Senior Data Engineer - Hybrid in Richmond | ELT/ETL Expert

CEI; Richmond (VA); Híbrido; USD 76.000 - 83.000; Jornada completa

Descripción de la vacante

Computer Enterprises, Inc. (CEI) is seeking a talented Senior Data Engineer to join our client’s dynamic team in Richmond, VA.

This long‑term contract role focuses on designing, building, and optimizing enterprise‑scale data pipelines, with hands‑on ELT work, architecture alignment, and mentoring. The role requires 5–7+ years in data engineering, strong SQL and warehousing background, and experience with cloud/on‑prem data platforms.

Formación

• Advanced SQL, ELT patterns and performance tuning.

Responsabilidades

• Build end-to-end data pipelines and ETL/ELT solutions.
• Apply scalable batch and streaming patterns for data processing.
• Review and optimize data modeling, transformations, and performance.
• Evaluate and integrate tooling and platform capabilities.
• Design and implement scalable streaming pipelines (Kafka, Kinesis, Spark Streaming).
• Lead performance tuning across pipelines and warehouses.
• Ensure pipelines are resilient, observable, and production-ready.
• Implement data quality checks, governance, and security standards.
• Collaborate with governance & DataOps on metadata, lineage, and auditability.
• Translate ambiguous requirements into robust technical solutions.

Conocimientos

SQL

ELT patterns

performance tuning

data warehousing architecture

dimensional modeling

data pipelines

DataOps practices

CI/CD

observability

5 to 7+ years

ETL Development

Educación

Bachelor's or higher in Computer Science/IS/Math

Herramientas

Oracle Exadata

Snowflake

Talend

dbt

Informatica

Python

shell

Denodo

Composite

dremio

Starburst

Cribl

Apache Kafka

Kafka Connect

Spark Streaming

Apache Flink

Descripción del empleo

Computer Enterprises, Inc. (CEI) is seeking a talented Senior Data Engineer to join our client’s dynamic team in Richmond, VA.

This long‑term contract role focuses on designing, building, and optimizing enterprise‑scale data pipelines, with hands‑on ELT work, architecture alignment, and mentoring. The role requires 5–7+ years in data engineering, strong SQL and warehousing background, and experience with cloud/on‑prem data platforms.