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New Grad Data Engineer Jobs in Washington, DC (NOW HIRING)

ExpediteInfoTech, Inc.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer Client: MD State Reference# 71 Number of Positions: Multiple Location: Primary place ... Continuously improve pipelines and adopt new technologies where appropriate. Education: This ...

Bigbear.ai

Data Engineer

Washington, DC

$93K - $150K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data ... This is an opportunity to get in on the "ground level" of a new and exciting program with a ...

Nwis

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

Data Engineer Location:Sterling, VA Clearance:TS/SCI Poly **This position is CONTINGENT upon ... environment to new technology * Recommend and plan server/ cloud compute/storage resource ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

BigBear.ai

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data ... This is an opportunity to get in on the "ground level" of a new and exciting program with a ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$150K - $200K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$93K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data ... This is an opportunity to get in on the "ground level" of a new and exciting program with a ...

MANTECH

Data Engineer

Chantilly, VA

$117K - $140K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Developing custom solutions or code to ingest and exploit new and existing data sources.

Software Guidance & Assistance

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD, Tysons, VA, or New York, NY or ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Management is hands off, gives the team the freedom to explore new approaches, and markets the best ... This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$150K - $200K/yr

We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland

THOMSON REUTERS

Data Engineer

Mclean, VA · Hybrid

$115K - $139K/yr

The role will also have acustomer facingcomponent, involving direct implementation and support of existing or new applications at customer locations. As the Data Engineer, you will also contribute to ...

Venture Global, Inc.

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

Data Engineer Located: Arlington Summary The Data Engineer is responsible for developing, designing ... This new position will be based in our Arlington, VA headquarters and report to the Director of ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland

Accenture LLP

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland

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Showing results 21-40

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Washington, DC

New Grad Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do new grad data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for new grad data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

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

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Washington, DC?

For New Grad Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Washington, DC look for?

The top searched job categories for New Grad Data Engineer jobs in Washington, DC are:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

ExpediteInfoTech, Inc.

Rockville, MD • On-site

$116K - $140K/yr

Other

Posted 4 days ago

Job description

Role: Data Engineer
Client: MD State
Reference# 71
Number of Positions: Multiple
Location: Primary place of performance is HYBRID with 40% onsite requirement in Baltimore City, MD. One week per month onsite is required. On-site attendance may also be required during system rollout activities in addition to the monthly requirement. May require travel to other offices in the Baltimore area as needed.
About the Role: The client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows - ensuring data is high-quality, compliant, and analytics-ready. This role may support multiple projects as needed.
Position Description: Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:
A. Design, develop, and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process, and store structured and unstructured data
B. Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting
C. Develop data reliability, efficiency, and quality checks and processes
D. Prepare data for data modeling
E. Monitor and optimize data architecture and data processing systems
F. Collaboration with multiple teams to understand requirements and objectives
G. Administer testing and troubleshooting related to performance, reliability, and scalability
H. Create and update documentation
Role and Responsibilities:
Hands-On Data Pipeline Development
  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.
  • EDW & Data Lake Implementation
  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.
  • Healthcare Data Integration
  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.
  • Data Quality, Security & Compliance
  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIP nd CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.
  • Collaboration & Delivery
  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.

Education: This position requires a bachelor's or master's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor's degree.
General Experience: The proposed candidate must have a minimum of three (3) years of experience as a data engineer.
Specialized experience: The candidate should have experience as a data engineer or in a similar role, with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable about distributed computing and parallel processing.
  • 3+ years of hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Jav plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIP nd CMS interoperability requirements.

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