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.