StepUp Solutions, Inc. Logo

StepUp Solutions, Inc.

Data Engineer

Posted 2 Days Ago
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Design, implement, and maintain scalable data infrastructure and real-time processing for analytics platforms. Migrate systems from AWS to on-prem Kafka/Spark, implement data transformations, support production, optimize pipelines, query and analyze data, and build scripts and APIs to operationalize data science work.
The summary above was generated by AI
Company Description

RADIUMONE IS A GLOBAL PROGRAMMATIC AD BUYING PLATFORM

RadiumOne is the 6th largest web property in the U.S. according to comScore

We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.

Based in San Francisco, we are seeking a talented Software Engineering Manager. 

RadiumOne generates first-party data about actual customers — from their behaviors, actions and interests demonstrated across the web and mobile. Then we access tens of billions of real-time impressions each day across the Web, video, social and mobile to reach consumers in real-time no matter where they are. Our intelligent software and methodologies increase the relevance and personalization of ads through sophisticated algorithms that find valuable characteristics, gauge consumer behaviors, and target ads with laser focus to the right audiences

Job Description

RadiumOne is seeking a Data Engineer to join our Data Technology team with the responsibility of designing and implementing scalable data infrastructure, as well as implementing data transformations developed by data scientists as scalable and robust processes. In this role, the successful candidate will be responsible for the following:

Responsibilities Include:

You will take ownership of the data processing portal for the companies two real-time analytics platforms. 

You will be responsible with the migration from the current AWS to our in-house servers (Kafka – Spark) allowing for the portal to become real-time.

You will load, script, and analyze the data, as well as query databases to develop and provide use cases.

Responsible with optimizing, maintenance, and production support of the portal. 

Qualifications

5+ years working in a data intensive environment like a data warehouse or an analytics system.

2+ Years Experience working in distributed data platforms like Hadoop, Hive, Kafka etc. and with distributed data sets. Apache Spark is a nice to have.

Expert in SQL - MySQL preferred and experience in NoSQL is a bonus.

4+ years Experience in Java or Python - Scala is a plus.

Experience building RESTful APIs

Scripting languages like Perl, Shell etc

Experience in agile software development practices (code versioning, Test Driven Development, Unit testing, continuous integration.)

Any domain is fine, but Digital Marketing preferred. 

Local candidates preferred as onsite interviews are a must.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Similar Jobs

13 Hours Ago
Remote or Hybrid
Richmond, CA, USA
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Deliver data engineering and ETL solutions to support client analytics. Build and maintain data pipelines, optimize SQL, design data architecture (star/snowflake models), create BI reports/dashboards, improve data quality, and support client engagements in regulated environments while learning and growing technical and client-facing skills.
Top Skills: Db2ETLIbm DatastageJavaOracle Business IntelligencePythonQlikviewSnowflakeSpotfireSQLSQL ServerUnix
13 Hours Ago
Remote or Hybrid
Richmond, CA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and maintain data pipelines and architectures, apply advanced analytics to generate client insights, develop BI dashboards, collaborate with stakeholders to solve data challenges, and support managed-services engagements while upholding technical and professional standards.
Top Skills: AWSCdcDatastageDb2ETLGoldengateJavaOracle Business IntelligencePythonQlikviewRedshiftSQL ServerWorkload Scheduler
3 Days Ago
In-Office or Remote
San Mateo, CA, USA
165K-350K Annually
Senior level
165K-350K Annually
Senior level
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills: BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account