Senior Data Engineer

Company DescriptionM3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more.
Since our inception in **, we've seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.
Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research.
M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.
Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare.
We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career.
Embrace the chance to drive change with M3 USA.
Due to our continued growth, we are hiring for a Senior Data Engineer (SQL DBA) at M3 Global Research, an M3 company.
About the Business Unit: M3 Global Research, part of M3 Inc., provides the most comprehensive and highest quality market research recruitment and support services available to the industry with relationships reaching respondents in more than 70 countries worldwide.
M3 Global Research maintains ISO * and **
* certifications with the highest quality data collection and project management capabilities that cover the spectrum of quantitative and qualitative techniques utilized today.
M3 services incorporate all of the most advanced statistical and attitudinal methodologies allowing clients to provide world-class offerings and support services to their end-client customers throughout multiple industry sectors.

Job Description
M3 Global Research, an M3 company, is seeking a Senior Data Engineer with SQL DBA expertise to join our data engineering team.
This role will primarily focus on database administration (DBA) tasks such as optimization, performance tuning, and security.
The ideal candidate will have strong SQL database administration expertise.
They will be responsible for understanding business needs, prioritizing work, leading daily standups, and effectively communicating technical solutions to stakeholders.
While direct Power BI development is not required, the candidate should be able to guide and support the team's work and ensure alignment with business objectives.
Primary DBA

Responsibilities:
Manage and optimize databases (SQL Server, PostgreSQL, Oracle) for performance, security, and availability.
Design and maintain database schemas, indexes, and partitions to support scalability and efficiency.
Perform database monitoring, backup, recovery, and disaster recovery planning.
Implement security best practices, including access control, encryption, and auditing.
Troubleshoot database performance issues and optimize query performance.
Ensure compliance with data governance, security policies, and industry standards.
Team

Responsibilities:
Participate daily standups, prioritize tasks, and ensure you are aligned with business needs.
Translate business requirements into actionable data engineering tasks.
Work closely with cross-functional teams to ensure that Power BI and data solutions meet business objectives.
Mentor team members and drive best practices in data management and reporting.
QualificationsCompetencies:Strong SQL database administration expertise (performance tuning, security, backup/recovery).
Excellent communication and leadership skills to work with both technical and non-technical teams.
Ability to prioritize and manage a team's workload while driving business objectives.
Problem-solving mindset with a strong attention to detail.
AI and Automation ExpectationsStrong hands-on experience with modern AI models and developer tooling to improve software delivery speed and quality.
Ability to use AI effectively for SQL performance tuning, database reliability validation, migration planning, and operational runbook automation.
Experience applying AI to testing workflows, including test scenario generation, regression coverage expansion, and edge-case identification.
Proven ability to create practical automation that reduces manual effort while maintaining quality, security, and auditability.
Comfortable evaluating AI output quality, selecting the right model/tool for the task, and using secure patterns for sensitive data.
Track record of measurable efficiency gains (faster cycle times, improved stability, reduced operational toil, or better delivery predictability).
Engagement ModelThis role will begin as a contract engagement with a planned path to full-time conversion based on performance, impact, and organizational need.
We are looking for someone who can deliver quickly in a hands-on environment and grow into long-term technical leadership.
Additional InformationWe are currently targeting candidates located in Brazil who ar