Data Products

Data Products Developer Jobs

3 jobs found

2d ago

Machine Learning Engineer, Frontier Data Products

Mercor New York, NY

New York, NY

2d ago

$130k - $500k/yr Full time Artificial Intelligence Data Analysis Data Platform

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Job Description

Mercor's Frontier Data Products team is building production-grade ML systems that score and refine complex outputs, even when labels are imperfect. This onsite role in New York, NY places you at the intersection of evaluation design, model behavior, and durable inference pipelines, with compensation in the USD 130,000 to 500,000 range per year.

Summary

In this role you will develop and own production ML systems that assign scores, validate outcomes, and iteratively improve complex work products where labels are imperfect. You will define evaluation schemes, implement feedback loops, and collaborate with backend engineers to deploy robust, long-running inference pipelines within Mercor's Frontier Data Products.

Responsibilities

Develop production ML systems that score and improve outputs where correctness is nuanced and labels are imperfect.
Design evaluation schemes for ambiguous tasks where ground truth may be partial, delayed, or disputed.
Create feedback loops that translate reviews, disagreements, corrections, and adjudication into measurable model and system improvements.
Oversee production ML behavior end-to-end, balancing precision/recall tradeoffs, regression detection, drift, latency, cost, and explainability.
Enhance model quality using appropriate tools, including prompting, fine-tuning, retrieval, active learning, heuristics, and error analysis.
Collaborate with backend engineers to embed inference into durable, long-running workflows while preserving debuggability and human oversight.

Requirements

Track record of shipping ML systems that delivered measurable improvements to a real product, workflow, or business metric.
Strong instincts for model quality, evaluation design, error analysis, and production failure modes.
Comfort operating in ambiguous problem spaces where labels are imperfect and correctness evolves over time.
Discernment to choose among prompting, fine-tuning, retrieval, human review, or simpler product constraints.
Solid engineering fundamentals across the full ML stack, not just modeling.
Familiarity with LLM applications, model-assisted workflows, evaluation frameworks, or human-in-the-loop ML is a plus.
Preference for simple, inspectable ML systems that improve quickly and fail in understandable ways, rather than the flashiest architecture.
Discomfort shipping a model without a clear evaluation story.
Ability to navigate ambiguity and make reasonable bets with incomplete information.
Focus on real-world output of the system, not solely on benchmarks.

Technologies

Python
Temporal
Postgres
AWS
LiteLLM

Benefits

Bi-annual performance bonus structure.
Generous equity grant vested over 4 years.
Up to $15k relocation bonus.
$10K housing bonus if you live within 0.5 miles of the office.
$1.5K monthly meal stipend.
Free Equinox membership.
$200 monthly laundry reimbursement.
$200 monthly personal wellness reimbursement.
Health, Dental, Vision insurance.

Day to Day

Move quickly on a young, high-ownership codebase where your decisions shape long-term architecture.
Work across models, data, backend systems, and product surfaces; context switching is the norm.
Debug production ML failures in live, long-running workflows where silent errors matter.
Collaborate with backend engineers on a stack of Python, Temporal, Postgres, AWS, and LiteLLM.
Balance automation confidence with human review, recognizing when to defer is as important as shipping.

What makes this role different

The architecture is not fixed; early engineers will define how quality is measured, how models and humans interact, where automation is trusted, and how the system compounds over time.
The feedback loop is short, with shipping a model behavior change directly and visibly affecting customer output.
You will work in a strategically central product area at Mercor during a moment when frontier AI solutions for this problem are scarce.

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4d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

4d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

Join Amazon Publisher Monetization on the APM team as a Data Engineer II. This onsite role in Seattle, WA offers a strong compensation package (USD 132,100 - 178,800 per year) and a benefits-forward environment that includes health insurance, 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement coverage. You will help build reliable data foundations, design scalable pipelines, and empower trusted insights for business teams and partners.

