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Data Engineer Jobs in Huntingtown, MD (NOW HIRING)

Saalex

Data Engineer/ETL Developer

Lexington Park, MD · Hybrid

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the ...

Sabre Systems, LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Ignite IT

Data Engineering Lead

Suitland, MD

The Data Engineering Lead will ensure data integrity, performance, and visibility across a system-of-systems modernization initiative, while providing technical leadership for data modeling ...

Ignite IT

Data Engineering Lead

Suitland, MD · On-site

The Data Engineering Lead will ensure data integrity, performance, and visibility across a system-of-systems modernization initiative, while providing technical leadership for data modeling ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

B&A

Lead Data Architect

Suitland, MD

Support data engineering and integration , including data pipelines, integration patterns, and Interface Control Documents * Support data quality, data lineage, and data governance activities across ...

Bart & Associates

Lead Data Architect

Suitland, MD · On-site

Support data engineering and integration , including data pipelines, integration patterns, and Interface Control Documents * Support data quality, data lineage, and data governance activities across ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Huntingtown, MD

Data Engineer information

See Huntingtown, MD salary details

$45.5K

$132.6K

$181.4K

How much do data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer in Huntingtown, MD is $132,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Huntingtown, MD are hiring for Data Engineer jobs? Cities near Huntingtown, MD with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Huntingtown, MD as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,582 per year, or $63.7 per hour.

Data Engineer/ETL Developer

Saalex

Lexington Park, MD • Hybrid

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD.  Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of War. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services. 

Position Type: Full-time

Salary: $90k-$125k annually (depending upon experience)

Work Location: Hybrid remote/in-office (see onsite requirements below).

**Onsite Requirements: Position may require on-site work at PAX approximately 1 day per week for meetings, collaboration, and technical tasking.

Essential Functions:

  • Design, develop, and optimize data pipelines, ETL mappings, and data architectures within the Department of the Navy (DON) Jupiter enterprise data environment and the AWS Gov Cloud ecosystem.
  • Build and maintain scalable extraction, transformation in Informatica; and loading workflows using modern cloud-native data processing in Databricks.
  • Author, refine, and optimize advanced SQL and python scripts to support schema creation, data population, truncation, migration, and complex manipulation of tables, views, and materialized views.
  • Architect and deploy custom Application Programming Interfaces (APIs) to securely connect disparate data sources and streamline data ingestion pipelines.
  • Proactively identify, diagnose, and resolve technical issues, errors, and performance bottlenecks within the cloud data warehouse and associated ETL frameworks.
  • Perform comprehensive data collection, pattern analysis, validation testing, and quality troubleshooting across large, complex datasets.
  • Other duties as assigned.

Requirements

Required:

  • Proven experience applying modern data engineering methodologies, pipeline design patterns, and enterprise data architecture practices (with an emphasis on cloud-based frameworks).
  • Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise-level ETL/ELT pipelines.
  • Hands-on experience working with cloud-native storage, compute, and analytics services within AWS, alongside a proven track record of executing database migrations from legacy on-premises environments to AWS.
  • Mastery of SQL is required.
  • Strong proficiency in data analysis techniques and tooling, including MS Excel for rapid data manipulation and validation is required.
  • Strong working knowledge of RESTful API development, JSON data structures, and secure data exchange protocols is required.

Desired:

  • Proficiency in Python (for Databricks), JavaScript, and legacy Visual Basic (VB) is highly preferred to support legacy systems and custom automation.
  • Familiarity with TOAD for Oracle is preferred.
  • Direct experience supporting NAVAIR IT applications, programs, or projects within Navy-approved networks is highly desired.
  • Possession of an active CompTIA Security+ certification is preferred to satisfy DoD 8570/8140 compliance requirements for elevated privilege roles. May be required to obtain within 90 days upon onboarding.

Education:

  • BS/BA degree and 3 years related experience OR AA/AS degree and 7 years related experience OR HS and 9 years related experience.

Security Clearance:

  • Must be eligible to obtain a Secret clearance.  Active Secret clearance desired, interim Secret acceptable to start. Requirements to obtain a clearance include US Citizenship, security investigation, etc.  

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
  • Stock Option Benefit

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