Data Engineer

  • Cypress, CA
  • Posted 3 days ago | Updated 7 hours ago

Overview

On Site
USD 105,000.00 - 146,000.00 per year
Full Time

Skills

Cypress
Data Integration
Unstructured Data
Optimization
Collaboration
Workflow
Scalability
Computer Science
Data Science
Mathematics
Data Engineering
Analytics
Informatica
Data Management
Cloud Computing
Programming Languages
Python
R
Big Data
Apache Spark
Apache Hadoop
Apache Kafka
Extract
Transform
Load
NoSQL
Database
Amazon Web Services
Step-Functions
Data Wrangling
Data Quality
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for a skilled Data Engineer to join our team in Cypress, California, specializing in creating scalable and high-performance data integration and analytics solutions. This role involves transforming raw data into actionable insights, utilizing cutting-edge technologies to support business objectives. The ideal candidate will have a strong background in data preparation, optimization, and engineering workflows, along with a collaborative approach to solving complex problems.

Responsibilities:
Design and develop technical solutions for medium-to-high complexity data integrations across multiple platforms.
Collect, clean, and standardize structured and unstructured data to enable efficient analysis.
Build reusable frameworks and pipelines to streamline data preparation and optimization.
Create and maintain data workflows, troubleshooting issues to ensure seamless operation.
Apply statistical and mathematical methods to generate actionable insights from data.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Document processes and workflows, ensuring alignment with organizational standards.
Adhere to governance policies, best practices, and performance standards for scalability and reliability.
Proactively recommend and implement system improvements, including new tools and methodologies.
Support the adoption of innovative technologies to enhance data engineering capabilities.

Requirements

Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
Minimum of 4 years of experience in data engineering and analytics.
Proficient in Informatica Data Management Cloud and programming languages such as Python and R.
Hands-on experience with big data technologies, including Apache Spark, Hadoop, and Kafka.
Expertise in ETL processes and NoSQL databases.
Familiarity with AWS services such as Glue, Lambda, Step Functions, and Athena.
Strong skills in data wrangling, cleansing, and maintaining data quality.
Proven ability to deliver data-driven solutions that create measurable business value.

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