Can I apply directly for this job on this page?

Yes, you can begin your application on this page using a quick form. You'll then be redirected to the employer's career site to complete the full application process.

What is the role of a Data Engineer (Databricks) | SR at Jobgether?

The Data Engineer (Databricks) | SR position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Data Engineer (Databricks) | SR job located?

Brazil, Indiana, 47834, United States

What type of employment is offered for this Data Engineer (Databricks) | SR role?

Full-time or part-time position

What is the expected salary for this Data Engineer (Databricks) | SR job?

Compensation will be discussed during the hiring process.

Data Engineer (Databricks) | SR job near me in Brazil, Indiana at Jobgether | Jobs and Employment

Data Engineer (Databricks) | SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks) | SR based in Brazil.

This senior-level role sits at the core of modern data-driven architecture, supporting the design, development, and evolution of scalable data platforms in a cloud environment. You will work with large-scale data pipelines and distributed processing systems, ensuring that data is reliable, accessible, and ready for advanced analytics and business decision-making. The position involves hands-on work with Azure, Databricks, PySpark, and SQL, as well as close collaboration with engineering teams to translate business needs into robust technical solutions. You will also play a key role in maintaining performance, stability, and security across data ecosystems. Beyond development, the role emphasizes operational excellence, including monitoring, automation, and continuous improvement of data workflows. This is a highly technical environment where data quality, resilience, and scalability are central to everything delivered.

Accountabilities:

Collaborate with data engineering teams to understand business and technical requirements, translating them into efficient and scalable data solutions.
Develop, maintain, and optimize data pipelines and platforms using Azure, Databricks (PySpark), Python, Data Lake architectures, and SQL.
Implement data processing and transformation logic using Python, including Pandas for structured data analysis and ElementTree for XML manipulation and integration of heterogeneous data sources.
Ensure system availability, stability, and performance by monitoring, troubleshooting, and continuously evolving data solutions in production environments.
Support data security, governance, and compliance requirements through automation, proactive management, and continuous improvement practices.
Implement data quality controls, testing frameworks, and monitoring strategies to ensure integrity and reliability of data assets.
Maintain comprehensive technical documentation for developed processes, architectures, and solutions.
Provide production support, including corrective actions and change management (CHG) follow-up to ensure smooth operational delivery.

Requirements

Solid experience with SQL (including regex usage), Databricks, PySpark, and Python for data engineering and analytics workflows.
Strong knowledge of data manipulation techniques, especially text processing and regular expressions for complex data parsing.
Experience with SQL data modeling and foundational understanding of distributed computing concepts.
Hands-on experience working with Data Lake architectures and large-scale data environments.
Ability to operate in high-responsibility production environments, including on-call availability after business hours and weekends when required.
Strong problem-solving mindset, attention to detail, and ability to work in collaborative, fast-paced engineering teams.
Experience with cloud data platforms (particularly Azure) and modern data engineering practices is highly valued.

Benefits

Competitive compensation package aligned with senior-level expertise
Opportunity to work on large-scale, cloud-native data platforms using cutting-edge technologies
Exposure to advanced AI, data engineering, and digital transformation initiatives
Flexible work arrangements depending on project and team structure
Career development opportunities within a global, innovation-driven environment
Access to modern tooling and AI-assisted engineering ecosystems
Collaborative and highly technical work culture focused on continuous learning and impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

Data Engineer (Databricks) | SR in Brazil, Indiana at Jobgether

Explore Related Opportunities

Job Description

Scan to Apply

Job Location

Frequently asked questions about this position

Similar Jobs In Brazil, Indiana

Product Engineer (Platform)

Cloud Specialist (AWS Migration)

Senior Site Reliability Engineer (Remote Build)

Model-Based Systems Engineer (MBSE)

GIS Analyst