2098 IT & Software Developer jobs in the US

Jobot jobs

Data Engineer - Python and SQL focus

$155,000 - 175,000
Jobot
Broadway 260, New York
$155,000 - 175,000
Company Size icon
Company Size
1k-5k
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Minimum of 5 years in DevOps, Cloud Engineering, or similar roles, with at least 2 years focusing on MLOps in production settings - Advanced skills in Python for development, automation, and scripting - Proven track record in building and deploying production-level APIs and backend services (e.g., FastAPI, Flask, Django) - Strong SQL capabilities and experience in designing and optimizing data models for both relational and NoSQL databases (e.g., BigQuery, Cloud SQL) - Hands-on knowledge with workflow orchestration tools (e.g., Dagster, Airflow) - Expertise in Docker and Kubernetes, including Helm and Kubernetes-native Infrastructure as Code (IaC) tools; experience with GKE is preferred - Extensive familiarity with the Google Cloud Platform (GCP) ecosystem (e.g., Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) - Proficient in GitHub workflows (branching, pull requests, code reviews) - Solid understanding of network architecture, security protocols, and large-scale data processing - Excellent communication skills along with a strong ability to collaborate and solve problems

Technologies

AI
Airflow
BigQuery
CI/CD
FastAPI
GitHub

Responsibilities

- Oversee the design, implementation, and management of end-to-end MLOps pipelines for the continuous training, deployment, monitoring, and versioning of production ML models - Design, build, and sustain efficient data ingestion and transformation pipelines using modern orchestration tools like Dagster or Airflow - Architect, deploy, and maintain highly scalable and fault-tolerant infrastructure utilizing Kubernetes (GKE) within the Google Cloud Platform (GCP) - Advocate for DevOps best practices, including Infrastructure as Code (IaC) with Terraform or similar tools, and develop reliable CI/CD workflows - Configure and oversee automated deployment and testing pipelines using GitHub Actions and related tools for quick and reliable releases - Write clean and effective Python code for automation, infrastructure tools, and service integration - Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to deliver ML predictions and application services in a production environment - Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to ensure system reliability - Incorporate security best practices, access controls, and compliance measures suitable for large-scale enterprise settings - Collaborate closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers

Description


We are a global organization positioned at the crossroads of technology, data, and digital platforms, providing products and services that reach millions around the world. Our engineering teams focus on building and running highly scalable, cloud-native systems that facilitate data-driven decisions, advanced analytics, and machine learning throughout a diverse ecosystem. We emphasize modern engineering practices, automation, and innovation, heavily investing in our personnel and platforms to foster long-term growth and technical mastery. Joining us means working in a collaborative environment among experienced professionals, with opportunities for significant career advancement in a stable and mature setting.
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You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 2098 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the US a good place for Data Engineers?

The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the United States?

Jump, Sched LLC, Meitou Inc., D3 Security Management Systems, Snaplii, Airia Brands Inc, Maddox Industrial Transformer among others, are currently hiring for Data roles in the United States.

The company with most openings is Boeing as they are hiring for 61 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.