DevOps/Python Engineer (Onsite, Austin TX or Sunnyvale CA)

Wipro

Austin (TX)

On-site

USD 60,000 - 135,000

Full time

14 days+

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Benefits offered by this job

Medical and dental benefits
Disability insurance
Paid time off

Job summary

A global technology services firm is seeking an experienced DevOps/Python Engineer to design and optimize scalable data pipelines. This role demands expertise in the modern data ecosystem such as Druid and Databricks, along with strong programming skills in Python. The ideal candidate will manage distributed data systems while collaborating with cross-functional teams to enhance data workflows. Competitive compensation ranging from $60,000 to $135,000 with comprehensive benefits is offered.

Qualifications

  • 5+ years of experience in DataOps, Data Engineering, or DevOps Engineering.
  • Solid understanding of distributed systems architecture.
  • Proficiency in SQL and strong programming skills in Python, Scala, or Java.

Responsibilities

  • Design and maintain highly available and scalable data pipelines.
  • Collaborate with teams to deliver reliable data services.
  • Implement automation for deployment and monitoring of workflows.

Skills

DataOps
DevOps Engineering
Python
Druid
Databricks
SQL
Airflow
GitHub Actions
Kubernetes

Tools

CloudFormation
Terraform
AWS
Azure
GCP

Job description

DevOps/Python Engineer (Onsite, Austin TX or Sunnyvale CA)

We are looking for an experienced DevOpsEngineerto design, build, and optimize our data infrastructure, enabling high-performance, reliable, and scalable data workflows. The ideal candidate has deep expertise in the modern data ecosystem (Druid, Databricks, dbt, Redshift, etc.), a strong understanding of distributed systems, and a proven track record in managing data pipelines and platforms at scale.
In addition, strong programming skills are essential for building automation, custom integrations, and advanced data solutions.

Key Responsibilities
  • Design, implement, and maintain highly available and scalable data pipelines leveraging tools such as Druid, Databricks, dbt, and Amazon Redshift
  • Manage and optimize distributed data systems for real-time, batch, and analytical workloads
  • Develop custom scripts and applications using programming languages (Python, Scala, or Java) to enhance data workflows and automation
  • Implement automation for deployment, monitoring, and alerting of data workflows
  • Collaborate with data engineering, analytics, and platform teams to deliver reliable and performant data services
  • Monitor data quality, reliability, and cost efficiency across platforms
  • Build and enforce data governance, lineage, and observability practices
  • Work with cloud platforms (AWS/Azure/GCP) to provision and maintain data infrastructure
  • Apply CI/CD and Infrastructure-as-Code (IaC) principles to data workflows
Required Skills & Experience
  • 5+ years of experience in DataOps, Data Engineering, DevOps Engineering, or related roles
  • Strong hands‑on experience with Druid, Databricks, dbt, and Redshift (experience with Snowflake, BigQuery, or similar is a plus)
  • Solid understanding of distributed systems architecture and data infrastructure at scale
  • Proficiency in SQL and strong programming skills in at least one language (Python, Scala, or Java)
  • Experience with orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Familiarity with cloud‑native services on AWS, Azure, or GCP
  • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Strong problem‑solving, debugging, and performance‑tuning skills
Preferred Qualifications
  • Experience with real‑time streaming platforms (Kafka, Kinesis, Pulsar)
  • Knowledge of containerization/orchestration (Docker, Kubernetes)
  • Experience with Infrastructure-as-Code (Terraform, CloudFormation)
Experience

5-8 Years

Compensation

The expected compensation for this role ranges from $60,000 to $135,000.

Benefits

Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post‑offer drug screening, subject to applicable state law.
EEO Statement

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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