Senior Backend Engineer

Urban SDK

United States

Hybrid

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Annual bonus
21 days vacation
Office lunch provided daily

Job summary

A tech company specializing in geospatial AI is looking for a Senior Backend Engineer to design and build scalable systems. The role involves working with data pipelines, APIs, and large datasets using Python, Databricks, and Parquet. Candidates should have over 5 years of experience and a strong command of backend engineering and data processing. This position offers a flexible remote option and a comprehensive benefits package including annual bonuses and vacation days.

Qualifications

  • 5+ years of backend or data engineering experience required.
  • Strong proficiency in Python is essential.
  • Experience with dataframes like Pandas or PySpark is crucial.
  • Familiarity with developing APIs (REST or gRPC) is a must.
  • Hands-on experience with big data processing is needed.

Responsibilities

  • Design, implement, and maintain backend services using Python.
  • Work with dataframes to process large datasets.
  • Build and optimize data pipelines with Parquet.
  • Develop workflows on Databricks.
  • Ensure data quality and reliability.

Skills

Backend engineering
Python
Data engineering
Dataframe processing
Performance tuning

Tools

Pandas
PySpark
Databricks
Parquet
AWS

Job description

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
  • 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
  • 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.

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