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Polars Data Jobs in Georgia (NOW HIRING)

Alt

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar) * Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or ...

GAP SOLUTIONS INC

Cloud Data Engineer (50576)

Atlanta, GA

$112K - $134K/yr

Experience with Python or R including experience with data manipulation libraries (e.g., Pandas, NumPy, Polars, Tidyverse) * Strong problem-solving skills and ability to work independently and in a ...

Stable Kernel

Principal Data Engineer

Atlanta, GA · On-site

Design and optimize high-volume data pipelines using DataFrame processing libraries such as Pandas or Polars. * Serverless Cloud Architecture: Build and operate cloud-native data solutions using AWS ...

AgileEngine

Senior Data Engineer ID75059

Boston, GA · On-site

$87K - $118K/yr

... 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 ...

AgileEngine

Senior Data Engineer ID75059

Atlanta, GA · On-site

$104K - $141K/yr

... 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 ...

Medlytix

QA Engineer

Roswell, GA

Python, SQL, JavaScript/TypeScript, YAML Data Tools: Airflow, dbt, Spark, Polars, pyArrow APIs & Integration: FastAPI, GraphQL, Kafka, Redis, Javascript/Typescript, WASM AI/ML: OpenAI API, Pydantic ...

Medlytix

QA Engineer

Roswell, GA · On-site

Python, SQL, JavaScript/TypeScript, YAML Data Tools: Airflow, dbt, Spark, Polars, pyArrow APIs & Integration: FastAPI, GraphQL, Kafka, Redis, Javascript/Typescript, WASM AI/ML: OpenAI API, Pydantic ...

All JobsPolars Data JobsPolars Data Jobs in Georgia

Polars Data information

What is the difference between Polars Data vs Data Analyst?

AspectPolars DataData Analyst
Required SkillsData manipulation, programming in Python/R, familiarity with data processing librariesData interpretation, reporting, visualization skills, basic programming
Work EnvironmentData processing, scripting, working with large datasetsBusiness analysis, presenting insights, collaborating with teams
Industry UsageData engineering, data science, analytics projectsBusiness intelligence, reporting, decision support

Polars Data focuses on efficient data processing and manipulation using programming tools, often in data engineering or data science contexts. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Polars Data is more technical and programming-oriented, whereas Data Analysts focus on analysis and communication of insights.

What are common challenges faced by professionals working with Polars Data, and how can they be addressed?

Professionals working with Polars Data often encounter challenges such as adapting to its unique API, optimizing data processing workflows for performance, and integrating Polars with other data tools. Since Polars is relatively new compared to libraries like pandas, there may be limited community support or documentation for complex use cases. To overcome these challenges, it's helpful to actively engage with the Polars community, regularly review official documentation, and experiment with different optimization strategies. Collaborating with team members familiar with similar data processing frameworks can also accelerate the learning curve.

What are the key skills and qualifications needed to thrive as a Polars Data engineer, and why are they important?

To thrive as a Polars Data Engineer, you need strong skills in data engineering, Python programming, and a solid understanding of the Polars library for efficient data processing. Familiarity with data pipeline tools, cloud platforms, and proficiency in using Polars for large-scale, high-performance data manipulation is typical, alongside knowledge of version control systems like Git. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and translating data needs into actionable solutions. These skills ensure you can design robust, scalable data workflows and deliver timely insights for data-driven decision-making.

What is a Polars Data professional?

Polars Data professionals are specialists who work with Polars, a fast DataFrame library designed for data manipulation and analysis, particularly in Python and Rust. They use Polars to efficiently process large datasets, perform data cleaning, transformation, and analysis tasks. These professionals often have backgrounds in data science, analytics, or software engineering, and choose Polars for its speed and scalability compared to traditional libraries like pandas. Their work is valuable in fields that require rapid data processing, such as finance, research, and technology.
What are popular job titles related to Polars Data jobs in Georgia? For Polars Data jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Polars Data jobs in Georgia look for? The top searched job categories for Polars Data jobs in Georgia are:
What cities in Georgia are hiring for Polars Data jobs? Cities in Georgia with the most Polars Data job openings:
Polars Data jobs near you

Data Engineer

Alt

Atlanta, GA • On-site, Remote

$155K - $165K/yr

Full-time

Posted 10 days ago

Job description

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform.

The Role

Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing model and marketplace insights by ingesting transaction and listing data from dozens of external marketplaces. You'll be responsible for ensuring our data pipelines deliver fresh, accurate information that drives pricing decisions, market analytics, and business intelligence across the entire platform.

What you'll do here
  • Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
  • Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources.
  • Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability.
  • Partner with internal teams to understand data usage patterns and ensure pipelines deliver clean, standardized data that meets product requirements.
This is a perfect fit if you...
  • Care deeply about data quality and understand that extraction is only the beginning - the real value comes from delivering clean and usable data.
  • Thrive in a startup environment where you can make immediate impact and own critical systems end-to-end.
  • Take an incremental approach to improvements, preferring evidence-based decisions over wholesale replacements.
  • Are intellectually curious about how data flows through systems and passionate about automation opportunities.
  • Want to work at the intersection of data engineering and product, understanding how your pipelines directly impact business outcomes.
What you bring to the table

Must-haves:

  • 3-4 years of experience in data engineering or related fields
  • Strong Python proficiency with at least 3 years of hands-on experience
  • Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar)
  • Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or similar DAG-based systems)
  • Track record of owning at least one data pipeline end-to-end within the past 2 years
  • Solid SQL skills for data analysis and transformation
  • Previous startup experience - you understand the pace and adaptability required in a fast-moving environment
  • A pragmatic mindset focused on delivering value incrementally rather than pursuing perfection

Nice-to-haves:

  • Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup)
  • Familiarity with data infrastructure and cloud services (AWS preferred)
  • Interest in or knowledge of trading cards, collectibles, or alternative asset markets
  • Experience with LLM-based automation tools for data extraction and processing
What You'll Get From Us
  • A seat at the table to help shape the future of Alt and the alternative asset space
  • Autonomy and ownership on projects that matter
  • $100/month work-from-home stipend
  • $200/month wellness stipend
  • WeWork office stipend
  • 401(k) retirement benefits
  • Flexible vacation policy
  • Generous paid parental leave
  • Competitive healthcare benefits, including HSA, for you and your dependent(s)

Base salary range: $155,000–$165,000, plus equity. Offers may vary based on experience, location, and other factors.