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Overnight Startup Data Engineer Jobs in Georgia (NOW HIRING)

Alt

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data ... Thrive in a startup environment where you can make immediate impact and own critical systems end-to ...

Home Depot

Online Data Engineer Manager

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

Home Depot

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

Home Depot

Senior Developer, Item Data

Atlanta, GA · On-site

The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Helion

Senior Industrial Engineer

Villa Rica, GA · On-site

$34.50 - $47.25/hr

Senior Industrial Engineer - Distribution Center Startup Location: Villa Rica, GA Schedule ... Analyze operational data to identify capacity requirements, bottlenecks, labor needs, and process ...

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All JobsStartup Data Engineer JobsOvernight Startup Data Engineer JobsOvernight Startup Data Engineer Jobs in Georgia

Overnight Startup Data Engineer information

What is the difference between Overnight Startup Data Engineer vs Data Analyst?

AspectOvernight Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Business, or related; proficiency in data visualization
Work EnvironmentFast-paced startup, often remote, with focus on data infrastructureOffice or remote, analyzing data to support business decisions
Employer & Industry UsageStartups, tech companies, e-commerceVarious industries including finance, marketing, healthcare
Common Search & ComparisonOvernight Startup Data Engineer vs Data Analyst

The Overnight Startup Data Engineer focuses on building and maintaining data pipelines and infrastructure, often working overnight shifts to support real-time data needs. In contrast, a Data Analyst primarily interprets data to generate reports and insights for business strategies. While both roles require analytical skills, data engineering emphasizes technical infrastructure, whereas data analysis centers on data interpretation and visualization.

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For Overnight Startup Data Engineer jobs in Georgia, the most frequently searched job titles are:

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Overnight Startup Data Engineer jobs near you

Data Engineer

Alt

Atlanta, GA • On-site, Remote

$155K - $165K/yr

Full-time

Posted 20 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.