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Data Engineer (Java, Spring boot, Kafka) Fulltime

e-IT Professionals Corp.

Hybrid in Washington Township, New Jersey • Today

Easy Apply

Full-time

Depends on Experience

Sr AI/ML Data Engineer Remote or Office-Based in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or Austin, Texas • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or San Jose, California • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or San Diego, California • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or Los Angeles, California • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or San Francisco, California • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or Boston, Massachusetts • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote • Today

Full-time

Staff Software Development Engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 106,605.00 per year

Senior Full Stack Java Engineer

Miratech

Remote or Austin, Texas • 16d ago

Full-time

Full Stack Java Engineer

Miratech

Remote • Today

Full-time

Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or Miami, Florida • Today

Full-time

Senior Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or New York, New York • Today

Full-time

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Full Stack Java Engineer (WFM)

Miratech

Remote or New York, New York • Today

Full-time

Full Stack Java Engineer

Miratech

Remote or New York, New York • Today

Full-time

Full Stack Java Engineer - Workforce Management (WFM)

Miratech

Remote or New York, New York • Today

Full-time

Senior Programmable Voice Engineer (CX Platform)

Miratech

Remote • Today

Full-time

Senior Telecomm Engineer - Remote

UnitedHealth Group

Remote or La Crosse, Wisconsin • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Sr. AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior Software Developer

Quantiphi Inc.

Remote or California • Today

Full-time

Senior Engineer - Observability Platform

CVS Health

Remote or Rhode Island • Today

Full-time

USD 83,430.00 per year

Lead Engineer - Observability Platform

CVS Health

Remote or Rhode Island • Today

Full-time

USD 106,605.00 per year

Lead Software Development Engineering

McKesson Corporation

Remote or Irving, Texas • Today

Full-time

USD 163,100.00 - 271,800.00 per year

Java Product Engineer

Diaconia

Remote • Today

Full-time

Full Stack Engineer

Capital Technology Group, LLC

Remote • Today

Full-time

USD 90,000.00 - 130,000.00 per year

Senior Software Engineer - Full-Stack - Front End Leaning (Power Packs)

Collectors Universe, Inc.

Remote or Arizona • Today

Full-time

USD 140,971.00 - 228,870.00 per year

Full Stack Developer - Intermediate

Judge Group, Inc.

Wilmington, Delaware • Today

Contract

Job Details

Skills

Java
Spring boot
Kafka

Summary

Role: Data Engineer (Java, Spring boot, Kafka)

Location: Whippany NJ (Hybrid -3 days a week)

Mode : Fulltime

Lead the architecture, design, development, and operational stewardship of real-time streaming and data platform capabilities, remaining hands-on in key technical decisions and implementation where appropriate.
Write, review, and guide high-quality production code for critical platform components, setting the bar for engineering standards, maintainability, resilience, and performance.
Lead and develop engineering teams, providing technical direction, coaching, and delivery leadership while creating a culture of accountability, ownership, and continuous improvement.
Own the design and production operation of resilient, low-latency streaming solutions that process critical financial events with strong guarantees for correctness, recoverability, observability, scalability, and control.
Run streaming platforms at scale, including responsibility for production health, capacity, reliability, incident response, recovery, and continuous service improvement.
Partner with business, product, architecture, and control stakeholders to shape roadmaps, solve complex engineering problems, and align platform delivery with business and regulatory requirements.
Drive platform modernization across streaming, event processing, and data movement, balancing hands-on technical contribution with leadership across delivery priorities and dependencies.
Establish strong engineering disciplines across testing, code review, release management, observability, incident response, capacity planning, and production readiness for real-time workloads.

To be successful you should have experience with:

Deep experience designing, building, and operating real-time data platforms, streaming architectures, and distributed systems in complex enterprise environments.
At least 8 years of hands-on experience running real-time streaming solutions in production at scale, with accountability for reliability, performance, observability, recovery, and operational stability.
Strong software engineering capability, with fluency in Java programming and a track record of writing production-grade code and leading technical implementation for business-critical systems.
Strong technical credibility in streaming and event-driven systems, including topics such as partitioning, ordering, stateful processing, delivery semantics, replay, fault tolerance, and platform resilience.
Proven experience leading engineering teams, mentoring developers, and driving delivery while maintaining high standards across design, coding, testing, and operational support.
Experience working with modern streaming and data technologies such as Kafka, Pulsar, Kinesis, Flink, Spark Structured Streaming, or equivalent platforms, with the judgment to select the right patterns for the problem.
Strong understanding of control, governance, and risk management expectations for production data platforms, particularly where resilience, auditability, and data correctness are business critical.

Some other highly valued skills may include:

Experience leading engineering organizations using modern data platforms such as Databricks or equivalent ecosystems for large-scale data and analytics workloads.
Working knowledge of cloud-native platform capabilities across compute, storage, orchestration, observability, and security in support of resilient data services.
Strong understanding of software engineering lifecycle practices, including CI/CD, platform automation, release controls, and operational governance for critical services.
Experience operating in financial services, payments, trading, or similarly regulated environments where non-functional requirements, controls, and recoverability are essential.
Ability to communicate complex technical strategy clearly to senior business and technology audiences, building confidence, alignment, and support for change.

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: 10124157
Position Id: 9125751
Posted 3 hours ago

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Contact the job poster

Imran Ali

Recruiter @ e-IT Professionals Corp.

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Wilmington, Delaware

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Today

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Sr Data Platform Engineer

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10d ago

Senior Data Platform Engineer Own Production Platform: Run a near real-time streaming data platform, owning latency/throughput SLOs and on-call incident response. Build Streaming Pipelines: Extend pipelines ingesting CDC events from operational databases and SaaS sources. Transform with Flink: Use Java and Flink SQL to perform cross-stream joins and enrich data into canonical entities. Ensure PHI Governance: Implement classification, row/column controls, and access policies (e.g., ABAC) for s

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Contract, Third Party

Depends on Experience

Streaming Data Platform Engineer

Remote

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Today

Streaming Data Platform Engineer W2 Contract Pay Rate: $55 - $65 per hour Location: Cupertino, CA - Remote Role Job Summary: We are seeking an experienced software engineer to help design and build large-scale, cloud-native data platform capabilities with a strong emphasis on real-time streaming. This is a platform engineering role, not a conventional ETL or analytics development position. The engineer will create reusable services, SDKs, frameworks, and self-service capabilities that enabl

Easy Apply

Contract

$55 - $65 per hour