Senior Data Engineer
$75000 - $ per year | Mexico City, CDMX | On-Site | Permanent
Exciting Senior Data Engineer Opportunity with Thriving Health Tech Organization!
We have built a customizable platform for health and wellness professionals to allow them provide the best care and treatment for their passions from start to finish. To keep it simple, our platform helps clinicians run and grow the practices with ease of service so they can concentrate on the most important thing... patients!
Best in class healthcare, dental, vision, benefits across the board!
Hybrid Remote!
Flexible Time Off in addition to 15 paid holidays!
Home Office and Internet Stipends!
We're seeking a Senior Data Engineer to take ownership of the next evolution of our data ecosystem—from ingestion pipelines to analytics platforms. This role sits at the intersection of technology, strategy, and insight, empowering better decisions across the business through scalable data infrastructure and intuitive access to information.
Your work will directly influence how teams across the organization—from Product to Analytics—leverage data for performance, prediction, and growth.
Collaborate with Product, Analytics, and Engineering to design and implement scalable data systems that unlock value from diverse sources including databases, event streams, and external platforms
Define and drive the technical roadmap for data engineering with both immediate and long-term scalability in mind
Standardize metrics and data definitions to align teams across the organization
Enable external data products such as dashboards, self-serve analytics, and in-product intelligence
Manage the complete data lifecycle—from ingestion and transformation to consumption and visualization
Build tools and frameworks that enhance transparency and trust in business performance reporting
Deploy and maintain robust, cloud-based data infrastructure (AWS preferred)
Establish and enforce frameworks for data quality, governance, and security
Champion best practices in data engineering and continuous improvement
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
~7+ years of professional experience in data or analytics engineering
~ Proven ability to translate business needs into technical data solutions in fast-paced, cross-functional environments
~ Expertise in relational, dimensional, and semantic data modeling
~ Hands‐on experience designing, implementing, and maintaining modern data warehouses (Snowflake preferred)
~ Advanced SQL skills, including optimization and complex transformations
~ Proficiency with orchestration and ingestion tools such as Airflow, Prefect, Airbyte, Fivetran, or Kafka
~ Strong experience with AWS (S3, RDS, Redshift, etc.)
~ Familiarity with Terraform, Docker, and containerized workflows a plus
~ Skilled in handling structured, semi-structured (JSON), and columnar data formats (Parquet, ORC)
~ Proficient with BI tools such as Looker, Tableau, or Sisense
~ Proficient in Python and Unix/Linux scripting
~ Experience with real-time streaming (Kafka, AWS Kinesis)
Familiarity with Dev Ops tooling (Terraform, Kubernetes, Docker)
Experience in Agile (Scrum or Kanban) environments with iterative sprint-based delivery
Strong communication and change management skills in data-driven organizations
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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