Senior Data Engineer — Scalable Pipelines & Data Platforms

SGS Consulting; Sacramento (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

SGS Consulting in Sacramento, CA seeks a skilled Data Engineer to design and build scalable data pipelines and architectures that power analytics across the business.

You will collaborate with cross-functional teams to identify data requirements, develop processing apps, ensure data quality through testing, and support data-driven decision making with technologies such as Hadoop, Spark, Kafka, and cloud platforms (AWS/GCP).

Qualifications

• Bachelor's degree in CS or related field.
• 5+ years of experience as a Data Engineer.
• Strong SQL and programming in Python or Java.
• Experience with Hadoop, Spark, or Kafka.
• Experience with cloud platforms such as AWS or GCP.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Design and develop scalable data pipelines and architectures.
• Work with cross-functional teams to identify and prioritize data requirements.
• Develop and maintain data processing and analytics applications.
• Ensure data quality and integrity through testing and validation.
• Collaborate with data scientists and analysts to support data-driven decision making.

Skills

SQL

Python or Java

Big data technologies

Data modeling

Cloud platforms AWS/GCP

Problem solving

Attention to detail

Education

Bachelor's degree in Computer Science or related field

5+ years of experience as a Data Engineer

Tools

Hadoop

Spark

Kafka

Tableau

Unidash

AWS

GCP

Job description

SGS Consulting in Sacramento, CA seeks a skilled Data Engineer to design and build scalable data pipelines and architectures that power analytics across the business.

You will collaborate with cross-functional teams to identify data requirements, develop processing apps, ensure data quality through testing, and support data-driven decision making with technologies such as Hadoop, Spark, Kafka, and cloud platforms (AWS/GCP).