Data Engineer
Company: Software Resources
Location: San Francisco
Posted on: April 1, 2025
Job Description:
Software Resources has an immediate job opportunity for a Data
Engineer with a major corporation in San Francisco, CA
(hybrid).Duration: 9 month(s)Pay Rate: $75 - $83/hr DOEFocus: SQL
Knowledge, workflow management (Airflow tool), and Machine Learning
Knowledge specifically feature. Understanding data inputs into the
model and feature analysis. Feature Engineering. Training data set
composition.Department Overview:Applied Machine Learning Engineers,
Data Engineers, and Data Scientists on the Streaming Machine
Learning and Innovation team develop and maintain recommendation
and personalization algorithms for Streaming's suite of streaming
video apps. As a member of this team, you will collaborate across
Engineering, Product, and Data teams to apply machine learning
methods to meet strategic product personalization goals, explore
innovative, cutting-edge techniques that can be applied to
recommendations, and constantly seek ways to optimize operational
processes.Our team is---
- A group of engineers and data scientists with diverse expertise
delivering solutions together.
- Collaborative and dynamic.
- Embracing agile practices.
- Using continuous integration/automated testing.
- Led by startup veterans.Required Qualifications:
- 2+ years of data engineering experience
- Deep knowledge of the Python data ecosystem
- Great coding and problem-solving skills
- Experience in building large datasets and scalable
services
- Experience deploying and running services in AWS and in
engineering big-data solutions using technologies like Databricks,
EMR, S3, Spark, and Docker
- Excellent communication and people engagement skillsPreferred
Qualifications:
- Experience with Pyspark to perform data transformations,
feature engineering, data analysis, and ML training data
generation
- Experience building streaming pipelines using Kafka, Spark, or
Flink
- ML algorithmic and systems
knowledge/experienceResponsibilities:
- Partner with technical and non-technical colleagues to
understand ML algorithm feature, data, and workflow
requirements.
- Implement necessary feature analysis, new features, training
datasets and related workflows and monitoring metrics and
services
- Work with Engineering teams to collect required data from
internal and external systems
- Develop and maintain ETL routines using orchestration tools
such as Airflow
- Collaborate with machine learning practitioners to design and
build model and data forward solutions
- Deploy scalable streaming and batch data pipelines to support
petabyte scale datasets
- Enforce common data design patterns to increase code
maintainability
- Create ETL architecture designs and conduct reviews
- Perform ad hoc data analysis and maintenance as necessary
- Partner with team leads to identify, design, and implement
internal process improvements
- Drive and maintain a culture of quality, innovation, and
experimentation
- Work in an Agile environment that focuses on collaboration and
teamworkRequired Education:Bachelor's degree or relevant years of
work experienceAbout Software ResourcesSoftware Resources, founded
more than 3 decades ago, is a trusted staffing partner specializing
in Technology (IT, Creative, & Marketing), Finance, & Accounting
placements. We work with companies nationwide that need skilled
professionals and connect them with candidates like you looking for
the right opportunity.We are always looking for professionals at
all experience levels and in various specialties to meet our
clients' hiring needs. As a member of our team, you will have
access to benefits including medical, dental, and vision coverage,
a 401(k) with company match, short-term disability, life insurance
with AD&D.If this position interests you, we encourage you to
apply. You can view all our job openings at Software Resources
Careers.
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Keywords: Software Resources, San Francisco , Data Engineer, Engineering , San Francisco, California
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