Jobs / United States / Akuna Capital LLC
Software Engineer - Data Engineering
Akuna Capital LLC · 🇺🇸 Chicago, IL
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 33 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 20 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Akuna Capital LLC paid sponsored hires in similar roles12 certified filings for “Software Engineer III” (Software Developers) in IL: $155k–$165k, median $155k. Most were filed at wage level I (58%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Akuna Capital LLC
The US Department of Labor certified 33 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 20 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Akuna Capital LLC →
About the role
About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore. What you’ll do as a Software Engineer on the Data Engineering team at Akuna: We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna’s data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna’s Quant, Trading, and Business Operations business units. In this role, you will: • Work within a growing Data Engineering division supporting the strategic role of data at Akuna • Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows • Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects • Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark. • Mentor junior engineers in software and data engineering best practices • Produce clean, well-tested, and documented code with a clear design to support mission critical applications • Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness • Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack Qualities that make great candidates: • BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field • 5+ years of professional experience developing software applications • Java/Scala experience required – Python experience a significant plus • Highly motivated and willing to take ownership of high-impact projects upon arrival • Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino • Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements • Must possess excellent communication, analytical, and problem-solving skills • Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required, but a strong plus • Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary • Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects • The ability to react q