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Roadie · 3 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

6+ years exp

Roadie, a UPS company, is a leading logistics and delivery platform that helps businesses tackle the complexities of modern retail. They are seeking a Senior Data Engineer to design, build, and optimize the pipelines and infrastructure that power analytics, machine learning, and product decision-making across the company.

AppsAutomotiveInternetShippingSoftware

No H1B

Responsibilities

Architect, build, and scale real-time and batch ETL/ELT pipelines that ensure consistent, accurate, and reliable data across the organization

Design and develop the underlying data platform and infrastructure, including streaming systems, orchestration frameworks, observability, CI/CD automation, and cloud environments

Partner with engineering, data science, and business teams to deliver high-impact data products and enable data-driven decision making Own production readiness and operational excellence for data systems, including monitoring, troubleshooting, performance tuning, and root-cause analysis

Drive best practices around data quality, lineage, documentation, testing, and governance across the engineering org

Evaluate and implement emerging technologies to enhance scalability, reliability, developer velocity, and cost efficiency

Contribute to long-term platform architecture, including data modeling standards, storage strategies, compute design, and data product lifecycle management

Qualification

Data EngineeringETL/ELT pipelinesCloud infrastructureCI/CD toolingData warehousingPythonKafkaDockerAirflowData governanceCollaborationProblem-solvingCommunication

Required

Bachelor's degree in Computer Science or related field, or equivalent practical experience

6+ years of experience in Data Engineering or backend engineering roles with significant data focus

4+ years building data infrastructure and distributed platforms using streaming frameworks such as Kafka, Kinesis, Flink, or Spark Structured Streaming

4+ years working with CI/CD tooling to automate builds, testing, and deployments

4+ years operating DevOps tooling such as Docker, Kubernetes/EKS, Helm, Terraform, etc., with ownership of end-to-end deployment for data systems

4+ years of development experience with languages/frameworks such as Python, Scala, Spark, PySpark, Java, or Hadoop

4+ years developing and optimizing dbt models, implementing best practices, and ensuring excellence through testing, version control, and documentation

4+ years hands-on work with orchestration tools (Airflow/Dagster/Luigi)

Deep understanding of data warehousing (Snowflake, BigQuery, Redshift) and streaming systems (Kafka, Kinesis, Pub/Sub)

Experience with data governance, observability, and monitoring frameworks

Experience with OLAP datastores such as Clickhouse/Apache Pinot/DuckDB

Familiarity with BI and visualization tools such as Redash, Superset, Tableau, Lightdash, or Power BI

Experience scaling production systems in fast-paced or high-growth environments

Experience participating in on-call rotations for data or infrastructure systems