Live opening · Posted 14 hours ago

Senior Data Platform Engineer (Python) - Consultant

Qbitech · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 14 hours ago
CompanyQbitech
LocationUnited States (Remote)
Work modeYes
SkillsPython, AWS, Docker, Terraform, PostgreSQL
SourceLinkedin
ListedPosted 14 hours ago

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About the role

Description supplied by the original job listing.

DATA ENGINEERINGdistanceREMOTECONTRACT
Senior Data Platform Engineer (Python) - Consultant
Join a team modernizing a large-scale cloud data platform for ingestion, processing, analytics, governance, and operational insight.
You will work across Python pipelines, Airflow orchestration, AWS lakehouse components, and the reliability and security needed in a regulated iGaming environment.
PythonAirflowAWSS3PostgresRedshiftGlueLake FormationSparkKafkaIcebergdbtTerraformDockerKubernetesGrafana
bolt
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recruitment@qbitech.iomail
Contact
Questions? Reach out directly.
Jefimija
jefimija@qbitech.io
Responsibilities
check_circle Build and maintain production Python data pipelines orchestrated with Airflow.
check_circle Work across AWS data lake and warehouse components such as S3, Postgres/Redshift, Glue, and Lake Formation.
check_circle Improve ingestion and transformation reliability, throughput, observability, and data quality.
check_circle Apply CI/CD and Terraform to keep deployments repeatable and measurable.
check_circle Contribute to lakehouse evolution with Spark, Kafka, Iceberg, and dbt.
check_circle Enforce access control, schema validation, GDPR compliance, and PII governance.
check_circle Mentor junior engineers and contribute to architecture and tooling decisions.
shieldRequirements
5+ years building production Python data pipelines.
Hands-on experience with AWS, Airflow, SQL, and data modeling.
Practical Docker, Terraform, and CI/CD experience.
Familiarity with Spark, Kafka, Iceberg, dbt, or similar lakehouse tooling.
Strong focus on reliability, observability, and secure data handling.
Experience in betting, gaming, fintech, or another regulated environment is a plus.
What will be your next steps?
01chat_bubble
Quick non-technical conversation
Our initial conversation is a brief, non-technical discussion to understand your background and career aspirations. We're keen to learn about your communication style and how you approach teamwork and decision-making.
02code
60 to 90 minutes technical interview
This in-depth technical assessment, lasting 60 to 90 minutes, is designed to evaluate your specific skills and expertise. We will present you with challenges relevant to our client’s requirements.
03groups
Client interview
In this stage, you will meet directly with the client for a final technical discussion. This interview will be similar in format to our internal technical assessment, allowing the client to see firsthand how your expertise aligns with their specific project needs and team.
04workspace_premium
Offer
Congratulations on successfully completing our evaluation process. We are pleased to extend an offer and recommend you to our clients.
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