Senior Software Engineer, Data Pipeline

Bloomreach

. Develop a reliable, high-throughput data pipeline using Python, Go, MongoDB, GCP, and related technologies .

Posted 11/3/2026full-timeRemote • CzechiaSenior💰 CZK 1,296,000 - CZK 1,620,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing high-throughput data pipelines using Python and Go, with a strong focus on ETL processes and large-scale data ingestion. Proficient in leveraging Google Cloud Platform and related technologies for real-time data processing and infrastructure management.

Highest-signal resume keywords

Python ProgrammingGo ProgrammingETL Pipeline DevelopmentGoogle Cloud PlatformKubernetes

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Hard Skills

Data Pipeline DevelopmentData CleanupData TransformationData LoadingHigh-Throughput ProcessingCode ReviewIncident MitigationMonitoringInfrastructure AutoscalingReal-Time Tracking

Soft Skills

AdaptabilityRemote CollaborationProblem-Solving

Tools & Technologies

MongoDBGoogle BigQueryGoogle DataflowPySparkApache BeamApache KafkaGitLabBigLake TableDataProcFlink

Tech Stack

Tools & technologies

ApacheBigQueryCloudETLGoogle Cloud PlatformKafkaKubernetesMongoDBPySparkPythonRedisSQLGo

About the role

Key responsibilities & impact

Develop a reliable, high-throughput data pipeline using Python, Go, MongoDB, GCP, and related technologies
Improve worker efficiency, monitoring, and infrastructure autoscaling for real-time tracking processing tens of thousands of requests per second
Improve the throughput and reliability of imports involving millions of data rows
Implement integrations with additional data storage systems
Export platform data to Google BigQuery using Google Dataflow, PySpark, and Apache Beam
Run and support production services handling high-volume traffic with Google Cloud Platform and Kubernetes
Review peers’ code and participate in the four-eyes code review process
Work on increasingly complex projects and multi-milestone deliverables
Participate in on-call rotation and mitigate incidents

Requirements

What you’ll need

Experience with Python and a solid grasp of engineering practices
Experience with Go is a big advantage
Experience with ETL pipelines and large-scale data ingestion from SQL and non-SQL sources
Experience with data cleanup, sanitization, transformations, and loading cleaned data into optimized storage
Ability to work effectively in a remote-first environment
Ability to learn and adapt while exploring new technology, navigating a large codebase, and iterating on team processes
Familiarity with Apache Kafka, Kubernetes, GitLab, Google Cloud Platform, Dataflow, PySpark, Apache Beam, BigQuery, BigLake Table, DataProc, Flink, MongoDB, and Redis

Benefits

Comp & perks

A great deal of freedom and trust; no clocking in/out, corporate rules, or long approval processes
Flexible working hours
Virtual-first work with Bloomreach Hubs across three continents
Company events
5 paid days off to volunteer
People Development Program with personal development workshops
Communication coach support
Leader Development Program with feedback, coaching, and follow-up check-ins
$1,500 annual professional education budget for books, courses, certifications, etc.
Employee Assistance Program with counselors
Calm subscription
One additional DisConnect day off each quarter
Sports, yoga, and meditation opportunities
Extended parental leave up to 26 calendar weeks for Primary Caregivers
Restricted Stock Units or Stock Options, depending on role, seniority, and location
Company performance bonus
Employee referral bonus of up to $3,000
Work anniversary rewards and celebrations