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Agency Iceberg Jobs (NOW HIRING)

3ds

Senior Data Engineer

Iselin, NJ · On-site

$96K - $128K/yr

You will be part of a small, high-agency team driving the design and operation of data ... Experience with Iceberg catalogs such as Polaris, Lakekeeper, or similar solutions for table ...

New

Prodege LLC

Principal ML Engineer

... Iceberg lake, and 50 Kafka topics and growing across batch and real-time workflows. If you enjoy ... and agencies uncover the answers to their business questions, acquire new customers, increase ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

... agencies to improve the lives and protect the well-being of all Americans, from veterans and ... Load data accurately and optimally into S3 zones (Parquet, ORC, Iceberg), relational datastores ...

MANTECH

Data Engineer with Security Clearance

Miami, FL · On-site

$109K - $131K/yr

... agency, or defense contractor framework. * Bachelor's degree in Computer Science, Data Science ... Hands-on experience with data lake or data lakehouse architectures (e.g., Apache Iceberg)

Cuesta Partners

Databricks Architect | US

$145K - $188K/yr

Strong understanding of data lake concepts and formats (Delta, Iceberg, Parquet, etc ... Agency and influence in the company's total strategy and direction * Collaboration with a high ...

MANTECH

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

... agency, or defense contractor framework. * Bachelor's degree in Computer Science, Data Science ... Hands-on experience with data lake or data lakehouse architectures (e.g., Apache Iceberg)

Anduril Industries

Security Data Engineer

Ashville, OH · On-site +1

$129K - $220K/yr

Experience with open tables formats like Iceberg or Delta Lake US Salary Range $129,000-$220,000 ... Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will ...

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Showing results 21-40

All JobsAgency Iceberg Jobs

Agency Iceberg information

See salary details

$11K

$53.1K

$88K

How much do agency iceberg jobs pay per year?

As of Aug 8, 2026, the average yearly pay for agency iceberg in the United States is $53,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Agency Iceberg vs Digital Marketing Specialist?

AspectAgency IcebergDigital Marketing Specialist
Required CredentialsRelevant marketing certifications, bachelor's degree in marketing or related fieldSame as Agency Iceberg, often with additional certifications in specific tools
Work EnvironmentAgency setting, collaborative teams, fast-paced projectsCorporate or agency, focused on digital campaigns, often client-facing
Employer & Industry UsageMarketing agencies, advertising firmsBusinesses with internal marketing teams or agencies
Search & Comparison IntentUnderstanding roles in marketing agenciesJob responsibilities and skills in digital marketing

The Agency Iceberg and Digital Marketing Specialist roles share similar credentials and work environments, often overlapping in marketing agencies. While the Agency Iceberg may refer to a broader or more strategic role within an agency, the Digital Marketing Specialist typically focuses on executing digital campaigns. Both roles are essential in the marketing industry, with the main difference being scope and focus.

More about Agency Iceberg jobs
What job categories do people searching Agency Iceberg jobs look for? The top searched job categories for Agency Iceberg jobs are:
Agency Iceberg jobs near you
Infographic showing various Agency Iceberg job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 9% Part Time, and 16% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $53,111 per year, or $25.5 per hour.

Staff Software Engineer, Data Infrastructure

Peregrine Technologies

New York, NY • On-site

$200K - $275K/yr

Full-time

Re-posted 25 days ago

Job description

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society's challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence - instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people - and we're amplifying our impact as we expand into the enterprise and internationally.
Team
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We value both ownership and collaboration-you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions-you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
Role
We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data - enabling our customers to make critical decisions with speed and confidence.
This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:
  • Designing and operating a high-throughput, real-time data integration platform across diverse customer environments
  • Architecting a scalable open table format layer for reliable data storage at petabyte scale
  • Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies
  • Driving performance, reliability, and cost efficiency across the full data infrastructure stack
  • Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns
  • Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization

Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.
About You
  • Deep passion for data infrastructure - you care about building systems that are correct, fast, and resilient at scale
  • Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems
  • Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs
  • Desire to own significant portions of the data stack end-to-end, from ingestion to serving
  • Committed to operational excellence - you build things you're proud to operate
What We Look For
  • 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
  • Deep expertise with open table formats, particularly Apache Iceberg - including schema evolution, partitioning strategies, compaction, and time travel
  • Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
  • Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
  • Solid experience with data pipeline orchestration using Airflow or similar tools
  • Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
  • Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
  • Experience with Kubernetes and containerized deployment of data workloads
  • Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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