Senior Data Engineer (Python + Spark)
We're looking for a Senior Data Engineer with strong Python skills and hands-on Spark infrastructure experience to help run and evolve our data platform operations. You'll partner closely with engineers across the team and with Data Scientists, providing support and building processes that keep our large-scale data infrastructure running smoothly and reliably. This role is ideal for someone who enjoys owning platform reliability end-to-end - from pipeline design to production observability.
Essential functions
Partner with engineers across the team to operate and evolve the data platform
Work closely with Data Scientists, providing technical support and ensuring smooth day-to-day operations
Build, maintain, and improve CI/CD pipelines for data workflows
Manage and optimize Spark infrastructure supporting a high volume of jobs
Manage Kubernetes resources for on-prem workloads
Implement and maintain authentication and data governance practices
Handle file compaction and maintenance across HDFS and object stores
Design and maintain partitioning strategies, schemas, and type-safe data models using table formats like Iceberg/Hive
Set up and maintain observability tooling (Prometheus, Grafana, OpenTelemetry) and participate in on-call rotations
Collaborate cross-functionally as a strong team player across engineering and data science teams
Qualifications
Strong hands-on expertise with CI/CD pipelines
Solid experience with Spark infrastructure at scale
Background in distributed systems
Experience managing Kubernetes resources
Practical knowledge of authentication and data governance principles
Familiarity with file compaction and maintenance on HDFS or object stores
Strong grasp of data engineering fundamentals: partitioning, schema design, type safety, and table formats (Iceberg, Hive)
Experience with observability and on-call practices, using tools like Prometheus, Grafana, and OpenTelemetry, including alerting setup
Proficiency in Python and Airflow
Experience with Kubernetes (on-prem) and Docker
Familiarity with Trino/Presto
Strong communicator and collaborator, comfortable working cross-functionally
Would be a plus
Experience with Scala
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
