Senior Data Engineer Blue Ash, OH

Actively Reviewing the Applications

Jobs via Dice

Raipur Full-Time 4–8 years

Posted 3 days ago • Apply by June 11, 2026

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, V-CENTRIX-US LLC, is seeking the following. Apply via Dice today!

We are seeking a Senior Data Engineer with deep expertise in Azure Databricks, Spark, Python, SQL, and distributed data pipeline optimization. This is a fully onsite C2C contract role based in Blue Ash, OH.

Role: Senior Data Engineer

Type: Contract (C2C)

Location & Onsite: Blue Ash, OH (5 days onsite)

Visa: Any visa acceptable

Interview Process: In-person onsite

Team Details: 10 team members; work independently with peer programming sessions throughout the day

Top Skills: Azure Databricks, Python, Spark

Soft Skills: Problem-solving, attention to detail, ability to work independently and collaboratively in an agile team

VERY IMPORTANT DETAILS:

Work location must be local
Interviews will be in person, onsite
Candidates must be willing to come onsite for their interview and work fully onsite with the team
Prescreening includes 3 video questions; candidates must answer using their own knowledge and experience, no AI-generated responses
Include a link to the candidate''s LinkedIn profile with the submittal

Requirements:

Senior experience as a Data Engineer
Strong experience with Azure Databricks, Spark, Python
Strong SQL skills and database experience
Experience monitoring and optimizing Databricks clusters or workflows
Experience working with Azure data services and integrating them with Databricks and enterprise data platforms
Experience building and optimizing distributed data processing systems (partitions, joins, shuffles, cluster performance)
Experience with data pipeline development using tools such as Delta Live Tables (DLT) or Databricks SQL
Experience with orchestration, messaging services, or serverless components (e.g., Azure Functions)
Experience with version control and CI/CD tools such as GitHub and GitHub Actions
Experience using Terraform for cloud infrastructure provisioning
Familiarity with SDLC and modern data engineering best practices
Strong organizational skills with the ability to manage multiple priorities and work independently

Nice to Have:

Experience with data governance, lineage, or cataloging tools (Purview, Unity Catalog)

Responsibilities:

Analyze, design, and develop enterprise data solutions using Azure, Databricks, Spark, Python, SQL
Develop, optimize, and maintain Spark/PySpark data pipelines, addressing performance issues such as data skew, partitioning, caching, and shuffle optimization
Build and support Delta Lake tables and data models for analytical and operational use cases
Apply reusable design patterns, data standards, and architectural guidelines, including collaboration with 84.51° when needed
Use Terraform to provision and manage cloud and Databricks resources (Infrastructure as Code)
Implement and maintain CI/CD workflows using GitHub and GitHub Actions
Manage Git-based workflows for Databricks notebooks, jobs, and data engineering artifacts
Troubleshoot failures and improve reliability across Databricks jobs, clusters, and data pipelines
Apply cloud computing skills to deploy fixes, upgrades, and enhancements in Azure environments
Collaborate with engineering teams to enhance tools, systems, development processes, and data security
Participate in the development and communication of data strategy, standards, and roadmaps
Create architectural diagrams, interface specifications, and design documentation
Promote reuse of data assets and contribute to enterprise data catalog practices
Provide timely support and communication to stakeholders and end users
Mentor team members on data engineering best practices and emerging technologies

This is an excellent opportunity for a highly technical, senior candidate to join data engineering team and work on cutting-edge Azure Databricks and Spark solutions.