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Trainee Data Engineer Python Jobs in Washington, DC

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate ...

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Required : • 7+ years of experience in software engineering in Python and SQL • 7+ years of experience designing, developing, operationalizing, and maintaining complex data science applications ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

They are seeking Data Engineers to support the design and development of scalable data platforms ... using SQL, Python, and Spark to ingest, transform, and curate datasets • Collaborate with ...

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Data Engineer Herndon, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact ... Python Desired Qualifications: * Security Development and Operations (SecDevOps) * Hands on Splunk ...

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Overview Data Engineer Herndon, VA TS/SCI with Poly At Bcore, our strength comes from how we ... Python Desired Qualifications: * Security Development and Operations (SecDevOps) * Hands on Splunk ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) * Strong understanding of data modeling concepts ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Experience with Python, SQL, Spark, and PySpark * Experience with data platforms like Databricks ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data ...

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Showing results 1-20

Trainee Data Engineer Python information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do trainee data engineer python jobs pay per year?

As of Jun 8, 2026, the average yearly pay for trainee data engineer python 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 the difference between Trainee Data Engineer Python vs Data Analyst?

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

What are the most commonly searched types of Data Engineer Python jobs in Washington, DC? The most popular types of Data Engineer Python jobs in Washington, DC are:
What are popular job titles related to Trainee Data Engineer Python jobs in Washington, DC? For Trainee Data Engineer Python jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Trainee Data Engineer Python jobs in Washington, DC look for? The top searched job categories for Trainee Data Engineer Python jobs in Washington, DC are:
Data Engineer

Data Engineer

Elder Research

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 25 days ago


Job description

Data Engineer
General Information
Requisition # 675
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.
Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.
Responsibilities include but are not limited to:
  • Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
  • Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
  • Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
  • Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
  • Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
  • Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
  • Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
  • Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:
  • 2-7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
  • Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
  • Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
  • Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
  • Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
  • Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
  • Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
  • Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
  • Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.