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Data Engineer Jobs in Hanover, MD (NOW HIRING)

Applied Information Sciences

Data Engineer

Washington, DC · Hybrid

$110K - $166K/yr

For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer. * Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ...

Anivas Tech LLC

Data Engineer

Upper Marlboro, MD · On-site

$113K - $136K/yr

Anivas Tech is seeking a Data Engineer to support our government agency IT operations. We are looking for a skilled professional with 7+ years of relevant experience who brings strong technical ...

BigBear.ai

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government ...

INDEX ANALYTICS LLC

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government ...

Index Analytics

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Gigatec Engineering

Data Engineer

Annapolis, MD · On-site

$113K - $136K/yr

What You'll Be Doing (We don't love the bullet points, but we love the work!) In this Data focused Software Engineering role, you'll orchestrate complex operational data flows including data storage ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our ...

Keystone

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and develop reusable frameworks to support data-intensive projects across the firm.

CGI Inc.

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Data Engineer Category: Database Administration Main location: United States, Maryland, Baltimore Position ID:J0826-0271 Employment Type: Full Time U.S. - CGI Federal roles - What we do matters By ...

GIGATEC Engineering

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

What You'll Be Doing (We don't love the bullet points, but we love the work!) In this Data focused Software Engineering role, you'll orchestrate complex operational data flows including data storage ...

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All JobsData Engineer JobsData Engineer Jobs in Hanover, MD

Data Engineer information

See Hanover, MD salary details

$44.3K

$129.1K

$176.6K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Hanover, MD is $129,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 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 are the most commonly searched types of Data Engineer jobs in Hanover, MD? The most popular types of Data Engineer jobs in Hanover, MD are:
What are popular job titles related to Data Engineer jobs in Hanover, MD? For Data Engineer jobs in Hanover, MD, the most frequently searched job titles are:
What cities near Hanover, MD are hiring for Data Engineer jobs? Cities near Hanover, MD with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hanover, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,067 per year, or $62.1 per hour.

Data Engineer

Applied Information Sciences

Washington, DC • Hybrid

$110K - $166K/yr

Full-time

Re-posted 20 hours ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Analytics Engineer.

  • Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines.

  • Work & Complexity: Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.

  • Quality & Independence: Sets benchmarks for data quality; drives continuous improvement; makes significant technical decisions with minimal oversight.

  • Teamwork & Communication: Leads cross-functional work; mentors engineers; communicates complex insights to senior leaders; integrates multi-stakeholder feedback.

  • Consulting & Engagement: Provides strategic consultation, leads client interactions, and advances consulting best practices.

As your initial project assignment, you will support the unique needs of our client as a Data Engineer. Project Summary

AIS is seeking a Data Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities

  • Develop and deploy software into production in government environments.

  • Set up data validation steps.

  • Establish and maintain schemas.

Required For This Opportunity

  • Bachelor's Degree in Computer Science (or closely related degree).

  • At least 5+ years of experience in Data Engineering.

  • Must have experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark.

  • Must have a strong Python background.

  • Must have strong experience working with messy data, disparate data sources, establishing and maintaining schemas, and setting up data validation steps.

  • Must be comfortable working with large data workflows (100GB+).

  • Must have an Active Secret Clearance.

Nice to Have Skills

  • A related certification is preferred but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $110,000-$166,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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