Senior Data Engineer
Chicago, Illinois
- Pay
USD 150,000–200,000/year — pay source
Salary 150,000 – 200,000 USD per year Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingWork with our traders to understand analytic needs to improve trading performance.
Design and maintain a modular data architecture to facilitate and scale future analysis.
Ensure high data quality for all analytical trading datasets.
From the employer’s posting
What You'll Do Work with our traders to understand analytic needs to improve trading performance. Design and maintain a modular data architecture to facilitate and scale future analysis.
Work with our traders to understand analytic needs to improve trading performance. Design and maintain a modular data architecture to facilitate and scale future analysis. Ensure high data quality for all analytical trading datasets.
Design and maintain a modular data architecture to facilitate and scale future analysis. Ensure high data quality for all analytical trading datasets. Hold other team members to data standards, including modular design, testing, and documentation.
What you’ll bring
All qualificationsCore experience
- Experience designing and developing big data warehouses and ETL pipelines.
- Proven knowledge of SQL and Python.
- Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series.
- Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively.
Preferred experience
- Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus.
Qualification wording
Experience designing and developing big data warehouses and ETL pipelines.
Proven knowledge of SQL and Python.
Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series.
Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively.
Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus.
Tools in this posting
- SQL
- BigQuery
- Kafka
- NoSQL
- Spark
- Python
Source — Tool mentions in context
- Experience designing and developing big data warehouses and ETL pipelines. - Proven knowledge of SQL and Python. - Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series.
- Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus. - Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively. - Excellent verbal and written communication, analytical, and problem-solving skills.
- Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series. - Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus. - Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively.
- Proven knowledge of SQL and Python. - Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series. - Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus.
Job description
What You'll Do
- Work with our traders to understand analytic needs to improve trading performance.
- Design and maintain a modular data architecture to facilitate and scale future analysis.
- Ensure high data quality for all analytical trading datasets.
- Hold other team members to data standards, including modular design, testing, and documentation.
- Hold other team members to visual standards, including modular design, testing, and documentation.
- Ensure technical solutions are simple and scale well for future use cases.
What You'll Need
- Experience designing and developing big data warehouses and ETL pipelines.
- Proven knowledge of SQL and Python.
- Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series.
- Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus.
- Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively.
- Excellent verbal and written communication, analytical, and problem-solving skills.
Salary
150,000 – 200,000 USD per year
Employment type
Full-Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 150,000 – 200,000 USD per year Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.
- Location & working pattern
Chicago, Illinois
Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com. Work Schedule: Regular and reliable attendance during standard business hours with the ability to be on-site prior to the start of business on occasion Amount of Travel Required: None
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 21
- Last seen by us
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.