.
  • Coordinating with other team members to reach project milestones and deadlines.
  • Working knowledge with Collaboration tools, such as, Jira and Confluence

Desired Qualifications, Education, and Experience:
  • Master-s degree or equivalent experience in a related field.
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
  • Familiarity and experience with the Department of Homeland Security (DHS).
  • Direct Experience with DHS and Intelligence Community (IC) component''s data architectures and environments (IC-GovCloud experience preferred).
  • Experience with cloud message APIs and usage of push notifications.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
  • Working knowledge with public keys and digital certificates.
  • Experience with DevOps environments.
  • Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
  • Experience with cloud message APIs and usage of push notifications.
  • Specialization in Object Oriented Programming languages, scripting, and databases.

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