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Remote Oracle Data Engineer Jobs in Naperville, IL

Alpaca

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data modeler/analyst must have Database table and schema design experience (specially for Oracle)

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

INA Solution Inc

Oracel HCM Developer

Chicago, IL · Remote

Oracle HCM Developer Locations: Remote Duration: Long-term Contract Required Skills and ... Strong experience with Oracle Integration Cloud (OIC), HCM Data Loader (HDL), and HCM Extracts.

Anomalix

Remote Consulting Engineer

Chicago, IL · On-site +1

Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ... SailPoint, Oracle Identity Manager, Oracle Identity Analytics, CA Identity Manager * Hands-on ...

Anomalix

Remote Consulting Engineer

Chicago, IL · Remote

Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ... SailPoint, Oracle Identity Manager, Oracle Identity Analytics, CA Identity Manager * Hands-on ...

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How much do remote oracle data engineer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote oracle data engineer in Naperville, IL is $68.56, according to ZipRecruiter salary data. Most workers in this role earn between $61.68 and $76.83 per hour, depending on experience, location, and employer.
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Remote Oracle Data Engineer jobs near you
Infographic showing various Remote Oracle Data Engineer job openings in Naperville, IL as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,615 per year, or $68.6 per hour.
Senior Data Engineer

Senior Data Engineer

Alpaca

Chicago, IL • On-site, Remote

$109K - $148K/yr

Full-time

Posted 15 days ago

Job description

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role: We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers.

We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

  • Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders.
  • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.
  • Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements.
  • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.
  • Operate the system and manage production issues in a timely manner.

Must-Haves:

  • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day.
  • Proficiency in at least one programming language, with strong working knowledge of Python and SQL.
  • Experience with cloud-native technologies like Docker, Kubernetes, and Helm.
  • Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg.
  • Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.)
  • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).
  • Ability to work in a fast-paced environment and adapt solutions to changing business needs.
  • Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte.
  • Production experience with streaming systems like Kafka.
  • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform.
  • Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).
  • If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you!
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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