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Senior Data Engineering Jobs in Maryland (NOW HIRING)

NOVACES

Senior Data Scientist

Baltimore, MD · On-site

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

NOVACES

Senior Data Scientist

Baltimore, MD

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

Novaces LLC

Senior Data Scientist

Baltimore, MD · On-site

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... This role will leverage advanced analytics, data modeling, automation, and data engineering methods ...

TeamWorx Security LLC

Senior Data Engineer

Columbia, MD · On-site

$135K - $165K/yr

The Senior Data Engineer will work with technical teams, program leadership, and government ... The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering ...

TeamWorx Security, LLC.

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

The Senior Data Engineer will work with technical teams, program leadership, and government ... The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering ...

Parsons

Senior Data Scientist

Aberdeen, MD

This role provides professional scientific data engineering and data science, requiring the ... The Senior Data Scientist will focus on software coding, data interoperability, cloud technology ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineering jobs in Maryland?

The most popular types of Data Engineering jobs in Maryland are:

What are popular job titles related to Senior Data Engineering jobs in Maryland?

For Senior Data Engineering jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Maryland look for?

The top searched job categories for Senior Data Engineering jobs in Maryland are:

What cities in Maryland are hiring for Senior Data Engineering jobs?

Cities in Maryland with the most Senior Data Engineering job openings:

Senior Data Engineering jobs near you

Senior Data Scientist

Baltimore, MD • On-site

NOVACES
Business Management Consulting • 11 - 50 employees
Learn more about NOVACESexternal

Full-time

Re-posted 17 days ago

Job description

Note: This position is contingent on contract award.

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD.

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support SFLC business operations and logistics integration. This role will leverage advanced analytics, data modeling, automation, and data engineering methods to enhance data quality, accessibility, usability, and decision-making across the organization.

The successful candidate will support data integration and ETL activities, consolidate data from multiple logistics and business systems, automate data workflows, and help ensure timely, accurate, and consistent data availability for analytics and reporting. The role may involve working with data from transportation management systems, warehouse management systems, Coast Guard logistics systems, and other internal or external data sources.

Work may include collecting, cleaning, and preprocessing data; developing and implementing predictive and statistical models; supporting asset readiness forecasting, inventory management, and operational optimization; and designing dashboards and data visualizations that provide actionable insights to SFLC leadership and stakeholders.

This is a proposal-contingent position supporting anticipated work on site Baltimore, MD. Work may be performed through a mix of onsite and remote support from a CONUS location, subject to Government direction and approval.

Education: Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced degree preferred.
Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain, readiness, operations research, or business performance environments.
Certifications: Relevant data science, analytics, cloud, Agile, or project-related certifications helpful. Must be able to obtain a Tier 1 clearance.