Databricks developer

DS Technologies Inc

Atlanta (GA)

On-site

USD 120,000 - 150,000

Part time

14 days+

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Job summary

A leading IT services firm in Atlanta, GA, is looking for a Databricks Developer to support the development of data pipelines and analytics solutions using Databricks. Candidates should have over 8 years of experience in data engineering with strong skills in Apache Spark, Python, and SQL. This contract-only position requires collaboration with cross-functional teams and deep expertise in cloud data environments. Don't miss the chance to be part of a transformative IT initiative.

Qualifications

  • 8+ years of relevant experience in data engineering or analytics.
  • Hands-on experience with Databricks and Apache Spark.
  • Strong programming skills in Python and SQL.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
  • Implement data ingestion, transformation, and validation processes for large datasets.
  • Collaborate with data engineers, data scientists, and business stakeholders.

Skills

Databricks
Apache Spark
Python
SQL
Cloud data environments
Data engineering

Job description

About US

We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

Job Title / Location / Position Type

Databricks Developer • Atlanta, GA (Onsite) • Contract Only W2

Job Description

We are seeking a Databricks Developer to support the development and maintenance of data pipelines and analytics solutions using the Databricks platform. The ideal candidate will have strong experience with Apache Spark, Python/SQL, and cloud‑based data environments.

Role & Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark
  • Implement data ingestion, transformation, and validation processes for large datasets
  • Develop and optimize Spark jobs using Python and SQL
  • Work with cloud data platforms (AWS, Azure, or GCP) for data storage and processing
  • Ensure data quality, performance, and reliability of data pipelines
  • Troubleshoot and resolve data processing and production issues
  • Collaborate with data engineers, data scientists, and business stakeholders
  • Follow best practices for coding standards, version control, documentation, and deployment
  • Support enhancements and ongoing maintenance of analytics solutions
Required Skills & Experience
  • 8+ years of relevant experience in data engineering or analytics
  • Hands‑on experience with Databricks and Apache Spark
  • Strong programming skills in Python and SQL
  • Experience working in cloud data environments
  • Strong analytical and problem‑solving skills
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