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Rust Data Engineer Jobs (NOW HIRING)

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Java, Scala, Go, Rust) * Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar * Big Data Technologies: Hands-on ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

Java, Scala, Go, Rust) * Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar * Big Data Technologies: Hands-on ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Proficiency in SQL and strong programming skills in Python, Rust, or Java * Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Rust • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query ...

ArtOfBlockchain

Rust Engineer

Austin, TX · On-site

$320K - $465K/yr

Role Summary Rust powers Axiom's critical path across low-latency services, real-time data streaming, and trade execution. As a Rust Engineer , you will build and operate high-throughput backend ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++. * Experience building data ingestion pipelines for a ...

Versa Networks

Senior Data Engineer

Santa Clara, CA · On-site

$123K - $167K/yr

Experience writing data services in Go or Rust * Cloud Fundamentals: Familiarity with deploying and managing services in a cloud environment * Security & Compliance: Knowledge of data governance ...

New

The Marlin Alliance

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$113K - $154K/yr

Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages * 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator ...

The Marlin Alliance

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$112K - $152K/yr

Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages * 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator ...

The Marlin Alliance

Senior Data Engineer (OpAI)

San Diego, CA · On-site

$112K - $152K/yr

Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages * 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator ...

SOLANA FOUNDATION

$200K - $250K/yr

Work in SQL on ClickHouse and PostgreSQL, and in Rust when the ingestion path needs to change ... Strong data engineering fundamentals: pipeline design, ETL/ELT, data modeling, orchestration, and ...

WITCO

Data Engineer II

Atlanta, GA · On-site

$110K - $132K/yr

As aSenior Software/Data Engineer on the TruBase platform, you will own the data transport ... Experience with lower-level languages (e.g., Rust, Go, or C++). * Deep understanding of ...

New

Voltai

Software Engineering - Data Engineer

Menlo Park, CA · On-site

$134K - $162K/yr

The Data Engineer role involves collecting, parsing, and structuring diverse data types for machine ... Required : • Proficiency in Python, with experience in compiled languages such as Go or Rust • ...

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As of Sep 11, 2026, the average yearly pay for rust data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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AI Data Engineer

New York, NY • On-site

Schonfeld
51 - 200 employees
Learn more about Schonfeldexternal

$125K - $150K/yr

Full-time

Re-posted 8 days ago

Job description

About the Role
Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that power SchonAI, our firm's internal AI platform. You will work at the intersection of data engineering and AI, ensuring that high-quality, timely, and relevant data flows seamlessly to our AI systems to support investment professionals across the firm.
Key Responsibilities
Data Pipeline Development
  • Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data to SchonAI using Prefect.
  • Develop ETL/ELT processes for diverse data sources including market data, research documents, internal databases, and third-party APIs.
  • Implement real-time and batch data processing workflows to meet varying latency requirements.
  • Ensure data quality, consistency, and integrity across all pipelines.

AI Data Infrastructure
  • Build and maintain data infrastructure optimized for AI/ML workloads, including vector databases and semantic search systems.
  • Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications.
  • Implement data versioning, lineage tracking, and observability for AI training and inference pipelines.
  • Optimize data delivery for low-latency AI interactions and high-throughput batch processing.

Integration & Collaboration
  • Partner with AI engineers, software developers, and data scientists to understand data requirements.
  • Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases.
  • Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements.
  • Work closely with business stakeholders to prioritize data sources and pipeline enhancements.

Data Governance & Security
  • Implement appropriate data access controls, encryption, and compliance measures.
  • Ensure adherence to data governance policies and regulatory requirements.
  • Monitor and maintain data pipeline performance, reliability, and cost efficiency.
  • Document data flows, transformations, and dependencies.

Required Qualifications
Technical Skills
  • Programming: Strong proficiency in Python; experience with SQL and at least one other language (e.g. Java, Scala, Go, Rust)
  • Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar
  • Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
  • Cloud Platforms: Proficiency with AWS services (S3, Kubernetes) or equivalent GCP services
  • Databases: Experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Elasticsearch)
  • AI/ML Data: Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines

Preferred Experience
  • Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems
  • Familiarity with financial data sources (market data, fundamental data, alternative data)
  • Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
  • Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Understanding of MLOps practices and tools
  • Experience with data quality frameworks (Great Expectations, Deequ)

Professional Skills
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
  • Experience working in fast-paced, collaborative environments
  • Self-motivated with ability to manage multiple priorities

Who we areSchonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our CultureAt Schonfeld, we'll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
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