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Python Pandas Remote Jobs in Virginia (NOW HIRING)

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

SAIC

Software Systems Integrator

Arlington, VA · On-site +1

TS/SCI Potential for Remote Work: ORA_HYBRID Description Join the Data Feed Integration (DFI) team ... R, or Python libraries like Pandas is a plus. Experience with cloud-focused programming (e.g ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Expert Python and SQL * Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep ... Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or Azure

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Expert Python and SQL * Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep ... Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or Azure

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Python Pandas Remote information

What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are the most commonly searched types of Python Pandas jobs in Virginia? The most popular types of Python Pandas jobs in Virginia are:
What are popular job titles related to Python Pandas Remote jobs in Virginia? For Python Pandas Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Virginia look for? The top searched job categories for Python Pandas Remote jobs in Virginia are:
What cities in Virginia are hiring for Python Pandas Remote jobs? Cities in Virginia with the most Python Pandas Remote job openings:
Python Pandas Remote jobs near you
Senior Data Engineer ID75059

Senior Data Engineer ID75059

AgileEngine

Richmond, VA • On-site, Remote

$104K - $142K/yr

Full-time

Posted 5 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
  • Design and implement Python Data Engineering solutions;
  • Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
  • Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
  • Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
  • Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
  • Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
  • Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
  • Work with Terraform and other tools to build AWS and on-prem infrastructure.

MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
  • 5+ years of experience with Python (strong, hands-on Python experience is a must);
  • 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
  • 2+ years of experience with Big Data technologies (Spark, Snowflake);
  • Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
  • Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
  • Proven ability to work with 3rd party APIs for complex data ingestion tasks;
  • Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
  • Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
  • Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
  • A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
  • Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
  • Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
  • Upper-intermediate English level.

NICE TO HAVES
  • Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
  • Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
  • OpenSearch, Elasticsearch;
  • AWS Sagemaker Studio, Jupyter for analyze data;
  • Terraform;
  • Scala.

PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.

Apply