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Remote Pandas Jobs (NOW HIRING)

Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets * Build ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Strong programming expertise in Python (Pandas, NumPy, PySpark, etc.). * Design, develop, deploy ...

Pandas work best when they're happy. We retain our talent by upholding our values of integrity ... Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.

Data Engineer (MQTT & IOT)

$117K - $140K/yr

Remote Rate: DOE Job Summary: We are seeking a highly skilled and motivated Data Engineer with ... Strong experience in data exploration and analysis using tools like Pandas, SQL, or Jupyter.

Databricks SME (Remote)

$175K - $195K/yr

This position is fully remote within the United States. Responsibilities * Implement and manage ... Pandas, Sybase/SAP PowerDesigner, Databricks DAB, Databricks Unity Catalog, and Databricks lakflow ...

US Remote This resource will work specifically on anomaly detection within one of our plant ... Proficiency with Python, including pandas, scikit-learn * Experience in PySpark Minimum ...

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Remote Pandas information

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$83.5K

$127K

$171K

How much do remote pandas jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote pandas in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Pandas vs Remote Data Analysts?

AspectRemote PandasRemote Data Analysts
Required SkillsPython, Pandas library, data manipulationExcel, SQL, data visualization
Work EnvironmentRemote, programming-focusedRemote, analytical and reporting tasks
Industry UsageTech, finance, data science projectsBusiness, marketing, finance sectors
CertificationsPython certifications, data science coursesExcel, SQL certifications, analytics courses

Remote Pandas roles focus on data manipulation using Python and Pandas, often requiring programming skills. Remote Data Analysts handle data analysis, reporting, and visualization, typically using Excel and SQL. Both roles are remote and industry-relevant, but they differ in tools and daily tasks.

More about Remote Pandas jobs
What cities are hiring for Remote Pandas jobs? Cities with the most Remote Pandas job openings:
What are the most commonly searched types of Pandas jobs? The most popular types of Pandas jobs are:
What states have the most Remote Pandas jobs? States with the most job openings for Remote Pandas jobs include:
Infographic showing various Remote Pandas job openings in the United States as of July 2026, with employment types broken down into 5% Locum Tenens, 14% As Needed, 67% Full Time, 11% Part Time, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Senior Backend Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

About the role
We are hiring a Senior Backend Engineer to design and build scalable data-intensive systems using Python and modern big data tooling. You will work on data pipelines, APIs, and backend services that process large datasets using dataframes, Parquet, and Databricks, enabling analytics and visualization products at scale. This role is ideal for someone who enjoys working close to data, cares deeply about performance and reliability, and can own backend systems end-to-end.
Responsibilities
  • Design, implement, and maintain backend services and data pipelines using Python
  • Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets
  • Build and optimize data pipelines using Parquet and columnar storage formats
  • Develop and maintain workflows on Databricks
  • Optimize performance for large-scale, distributed data processing
  • Design and maintain APIs that support data-heavy applications
  • Collaborate closely with front-end, data, and product teams
  • Ensure data quality, reliability, and observability
  • Participate in architectural decisions and technical planning
  • Mentor other engineers and lead code reviews
Required Qualifications
  • 5+ years of backend or data engineering experience
  • Strong proficiency in Python
  • Deep experience with dataframes (Pandas, PySpark, Dask, or similar)
  • Hands-on experience with big data processing and distributed systems
  • Strong experience working with Parquet and columnar data formats
  • Experience using Databricks in production environments
  • Solid understanding of data modeling, performance tuning, and memory optimization
  • Experience building and maintaining APIs (REST and/or gRPC)
  • Strong debugging, testing, and problem-solving skills
Nice to Have
  • Experience deploying and operating systems on AWS
  • S3, EC2, EKS, Lambda, IAM, etc.
  • Experience with infrastructure-as-code (Terraform, CloudFormation)
  • Experience with containerization and deployment (Docker, Kubernetes)
  • Familiarity with CI/CD pipelines and automated deployments
  • Experience with streaming systems (Kafka, Kinesis)
  • Background in analytics, geospatial data, or data platforms

Compensation
  • Location: Jacksonville, FL (Town Center Area) or Remote
  • Type: Full-time
  • Reports to: Director of Engineering
  • Salary Based on Experience
  • Annual Bonus
  • Medical, Vision, Dental, 401(k)
  • 21 Days Vacation
  • Office Lunch provided Daily

About Urban SDK
Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.
Our Commitment to People
We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.