About Persistent:

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth.

Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.

About The Role

Persistent is looking for a Senior Data Platform Engineer to help build and scale production-grade data platforms for a Healthcare & Life Sciences project.

You’ll work with Kafka, Flink, CDC, SQL, cloud technologies, and containerized environments, building high-volume streaming pipelines and solving complex distributed data processing challenges at scale.

If you’re passionate about real-time data, modern data platforms, and building technology that supports the Healthcare & Life Sciences space, we’d love to hear from you.

Role: Senior Data Platform Engineer

Location: Mexico

Mode of Work: Hybrid (GDL) / Remote

Experience: 5+ Years of Experience

Job Type: Full Time Employee

What You'll Do:

- Own pipeline slices end-to-end:



data ingest into a distributed streaming platform, stream-processing transform jobs, and projection of clean, contract-compliant records into downstream stores.
- Onboard new data domains and production entities — legacy schema mapping, streaming topic contracts, and stream-processing job development.
- Build and run stream-processing jobs in the cloud — transforms along the change-data-capture → streaming → processing path and batch ingestion via managed big-data services — including checkpointing, failure recovery, and job-level runbooks.
- Deploy and troubleshoot streaming and processing workloads on a container orchestration platform — job lifecycle and day-to-day application-level troubleshooting, in partnership with SRE on the underlying cluster.
- Partner with downstream teams on data contracts: schema ownership, where consumers read from, and clear boundaries between the ETL pipeline and the teams that serve on top of it.

Expertise You'll Bring:

Minimum Qualifications

- 5+ years experience building production grade streaming pipeline systems.
- Hands-on experience with a distributed streaming/messaging platform (Kafka + Flink/Spark or similar): topic and partition design, consumer group semantics, compaction, and schema-aware serialization.
- Production experience with a distributed stream-processing engine: SQL or DataStream-style jobs, state management, checkpointing, and operational debugging of long-running jobs.
- CDC ingestion familiarity — WAL or log-based change capture into a streaming platform.
- Demonstrated experience with SQL and schema design across relational sources.




- Demonstrated experience deploying and troubleshooting streaming workloads on a container orchestration platform — basic troubleshooting of deployments and running jobs.
- Track record shipping observable, testable pipeline components — health checks, smoke gates, benchmark-driven validation.
- Ability to work independently on assigned roadmap items while coordinating with cross-functional partners on contract boundaries.

Preferred Qualifications

- Direct, hands-on experience with Apache Kafka and Apache Flink
- Familiarity with Debezium CDC capture.
- Experience projecting streaming data into an OLAP or analytical serving engine (StarRocks, ClickHouse, Druid, Pinot, or similar).
- Awareness of Gov Cloud deployment constraints and data residency considerations.
- Experience with multi-tenant SaaS data workloads (tenant partitioning, hot-partition skew).

Benefits:

- 30 days Christmas bonus (Aguinaldo)
- 13% Saving fund, capped to the law limit.
- 12% Grocery coupons, capped to the law limit.
- 12 vacation days first year + 6 floating days – number of vacation days increase according to seniority.
- Annual performance evaluation with rewards and recognitions.
- Up to USD 200 pre-approved annually for certifications relevant to the employee’s role.
- Free courses available at internal platforms.
- Major medical insurance (Spouse and children Included)
- Minor medical insurance (Spouse and children Included)
- Dental Insurance (Spouse and children Included)
- Visual Insurance (Spouse and children Included)
- Life insurance.
- Preferential price on car insurance (car fleet).

Our company fosters a values-driven and people-centric work environment that enables our employees to:

- Accelerate growth, both professionally and personally.
- Impact the world in powerful, positive ways, using the latest technologies.
- Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
- Unlock integral opportunities to work and learn with the industry’s best.

Let’s unleash your full potential at Persistent - persistent.com/careers

📌 Senior Data Engineer (Ciudad de México)
🏢 Persistent Systems
📍 Ciudad de México