Sr. Data Engineer
New
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NinjaTraderFintech Trading
Chicago or Remote* ... There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.Full-TimeSenior
Salary$100,000.00 - $150,000.00 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLETLGCPAirflowTerraformdbt
Requirements
- 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.
- Hands-on experience with GCP data products (BigQuery, Cloud SQL, Cloud Storage).
- Experience with AWS cloud services (S3, Glue, Athena, Kinesis).
- Experience with CI/CD pipelines, infrastructure-as-code, and version-controlled deployment (e.g., Terraform, GitOps).
- Hands-on dbt experience building and maintaining projects.
- Proficiency with workflow orchestration tools (e.g., Airflow, Prefect).
- Knowledge of data lake architecture (e.g., Parquet, Avro, Apache Iceberg).
- Familiarity with event-driven and service-oriented architecture.
- Track record of building automated, well-tested, and observable data systems.
Responsibilities
- Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
- Improve observability, alerting, and SLOs across data systems.
- Optimize ETL/ELT workflows for performance, scalability, and fault tolerance.
- Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting.
- Build and support event-driven architectures and scalable platform components.
- Integrate complex financial APIs and third-party data sources into internal systems.
- Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products.
- Promote high standards in code quality, testing, and platform reliability.
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