Databricks Engineer- Remote

Posted Yesterday
Hiring Remotely in Houston, TX, USA
In-Office or Remote
Senior level
Information Technology
The Role
The role involves designing, developing, and optimizing scalable big data solutions using Databricks and Apache Spark. Responsibilities include ETL/ELT pipeline development, optimizing data architectures, and ensuring data quality in a remote team setting.
Summary Generated by Built In
Job Description

Hi,

 

10 years of experience in IT industry.

 

Job Title: Sr. Databricks Engineer

Location: Remote

Duration: 12 Months Contract 

 

We have below longterm job opening.

If you are interested , Please send your updated resume with below details. 

 

Your current location:

Visa status:

Availability:

Expected rate all inc on c2c /1099 :

 

Job Summary:

We are seeking a highly skilled Sr. Databricks Engineer to design develop and optimize scalable big data and analytics solutions. The ideal candidate will have extensive experience with Databricks Spark cloud-based data platforms and modern ETL/ELT frameworks. This role requires strong expertise in building high-performing data pipelines supporting enterprise analytics and collaborating with cross-functional teams in a remote environment.

 

Must Have Technical/Functional Skills

 

10+ years of overall experience in data engineering or related fields

4+ years of hands-on experience with Databricks and Apache Spark

Strong proficiency in PySpark SQL and performance tuning

Experience with ETL/ELT pipeline development and orchestration

Expertise in Delta Lake data modeling and optimization

Strong experience with cloud platforms such as Azure AWS or GCP

Familiarity with Python or Scala for data engineering tasks

Experience with CI/CD pipelines and DevOps practices

Strong analytical problem-solving and communication skills

Roles & Responsibilities

 

Design develop and maintain scalable ETL/ELT pipelines using Databricks PySpark and Spark SQL

Build and optimize Delta Lake architectures and data workflows

Develop reusable frameworks for ingestion transformation and validation

Collaborate with data architects analysts and business stakeholders to deliver data solutions

Optimize Spark jobs and SQL queries for performance and scalability

Implement data quality monitoring logging and alerting mechanisms

Develop and maintain CI/CD pipelines for Databricks notebooks jobs and workflows

Work with cloud-based storage and compute services

Support production deployments troubleshooting and incident resolution

Ensure security governance and compliance standards are followed

Required Skills & Experience

 

Strong hands-on experience with Databricks Apache Spark and PySpark

Experience with Azure Data Factory AWS Glue or similar orchestration tools

Expertise in SQL query optimization and large-scale data processing

Experience with data lakes data warehouses and modern analytics platforms

Knowledge of Git Jenkins Terraform or similar DevOps tools

Familiarity with Agile and Scrum methodologies

Ability to work independently in a remote setup

Nice to Have

 

Databricks Certification

Experience with Power BI Tableau or other visualization tools

Knowledge of streaming technologies such as Kafka or Spark Streaming

Exposure to machine learning workflows and MLOps

Experience in insurance banking healthcare or retail domains

 

 

"U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time."

 

Thanks & Regards,

Girish Kumar

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • 10+ years of overall experience in data engineering or related fields
  • 4+ years of hands-on experience with Databricks and Apache Spark
  • Strong proficiency in PySpark SQL and performance tuning
  • Experience with ETL/ELT pipeline development and orchestration
  • Expertise in Delta Lake data modeling and optimization
  • Strong experience with cloud platforms such as Azure AWS or GCP
  • Familiarity with Python or Scala for data engineering tasks
  • Experience with CI/CD pipelines and DevOps practices
  • Strong analytical problem-solving and communication skills
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The Company
HQ: Beverly Hills, CA
48 Employees

What We Do

Cystems Logic is gaining a competitive edge in today's economy and its all about speed and flexibility. Companies of small to large size and complexity need to adapt swiftly to evolving global business trends and opportunities. Cystems Logic supports rapid innovation to drive your business process excellence for increased productivity and profitability. We are here to lower to cost of using costly technology at increase Return on Investment (ROI). Our Strength is our talented team with solid foundation in the ERP arena. We are emerging providers of SAP new implementation, maintenance & support for small to large size companies in specific industry domain.

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