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Data Engineer Jobs in Hanover, MD (NOW HIRING)

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer

Washington, DC · On-site

$129K - $156K/yr

The Data Engineer will develop automated pipelines for a variety of data types and datasets. Basic Qualifications: * Work with data to solve business problems, building and maintaining the ...

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

The Data Engineer works with moderate supervision across two equally weighted domains: (1) large-scale data pipeline development processing market events in a cloud environment, and (2) design and ...

Data Engineer

Washington, DC · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Position Summary ANSER is seeking a Data Engineer to design, build, and optimize enterprise-level data management systems to support Object-Based Intelligence (OBI) analytic processes and mission ...

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 ...

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 ...

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 ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

They are seeking a highly skilled and motivated Data Engineer to join their Data Architecture & Engineering team, responsible for designing and building scalable data pipelines that transform raw ...

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

Core4ce is seeking a Data Engineer to support DCO AI-enabled cyber security analytics at U.S. Cyber Command (USCC). The selected candidate will develop and maintain software systems and data ...

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Purpose and Scope: eSimplicity is seeking a skilled and motivated Data Engineer to support a federal financial regulatory agency's enterprise data engineering program. In this role, you will design ...

New

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

To learn more about our exciting organization, please visit us at We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of Homeland Security (DHS ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data Engineer (2+ years - Senior Level) Locations: Arlington / Pentagon, VA, Reston, VA and areas throughout the DMV area ONSITE: Ability to go ONSITE 3-5 days per week Clearance: MUST have an Active ...

New

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 ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of Homeland Security (DHS), Immigration and Customs Enforcement (ICE), Law Enforcement Systems and ...

Data Engineer

Fort George G Meade, MD · On-site

$135K - $190K/yr

Core4ce is seeking a Data Engineer to support DCO AI-enabled cyber security analytics at U.S. Cyber Command (USCC). The selected candidate will develop and maintain software systems and data ...

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Purpose and Scope: eSimplicity is seeking a skilled and motivated Data Engineer to support a federal financial regulatory agency's enterprise data engineering program. In this role, you will design ...

New

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Purpose and Scope: eSimplicity is seeking a skilled and motivated Data Engineer to support a federal financial regulatory agency's enterprise data engineering program. In this role, you will design ...

New

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data Engineer (2+ years - Senior Level) Locations: Arlington / Pentagon, VA, Reston, VA and areas throughout the DMV area ONSITE: Ability to go ONSITE 3-5 days per week Clearance: MUST have an Active ...

New

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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 Jul 16, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 job categories do people searching Data Engineer jobs in Hanover, MD look for? The top searched job categories for Data Engineer jobs in Hanover, MD 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

$93K - $176K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
The work:
  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs.
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem.
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.

Here's what you need:
  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
  • Experience with Python, SQL, Spark, and PySpark
  • Experience with data platforms like Databricks, Palantir, and Snowflake
  • Familiarity with data orchestration and data quality processes
  • Must be a US Citizen

Bonus points if you have:
  • Secret clearance or above
  • Experience working with federal clients
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
  • Experience with Agile / Scrum
  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$93,400-$176,200 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If youare being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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