• Data Engineer Python

    SMX (Washington, DC)


    Data Engineer Python (4254)at SMX(View all jobs) (https://www.smxtech.com/careers/)

     

    Washington, DC

     

    SMX is seeking a talented Data Engineer (Python) with expertise in ETL (Extract, Transform, Load) processes and Apache Airflow. The candidate will be responsible for designing and implementing robust and efficient data pipelines, ensuring high data quality, and contributing to the continuous improvement of our data management practices. This is a remote position supporting a Washington, DC based team.

    Essential Duties & Responsibilities:

    + Design, develop, and maintain ETL processes using Python and Apache Airflow.

    + Collaborate with data analysts and other stakeholders to understand and meet their data requirements.

    + Develop and implement data validation processes to ensure high data quality.

    + Troubleshoot and resolve issues related to data pipelines.

    + Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance.

    + Document and maintain the design and details of data processes and schemas.

    + Stay updated with the latest industry trends and technologies to ensure data practices remain current.

    Required Skills & Experience:

    + Proficiency in Python:

    + Strong understanding of Python programming language.

    + Experience with Python libraries and frameworks like Pandas, NumPy, and Django.

    + Expertise in Apache Airflow:

    + Experience in designing, building, and maintaining data pipelines using Apache Airflow.

    + Knowledge of Airflow's architecture, including DAGs and Operators.

    + ETL Processes:

    + Proficiency in data extraction, transformation, and loading processes.

    + Experience with data extraction from various sources, data transformation (cleaning, validating, aggregating, joining, etc.), and loading data into databases or data warehouses.

    + Database Knowledge:

    + Strong understanding of SQL and NoSQL databases.

    + Proficiency in writing complex queries and applying database optimization techniques.

    + Data Warehousing:

    + Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse.

    + Soft Skills:

    + Strong communication and collaboration skills.

    + Excellent problem-solving skills.

    + US Citizenship is required to obtain a federal clearance.

    Desired Skills & Experience

    + Knowledge of data modeling and data warehousing.

    **Application Deadline:** 5-30-2025

     

    \#cjpost #LI-SA1 #LI-Remote

     

    The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

    The proposed salary for this position is:

    $86,000—$143,200 USD

     

    At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

     

    We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

     

    SMX is an Equal Opportunity employer including disabilities and veterans.

     

    Selected applicant may be subject to a background investigation and/or education verification.