Jobgether is looking for a Senior Data Engineer to design, develop, and maintain robust, scalable data pipelines and analytics platforms that empower enterprise decision-making. You will collaborate closely with software engineering, AI/ML, DevOps, and cybersecurity teams to deliver high-quality data solutions across the full data lifecycle.
What You'll Do
- Design, develop, and maintain end-to-end data pipelines and data stores supporting enterprise analytics, AI/ML, and operations.
- Monitor, analyze, and optimize the performance, stability, and efficiency of data services.
- Collaborate with peers across software engineering, AI/ML, DevOps, and analytics teams.
- Guide, mentor, and support engineers, BI developers, and data analysts.
- Implement infrastructure, alerting, and monitoring frameworks to ensure high-quality data delivery.
- Support internal and external data consumers, including business-critical vendors, through data integration, APIs, and SFTP workflows.
What We're Looking For
- Bachelor’s degree in Computer Science, Information Systems, or related field (or demonstrated equivalent experience).
- 1–5 years of professional experience in data engineering or related technical roles.
- Proficiency in programming with Python and/or Scala.
- Strong experience with structured (SQL) and unstructured (NoSQL) data management; Redshift experience is a plus.
- Familiarity with data visualization principles and tools such as Power BI or Tableau.
- Experience with cloud-native technologies and services such as AWS S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform.
- Understanding of software development lifecycle, version control (git), and infrastructure-as-code principles.
- Excellent communication skills and ability to work independently in a remote team environment.
- Strong problem-solving skills, attention to detail, and commitment to professional growth.
Nice to Have
- Experience with Infrastructure as Code (Terraform) development.
- Familiarity with enterprise-scale database modeling and feature stores.
- Prior experience mentoring or coaching technical peers.
Technical Stack
- Languages: Python, Scala, SQL, NoSQL
- Databases & Tools: Redshift, Power BI, Tableau
- AWS Services: S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue
- Infrastructure: Terraform, git
Team & Environment
You will collaborate cross-functionally with software engineering, AI/ML, DevOps, and cybersecurity teams.
Benefits & Compensation
- Competitive salary paid in USD.
- Fully remote position with flexible working schedule within US time zones.
- Opportunity to work on data solutions in a large enterprise environment.
- Exposure to cross-functional teams and collaboration across software engineering, AI/ML, and analytics.
- Professional growth opportunities in data engineering, architecture, and leadership development.
- Participation in a culturally diverse and inclusive remote team.
Work Mode
This is a fully remote position open to candidates based in Latin America.
Jobgether is committed to building a culturally diverse and inclusive team. We are an equal opportunity employer.




