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Large-Scale Data Platforms Engineer - #26-23263

U.S. Tech Solutions Inc.

Remote • 2d ago

Easy Apply

Contract

$75 - $80

Platforms Engineer

Marathon Petroleum Company

San Antonio, Texas • Today

Full-time

Principal Software Engineer-Platforms

Arcadia

Remote • Today

Full-time

USD 250,000.00 - 350,000.00 per year

Lead Software Engineer - Digital Platforms

Stand Together Chamber of Commerce

Remote • 2d ago

Full-time

165000 - 195000

Principal Engineer, Data Platforms (Architecture & Ingestion)

CVS Health

Remote or New Jersey • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Sr. Software Engineer - AI Platforms and Automation

Intelligent Medical Objects, Inc.

Remote or Chicago, Illinois • 13d ago

Full-time

USD 140,000.00 - 200,000.00 per year

Sr. Software Engineer - AI Platforms & Automation

Intelligent Medical Objects, Inc.

Remote or Chicago, Illinois • 13d ago

Full-time

USD 140,000.00 - 200,000.00 per year

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI Data Engineer, Data Platforms

EPAM Systems

Remote • Today

Full-time

Lead Engineer, Data Platforms

Dutch Bros

Remote or Tempe, Arizona • Today

Full-time

Engineering Capability Leader- API

Apex Systems

San Antonio, Texas • Today

Easy Apply

Full-time

$168,642 - $252,964

Platform Engineer

Defense Unicorns

San Antonio, Texas • Today

Full-time

USD 123,250.00 - 166,750.00 per year

AI Platform Engineer

The Intersect Group

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Platform Engineer Team Lead

J VERS LLC

San Antonio, Texas • Today

Full-time

USD 131,300.00 - 237,350.00 per year

VP Developer Platform Engineering - Remote

Experian

Remote or Costa Mesa, California • Today

Full-time

USD 250,000.00 - 350,000.00 per year

Cloud Engineer - Journeyman

ASM Research

San Antonio, Texas • Today

Full-time

VP, Infrastructure Engineering

HubSpot

Remote • Today

Full-time

USD 401,895.00 - 643,005.00 per year

Principal AI Infrastructure Architect

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 190,000.00 - 265,000.00 per year

Principal Database Engineer - SQL Server & AI Data Infrastructure

WEX Inc

Remote • Today

Full-time

USD 165,800.00 - 204,400.00 per year

Platform Engineer

System One

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Must be Minnesota Resident Only || Product Data Manager || 1099/W2 Role

V.L.S. Systems, Inc

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

Data Product Manager

Zfinity Global

Remote • 15d ago

Easy Apply

Contract

70 - 75

Principal Platform Engineer

Ralliant

Remote • Today

Full-time

USD 148,900.00 - 276,500.00 per year

Data Product Manager

OP Consulting Group LLC

Remote • 16d ago

Easy Apply

Contract

Depends on Experience

Platform Engineering Manager

ZocDoc

Remote • Today

Full-time

USD 210,000.00 - 270,000.00 per year

Platform Engineer

ElevaIT Solutions

Remote or Corning, New York • Today

Contract

$87.25

Platform Engineer

Akshaya Inc

Remote • 20d ago

Easy Apply

Contract

Depends on Experience

Platform Engineer

Synergy Business Innovation & Solutions Inc

Remote • Today

Full-time

USD 102,298.00 - 146,140.00 per year

Software Engineer

QUANTUM TECHNOLOGIES LLC

Remote • Today

Easy Apply

Full-time

$80 - $90

Platform Engineer

Kforce Technology Staffing

Remote or West Palm Beach, Florida • Today

Full-time

$90,000 - $100,000 annually

Job Details

Skills

AWS
AZURE
GCP
DATA SET
DATA-SET

Summary

Duration: 12 months contract

Job Description:

We are seeking a Senior Data Engineer to design, build, and operate highly scalable data platforms supporting a large, high-traffic digital business. The role involves massive datasets, complex data flows, and business-critical analytics workloads, where performance, reliability, scalability, and automation are essential.
The ideal candidate has hands-on experience building and operating production-grade data pipelines processing billions of rows/records, with strong expertise across distributed data processing, orchestration, data modeling, monitoring, and optimization.
This is not a dashboard-focused or basic ETL role. We are looking for an engineer who can take complex data problems from business requirements → architecture → pipeline development → data modeling → production deployment → monitoring and optimization, while ensuring high performance, reliability, and scalability.

