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Senior Data Engineer Python Jobs in Washington, DC

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $164K/yr

Job Overview We are seeking a Senior Data Engineer to support our Federal Government Customer with ... This role spans front-end (React, JavaScript, HTML/CSS), back-end (Java, Spring Boot, Python ...

New

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop ... Key must have skill sets - Python, AWS * Support an Agile software development lifecycle * You will ...

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

... role of Senior Data Engineer . The candidate will be a member of a software development team ... Python * AWS * Experience with REST APIs Desired skills: * Iceberg * Presto/Trino/Spark

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

... role of Senior Data Engineer . The candidate will be a member of a software development team ... Python * AWS * Experience with REST APIs Desired skills: * Iceberg * Presto/Trino/Spark

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

... role of Senior Data Engineer . The candidate will be a member of a software development team ... Python * AWS * Experience with REST APIs Desired skills: * Iceberg * Presto/Trino/Spark

Responsibilities Senior Data Engineer sought by Eagle Bancorp, Inc. d/b/a Eaglebank in Bethesda, MD ... Python, SQL, Snowflake * AWS (EMR, Lambda, S3, RDS) * CI/CD pipelines in Gitlab * Manage and ...

Responsibilities Senior Data Engineer sought by Eagle Bancorp, Inc. d/b/a Eaglebank in Bethesda, MD ... Python, SQL, Snowflake * AWS (EMR, Lambda, S3, RDS) * CI/CD pipelines in Gitlab * Manage and ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

MDAEdge is a company seeking a Senior Data Engineer to work on-site in Washington, DC. The role ... and Python (PySpark) • Leading advanced technology or service projects • Full system ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort ... Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, and Delta Lake

Showing results 41-60

Senior Data Engineer Python information

See Washington, DC salary details

$91.7K

$143.1K

$198.2K

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

As of Aug 6, 2026, the average yearly pay for senior data engineer python in Washington, DC is $143,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $163,100.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

How much does a senior data engineer Python make?

A senior data engineer with Python skills typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially in competitive markets or tech companies.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.
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 Senior Data Engineer Python jobs in Washington, DC? For Senior Data Engineer Python jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Python jobs in Washington, DC look for? The top searched job categories for Senior Data Engineer Python jobs in Washington, DC are:

Senior Data Engineer

Node.Digital

Washington, DC • On-site, Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Senior Data Engineer
Location: Herndon, VA (Remote Work)
Must have an Public Trust Clearance
KEY RESPONSIBILITIES
• Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.
• Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.
• Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.
• Migrate source data identified by SBA OIG into Azure Data Lake Storage.
• Normalize entity attributes such as addresses, phone numbers, and other common fields.
• Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.
• Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.
• Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.
• Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.
• Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.
• Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.
• Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.
• Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.
• Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.
Requirements
Education
Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.
  • 5 years - Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years - Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS
  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits
We are proud to offer competitive compensation and benefits packages to include
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training