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Mid Level Python Developer Jobs in District of Columbia

Accenture LLP

Mid-Level ServiceNow Developer

Washington, DC · On-site

$61.25 - $84/hr

We are seeking a Mid-Level ServiceNow Developer to support the design, configuration, and ... Experience with Python or other scripting languages for AI/ML pipeline support. * Exposure to ...

Kavaliro

Mid-Level Cloud Systems Engineer

Loudoun, VA · On-site

Kavaliro is seeking a Mid-Level Cloud Systems Engineer to support a client in Virginia. Overview: Kavaliro is seeking a Mid-Level Cloud Systems Engineer with hands-on experience across the Systems ...

USM

Mid Level Sharepoint Developer

Washington, DC · On-site

$55.50 - $72.50/hr

SharePoint Developer Duration: 6 + Months Location: Washington, DC for the first two months then moving to Reston, VA MUST HAVE: Sharepoint 2013 and 2016, Office 365, looking for mid level (no too ...

CGI Inc.

Mid Level Angular Developer

Washington, DC · On-site

$62 - $76/hr

Mid Level Angular Developer Category: Software Development/ Engineering Main location: United States, District of Columbia, Washington Position ID:J0426-1811 Employment Type: Full Time U.S. - Work ...

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How much do mid level python developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for mid level python developer in District of Columbia is $66.24, according to ZipRecruiter salary data. Most workers in this role earn between $54.62 and $75.24 per hour, depending on experience, location, and employer.

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Mid-Level Data Engineer (On-Site in Washington, DC)

WesBanco Bank Inc

Washington, DC • On-site

$129K - $155K/yr

Other

Posted 4 days ago

WesBanco rating

7.4

Company rating: 7.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

About Agile5: Agile5 Technologies, Inc., is a Woman-Owned Small Business (WOSB) and Information Technology (IT) services firm that specializes in the design, development, testing, integration, and maintenance of enterprise software systems. We believe our employees are the company's most valuable asset. We are invested in seeing our employees grow in their careers, while maintaining a work/life balance. We have an immediate, full-time need for a skilled, energetic, and driven Mid-Level Data Engineer.
Description: The Mid-Level Data Engineer will support data migration, pipeline engineering, and modernization efforts for enterprise data lakehouse architectures. This role involves converting legacy Informatica artifacts into clean Python/PySpark code, migrating database schemas, and building automated data reconciliation pipelines. Working closely with senior engineering leadership and database managers, the ideal candidate will enforce high standards of data quality, data validation, and version control in a secure federal environment.
Mid-Level Data Engineer Job Duties:
  • Execute daily data migration operations including data profiling, schema mapping, pipeline conversion, and automated reconciliation for Low and Medium complexity Informatica artifacts.
  • Convert Informatica mappings into well-documented Python/PySpark code, ensuring all business logic and data quality controls are preserved.
  • Migrate legacy Hive tables to Delta Lake format on S3 using Databricks ingestion tools.
  • Build and execute automated data reconciliation scripts to validate migration accuracy and establish Change Data Capture (CDC) pipelines for ongoing synchronization.
  • Commit all converted code into Azure DevOps with clear documentation and inline comments while maintaining Unity Catalog configurations.
  • Perform daily data profiling and side-by-side validation within legacy enclave environments.
  • Support Power BI and ESRI integration testing and validation.
  • Participate actively in peer code reviews, daily Agile ceremonies, and collaborative data validation sessions.
  • Contribute to Data Quality Assessment Reports and support training and knowledge transfer activities.
  • Performs other duties as assigned.

Security Clearance Requirements:

    Experience Requirements:
    • Minimum experience required varies by degree level: PhD with 0 years; Master's degree with 3 years; Bachelor's degree with 5 years; or High School Diploma with 9 years of relevant experience.
    • Proficiency in Python for data transformation and pipeline development, as well as SQL for query development and schema analysis.
    • Experience with ETL/ELT processes, data migration methodologies, and cloud data platforms (AWS, Azure, or Google Cloud Platform).
    • Familiarity with version control systems (Azure DevOps, Git) and data quality concepts including profiling, cleansing, and reconciliation.

    Education Requirements: Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field is preferred (or equivalent combination of education and experience).
    Desired Skills / Qualifications:
    • Experience with Databricks (notebooks, jobs, workspace navigation), PySpark, Apache Spark, and Delta Lake or Apache Iceberg table formats.
    • Proven track record converting visual ETL tools (Informatica, Talend, SSIS) to code-based pipelines.
    • Experience with Hive, HiveQL, or Hadoop ecosystem components.
    • Familiarity with federal IT environments, security requirements, and CI/CD pipelines for data engineering workflows.

    Location: Washington, DC
    Status: Full time
    Schedule: Day shift, Monday-Friday
    Physical Requirements: Must be able to remain in a stationary position for long durations of time. Also, must be able to continuously operate a computer and other office productivity machinery.
    Travel Required: No
    This job description is subject to change at any time.
    We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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