Responsibilities:

Design and implement scalable, production-grade data pipelines capable of processing billions of rows/records across multiple data sources.
Build reliable data ingestion, transformation, processing, and storage workflows for large-scale analytical and operational use cases.
Develop and optimize distributed data processing solutions using technologies such as Apache Spark.
Build and manage workflow orchestration using Apache Airflow or similar platforms.
Design data pipelines with strong focus on performance, scalability, reliability, recoverability, and operational efficiency.
Monitor production pipelines, identify bottlenecks and failures, and proactively improve data reliability, pipeline uptime, and processing efficiency.
Develop robust data models that translate complex business requirements into clean, scalable, and easily evolvable analytical structures.
Write highly efficient and complex SQL for large-scale data transformation, analysis, validation, and troubleshooting.
Use Python, Java, or Scala to develop scalable data processing and automation solutions.
Identify repetitive manual processes and continuously automate, simplify, and eliminate operational overhead.
Troubleshoot large-scale data and pipeline issues and drive root-cause resolution rather than relying on manual workarounds.

Experience:

Strong experience in Data Engineering / Big Data Engineering within high-volume production environments.
Proven experience designing and operating data pipelines processing billions of rows/records.
Extensive hands-on experience with Apache Spark and distributed data processing.
Strong experience with Apache Airflow or comparable workflow orchestration frameworks.
Advanced proficiency in SQL and experience working with very large datasets.
Strong programming experience in Python, Java, or Scala.
Proven expertise in data modeling, dimensional modeling, analytical data structures, and scalable data architecture.
Experience with production data environments where availability, reliability, latency, scalability, and data quality are critical.
Demonstrated mindset of automation and continuous improvement—you naturally look for ways to eliminate repetitive manual work.

Skillsets:

Experience handling multi-billion-row datasets or similarly high-volume event/data workloads.
Experience with high-traffic consumer platforms, digital products, marketplaces, advertising, search, transaction, or behavioral analytics data.
Experience building data platforms that support near-real-time or high-frequency data processing.
Background in geographic information systems (GIS) or spatial analysis

Education:

Bachelor's degree or equivalent experience in related field.

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

#LI-AS140

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: usts
Position Id: 26-23263
Posted 2 days ago

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Job Description Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be

Full-time

Job Details

Skills

AWS
AZURE
GCP
DATA SET
DATA-SET

Summary

Duration: 12 months contract

Job Description:

We are seeking a Senior Data Engineer to design, build, and operate highly scalable data platforms supporting a large, high-traffic digital business. The role involves massive datasets, complex data flows, and business-critical analytics workloads, where performance, reliability, scalability, and automation are essential.
The ideal candidate has hands-on experience building and operating production-grade data pipelines processing billions of rows/records, with strong expertise across distributed data processing, orchestration, data modeling, monitoring, and optimization.
This is not a dashboard-focused or basic ETL role. We are looking for an engineer who can take complex data problems from business requirements → architecture → pipeline development → data modeling → production deployment → monitoring and optimization, while ensuring high performance, reliability, and scalability.

Responsibilities:

Design and implement scalable, production-grade data pipelines capable of processing billions of rows/records across multiple data sources.
Build reliable data ingestion, transformation, processing, and storage workflows for large-scale analytical and operational use cases.
Develop and optimize distributed data processing solutions using technologies such as Apache Spark.
Build and manage workflow orchestration using Apache Airflow or similar platforms.
Design data pipelines with strong focus on performance, scalability, reliability, recoverability, and operational efficiency.
Monitor production pipelines, identify bottlenecks and failures, and proactively improve data reliability, pipeline uptime, and processing efficiency.
Develop robust data models that translate complex business requirements into clean, scalable, and easily evolvable analytical structures.
Write highly efficient and complex SQL for large-scale data transformation, analysis, validation, and troubleshooting.
Use Python, Java, or Scala to develop scalable data processing and automation solutions.
Identify repetitive manual processes and continuously automate, simplify, and eliminate operational overhead.
Troubleshoot large-scale data and pipeline issues and drive root-cause resolution rather than relying on manual workarounds.

Experience:

Strong experience in Data Engineering / Big Data Engineering within high-volume production environments.
Proven experience designing and operating data pipelines processing billions of rows/records.
Extensive hands-on experience with Apache Spark and distributed data processing.
Strong experience with Apache Airflow or comparable workflow orchestration frameworks.
Advanced proficiency in SQL and experience working with very large datasets.
Strong programming experience in Python, Java, or Scala.
Proven expertise in data modeling, dimensional modeling, analytical data structures, and scalable data architecture.
Experience with production data environments where availability, reliability, latency, scalability, and data quality are critical.
Demonstrated mindset of automation and continuous improvement—you naturally look for ways to eliminate repetitive manual work.

Skillsets:

Experience handling multi-billion-row datasets or similarly high-volume event/data workloads.
Experience with high-traffic consumer platforms, digital products, marketplaces, advertising, search, transaction, or behavioral analytics data.
Experience building data platforms that support near-real-time or high-frequency data processing.
Background in geographic information systems (GIS) or spatial analysis

Education:

Bachelor's degree or equivalent experience in related field.

Dice Id: usts
Position Id: 26-23263
Posted 2 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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