Logo
Stefanini, Inc

Data Engineer

Stefanini, Inc, San Francisco, California, United States, 94199

Save Job

Job Details

Information Technology — Data Engineer — San Francisco, CA Posted: 9/30/2025 Job Description Job ID#: 61790 Job Category: Information Technology Position Type: Contract Duration: Long term Remaining Positions: 3 Overview

Stefanini Group is hiring! Stefanini is looking for a Data Engineer for various locations across the USA (Hybrid). For quick apply, please connect with Prakhar Goel: 248 263 5255 / Prakhar.goel@stefanini.com W2 Candidates Only! Position Summary

As a Data Engineer, this CW will be responsible for collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable insights. They will work across multiple platforms to ensure that data pipelines are scalable, repeatable, and secure, capable of serving multiple users. Responsibilities

Design, develop, and maintain robust and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted, and quality data from disparate sources into our Common Data Platform. Actively participate in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team. Deliver high-quality data products and services following Safe Agile Practices. Proactively identify and resolve issues with data pipelines and analytical data stores. Deploy monitoring and alerting for data pipelines and data stores, implementing auto-remediation where possible to ensure system availability and reliability. Employ a security-first, testing, and automation strategy, adhering to data engineering best practices. Collaborate with cross-functional teams, including product management, data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools. Keep up with the latest trends and technologies, evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies. Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. 2+ years' experience with tools such as Databricks, Collibra, and Starburst. 3+ years' experience with Python and PySpark. Experience using Jupyter notebooks, including coding and unit testing. Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling). 2+ years of experience with a modern data stack (Object stores like S3, Spark, Airflow, Lakehouse architectures, real-time databases) and cloud data warehouses such as Redshift, Snowflake. Overall data engineering experience across traditional ETL & Big Data, either on-prem or Cloud. Data engineering experience in AWS (any CFS2/EDS) highlighting the services/tools used. Experience building end-to-end data pipelines to ingest and process unstructured and semi-structured data using Spark architecture. Note: Listed salary ranges may vary based on experience, qualifications, and local market. Some positions may include bonuses or other incentives. Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those conversations will involve a description of the job for which you have applied, the process including interviews, and job offers. About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises worldwide. Our presence spans the Americas, Europe, Africa, and Asia, with more than four hundred clients across various markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM Level 5 IT consulting company with a global presence. Pay Range

$102.00 - $107.00

#J-18808-Ljbffr