As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.
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.
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.
- 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.
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
- 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.
Similar Jobs
Big Data • Cloud • Information Technology • Analytics • Business Intelligence • Consulting • Data Privacy
Designs and implements scalable data, analytics, and AI solutions for clients. Builds and optimizes data models and ETL/ELT pipelines, performs testing and validation, translates business requirements into technical solutions, documents architectures, manages workstreams, supports client training, and contributes to governance, risk tracking, and solution design.
Top Skills:
Amazon RedshiftAzure SynapseBigQueryDatabricksEltETLPythonSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, test, and maintain large-scale healthcare data pipelines and AWS data warehouse solutions. Build Redshift and EMR ETL processes, monitor pipeline performance, resolve data discrepancies, support deployments, conduct code reviews, and document database designs and testing. Collaborate with engineers, analysts, consultants, and cross-functional teams to improve data quality, scalability, and processing efficiency.
Top Skills:
Amazon EmrAmazon RedshiftAmazon S3Automated Testing FrameworksAWSCi/CdETLOraclePythonSQLSQL Server
Financial Services
Build and operate scalable Databricks-on-AWS data pipelines using PySpark, Delta Lake, and lakehouse patterns. Optimize performance, implement data quality, monitoring, alerting, and automated remediation, and deliver curated datasets for BI and analytics partners. Collaborate with stakeholders on architecture and design while applying secure software engineering, CI/CD, agile, and operational stability practices. The role also uses AI-assisted development tools and supports workforce data analytics.
Top Skills:
AlteryxAmazon AthenaAmazon EmrAmazon S3Apache AirflowApache IcebergSparkAutosysAWSAws CloudwatchAws GlueAws LambdaBitbucketClaudeDatabricksDatabricks WorkflowsDelta LakeDelta Live TablesGitGithub CopilotJavaJenkinsOracleParquetPysparkPythonScalaSigmaSpinnakerSQLTableau
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
