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Large-Scale Data Platforms Engineer - #26-23263

U.S. Tech Solutions Inc.

Remote • Today

Easy Apply

Contract

$75 - $80

Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java)

NTT DATA Americas, Inc

Hybrid in Cupertino, California • 14d ago

Easy Apply

Contract

$75

Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Vice President - Dallas

Goldman Sachs & Co.

Dallas, Texas • Today

Full-time

Data Platform Lead

Navigant Consulting

Remote • Today

Full-time

USD 149,000.00 - 248,000.00 per year

Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - Dallas

Goldman Sachs & Co.

Dallas, Texas • Today

Full-time

Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java)

NTT DATA, Inc.

Cupertino, California • Today

Full-time

USD 60.00 - 75.00 per hour

Senior Software Engineer, Data Platform

Block, Inc

San Francisco, California • 4d ago

Full-time

USD 180,000.00 - 270,000.00 per year

Senior Software Engineer, Data Platform

Block Inc

California • Today

Full-time

USD 180,000.00 - 270,000.00 per year

Data Platform Engineer

Hasbro Inc.

Boston, Massachusetts • Today

Full-time

USD 108,300.00 - 162,500.00 per year

Senior Software Engineer, Data Platform

NxT Level

Torrance, California • Today

Full-time

USD 200,000.00 - 240,000.00 per year

Senior Backend Developer, Data Platform

J VERS LLC

Reston, Virginia • Today

Full-time

Principal Engineer, Data Platforms (Architecture & Ingestion)

CVS Health

Remote or New Jersey • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Lead Data Engineer - Experimentation Platform - 1633

aKube Inc

Santa Monica, California • Today

Full-time

USD 100.00 per hour

Senior Data Platform Engineer

NewVision Software & Consultancy Pvt. Ltd

Dallas, Texas • 13d ago

Easy Apply

Full-time

Depends on Experience

Senior Software Engineer, Data Platform

Rippling

San Francisco, California • Today

Full-time

USD 168,000.00 - 280,000.00 per year

Head of Data Engineering & Platform

Mercury

San Francisco, California • 19d ago

Full-time

USD 289,700.00 - 362,100.00 per year

Sr. Data Platform Engineer

Donato Technologies Inc

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Engineer, Data Platform Technology

Balyasny Asset Management

New York, New York • Today

Full-time

Staff Data Platform Engineer

Umbra

Santa Barbara, California • Today

Full-time

USD 185,000.00 - 220,000.00 per year

Al Data Platform Engineer

Charter Global, Inc.

Hybrid in New York, New York • 10d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Data Platform Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Staff Data Platform Engineer - Finance

Vercel

San Francisco, California • 10d ago

Full-time

USD 260,000.00 - 360,000.00 per year

Sr Enterprise Data Platform and Engineering

Academy Sports + Outdoors

Katy, Texas • Today

Full-time

Senior Staff Engineer-Data and AI Platform

HEB Grocery Company, LP

Austin, Texas • Today

Full-time

USD 181,800.00 per year

Distinguished Software Engineer, Data Platform

Saviynt

Milpitas, California • Today

Full-time

USD 300,000.00 - 320,000.00 per year

Senior Engineer, Data Platform - AR

NxT Level

Boston, Massachusetts • Today

Full-time

USD 180,000.00 - 210,000.00 per year

IT Manager - Data Platform & Engineering

Michels Corporation

Brownsville, Wisconsin • Today

Full-time

Senior Manager, Data Platform Engineering

Cohere Health

No location provided • Today

Full-time

USD 175,000.00 - 195,000.00 per year

Senior Data Platform Engineer

Komodo Health

No location provided • Today

Full-time

USD 196,000.00 - 230,000.00 per year

Staff Engineer, Data Platform (R5659)

Shield AI Inc

San Diego, California • Today

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.

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 20 hours ago

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Third Party, Contract

Depends on Experience

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 20 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

Similar Jobs

Senior Big Query & Spark Data Engineer

Remote

•

5d ago

Easy Apply

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Remote

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USD 179,400.00 - 224,300.00 per year

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•

11d ago

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Third Party, Contract

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