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Data Engineer Python Jobs in Virginia (NOW HIRING)

Infinitive Inc

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

Infinitive Inc

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

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See Virginia salary details

$22.8K

$138.8K

$200.8K

How much do data engineer python jobs pay per year?

As of May 30, 2026, the average yearly pay for data engineer python in Virginia is $138,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $163,100.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
More about Data Engineer Python jobs
What are the most commonly searched types of Data Engineer Python jobs in Virginia? The most popular types of Data Engineer Python jobs in Virginia are:
What are popular job titles related to Data Engineer Python jobs in Virginia? For Data Engineer Python jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Virginia look for? The top searched job categories for Data Engineer Python jobs in Virginia are:
Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Virginia as of May 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 80% In-person, 15% Hybrid, and 5% Remote job distribution, with an average salary of $138,771 per year, or $66.7 per hour.
Data Engineer (Python, Pyspark & AWS)

Data Engineer (Python, Pyspark & AWS)

IT America Inc

Mclean, VA • On-site

$115.70K - $139K/yr

Contractor

Posted 9 days ago

Job description

Position: Data Engineer (Python, Pyspark & AWS)

Location: McLean, VA

Duration: Long term contract

Role Summary:

We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and AWS cloud data services. The ideal candidate will design, build, and optimize scalable data pipelines, ensuring high-quality data availability for analytics, reporting, and business operations. This role requires hands-on development, strong problem-solving skills, and experience working with large-scale distributed systems and data platforms.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Python and PySpark
  • Build and optimize data ingestion, transformation, and processing frameworks
  • Work with AWS cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, DynamoDB, etc.
  • Partner with data architects, analysts, and BI teams to deliver high-quality data solutions
  • Perform data profiling, quality checks, and validation for accuracy and consistency
  • Automate data workflows and improve data pipeline performance
  • Implement best practices for security, monitoring, version control, and CI/CD
  • Troubleshoot complex data and pipeline issues in a distributed environment
  • Document solutions, data dictionaries, lineage, and technical workflows

Required Skills & Qualifications

  • 12+ years of hands-on data engineering experience
  • Strong programming skills in Python, including data structures and OOP
  • Deep expertise with PySpark for distributed data processing
  • Proficiency with AWS Cloud data ecosystem
  • (S3, Glue, EMR, Lambda, Redshift, Athena, Step Functions, IAM)
  • Strong SQL experience and optimization techniques
  • Hands-on experience with ETL/ELT pipeline development
  • Experience with Docker, Git, and CI/CD tools
  • Understanding of data modeling, schema design (Star/Snowflake)
  • Experience working in Agile/Scrum environments