[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. GlobalLogic is a digital engineering company that helps brands design and build innovative products, platforms, and digital experiences. The Senior Data Engineer will build and operate production-grade batch and streaming data pipelines, lakehouse and Snowflake integrations, analytical models, monitoring, security controls, and deployment processes while supporting production data platforms.

Responsibilities

• Build and operate production-grade batch and streaming data pipelines across SQL Server, cloud applications, device/event streams, Customer Relationship Management systems, and third-party sources
• Develop ingestion, transformation, and enrichment pipelines using Apache Flink, Kafka, Change Data Capture, SQL, and Python/Java/Scala
• Implement lakehouse data layers across landing, raw, conformed, and consumption zones using Apache Iceberg and Trino
• Build dimensional and analytical models for entities such as buildings, tenants, credentials, devices, and people
• Implement robust handling for Change Data Capture, late-arriving data, retries, backfills, replay, schema evolution, and data reconciliation
• Build and maintain integration between the lakehouse and Snowflake, including Iceberg-backed/external tables, secure sharing, and downstream data contracts
• Develop automated data-quality checks, pipeline monitoring, lineage, freshness alerts, and operational dashboards
• Troubleshoot and resolve production data issues, pipeline failures, performance bottlenecks, and data-quality problems
• Optimize SQL queries, storage layouts, partitioning, clustering, compute utilization, and overall platform cost
• Implement security controls including role-based access, row/column-level security, masking, and protection of sensitive data
• Build and maintain Continuous Integration and Continuous Deployment pipelines, automated testing, infrastructure-as-code, and environment promotion processes
• Participate in production support, incident resolution, Root Cause Analysis, deployment, and on-call activities
• Work closely with Product, Application Engineering, Quality Assurance, DevOps/Site Reliability Engineering, Analytics, and globally distributed engineering teams
• Contribute to technical design decisions and documentation while remaining primarily hands-on in implementation and production delivery

Skills

• • 6+ years of hands-on experience in data engineering, data warehousing, or data platform development
• • Strong production experience building and supporting end-to-end data pipelines
• • Expert SQL, including complex queries, query-plan analysis, and performance tuning
• • Strong development skills in Python, Java, or Scala
• • Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi
• • Experience with distributed query technologies such as Trino, Presto, or Spark SQL
• • Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management
• • Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium
• • Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts
• • Experience with Kubernetes, containers, Continuous Integration and Continuous Deployment, and infrastructure-as-code
• • Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms
• • Ability to independently troubleshoot complex production issues and drive them through resolution
• • Bachelor's or Master's Degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
• • Experience with multi-tenant Software as a Service data platforms and customer data isolation
• • Experience integrating open lakehouse platforms with Snowflake
• • Azure cloud experience
• • Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset
• • Experience with data governance, cataloging, masking, and access-control frameworks
• • Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology
• • Experience using Artificial Intelligence-assisted engineering tools to accelerate data development

Benefits

• Exciting projects using the latest technologies and market-defining products
• Collaborative environment with opportunities to collaborate with highly talented people in global centers or client facilities
• Flexible work schedules and opportunities to work from home
• Continuing education classes and professional certification and training in technical, soft skills, language, and communication skills
• Additional learning opportunities through international knowledge exchanges
• Health and life insurance
• Short-term and long-term disability insurance
• Flexible spending accounts
• PTO and holidays

Company Overview

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