Sr. Data Engineer
NinjaTrader · Chicago or Remote*
Posted about 3 months ago · $100,000.00 - $150,000.00
or apply directly on NinjaTrader's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days NinjaTrader's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 100% of NinjaTrader's roles list one
- Ghost-job risk at NinjaTrader
- high 23 stale, 0 reposted of 24 open
- Hiring momentum
- 36 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from NinjaTrader's own greenhouse board since 2026-08-03. Full hiring picture for NinjaTrader.
About this role
As a Sr. Data Engineer at NinjaTrader, you will design and maintain data pipelines and architecture that support analytics, trading tools, and AI initiatives. Your role involves optimizing workflows, integrating financial APIs, and collaborating with various teams to deliver reliable data products. This position emphasizes both independent and team-based work in a fast-paced Agile environment.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of NinjaTrader as an employer.
What you need
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in data engineering, platform engineering, or backend development
- Strong skills in SQL and Python for building and testing data solutions
- Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.)
- Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
- Experience with CI/CD pipelines, infrastructure-as-code, and version-controlled deployment workflows (e.g., Terraform, GitOps)
Nice to have
- Hands-on Kubernetes experience, especially around data workloads and containerized pipelines
- Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows
- Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns
- Experience with BI tools like Looker Studio or QuickSight
- Experience with observability and monitoring tooling (e.g., Datadog, Grafana, Prometheus)
What you get
- Salary range of $110,000.00 - $160,000.00 USD
- Annual target bonus of 10% based on individual and company performance
- 401K plan with company match up to 3.5%
- Annual paid time off allowance of 18 days plus seven paid holidays
- 20 additional flex remote days annually
- 5 Company Wide Office-Optional weeks tied to major holidays
Worth weighing
- Remote flexibility is limited to exceptional candidates in specific states
- The role requires a strong emphasis on both independent and collaborative work in a fast-paced environment
- The job involves working with a modern data platform but may also include legacy systems depending on the existing architecture
Summarised from NinjaTrader's posting. Read the full original.
Listed by NinjaTrader on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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