Responsibilities

Design, develop, and optimize data models and end-to-end data pipelines across APM's publisher data, leveraging AWS services such as Redshift, EMR, Airflow, Kinesis, Lambda, and internal Amazon tools
Shape architectural decisions for data solutions within a unified modeling framework that serves both human analysts and AI powered analytics agents, balancing near-term delivery with long-term scalability
Define and implement data quality standards across the datasets you own by building automated monitoring, investigating anomalies, and driving root-cause resolution with minimal guidance
Collaborate with business stakeholders to understand decision-making needs and translate ambiguous requirements into trusted, well-modelled data products
Lead the design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security, while guiding team-wide technical direction
Mentor and support other engineers on data engineering best practices, code quality, and system design principles

Requirements

Bachelor's degree
4+ years of data engineering experience
2+ years developing and operating large-scale BI data structures using ETL/ELT processes
2+ years developing and operating large-scale BI data structures using data modeling
1+ years developing and operating large-scale BI data structures using SQL
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby
Experience with data modeling, warehousing, and building ETL pipelines
Experience building and operating highly available distributed systems for extracting, ingesting, and processing large data sets
Experience delivering end-to-end projects independently
Knowledge of professional software engineering practices for full software development life cycle, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence

Technologies

Redshift
EMR
Airflow
Kinesis
Lambda
S3
AWS Glue
Firehose
IAM roles and permissions
Hadoop
Hive
Spark
SQL
C++, C#, Java, Python, Golang, PowerShell, Ruby

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Adoption and surrogacy reimbursement coverage

About the Team

We are the APM Agentic Insights team, building scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization. Our mission is to create customer-centric advertising services by ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data. We collaborate across organizational boundaries with data engineers, business intelligence engineers, scientists, and product teams to solve complex problems at scale.

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14d ago

Software Engineer Lead - Data Product Organization (Cloudera Hadoop, Neo4j, Spark/PySpark)

PNC Financial Services Group Birmingham, AL

Birmingham, AL

14d ago

$55k - $138k/yr Full time Big Data Bigdata Cloudera

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Job Description

PNC Financial Services Group is seeking a Software Engineer Lead to guide the data-oriented Treasury Management network within its Data Product Organization. This onsite role in Birmingham, Alabama, centers on building and sustaining a data-centric payment ecosystem leveraging Hadoop and Neo4j, with leadership responsibilities spanning data engineering and cross-functional collaboration with data scientists and architects. The position blends hands-on engineering with mentorship and strategic delivery, anchored in a robust, enterprise-grade tech environment.

Responsibilities

Develop, maintain, and expand a complex, data-centric Treasury Management payment network currently hosted on Hadoop and Neo4j
Work on complex data requirements independently
Collaborate with Data Scientists, Architects, and other key technical resources
Experience with streaming and Iceburg
Proven experience in Cloudera Hadoop, HDFS, HQL, Hive, Impala, Beeline, and Neo4j
Strong communication skills; ability to lead others
Lead experience as a Data Engineer

Requirements

Apache Kafka
Application Development
Business Management
Customer Solutions
Data Engineering
Design
Group Problem Solving
Neo4j
Process Improvements
Release Management
Software Solutions
User Experience (UX) Design
Application Delivery Process
Application Design
Architecture
Application Development Tools
Application Testing
Packaged Application Integration
System Development Life Cycle
Technical Troubleshooting

Technologies

Spark
PySpark
Cloudera Hadoop
HIVE
HQL
Imapala
Beeline
HDFS
Neo4j
Linux
Iceburg

Benefits

Medical/prescription drug coverage (with a Health Savings Account feature)
Dental and vision options
Employee and spouse/child life insurance
Short and long-term disability protection
401(k) with PNC match, pension and stock purchase plans
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year
Between 15 to 25 vacation days each year

Job Description

Lead the technical design and development of software solutions
Propose and design software solutions to address complex business needs; prepare the required technical and procedural documentation
Facilitate complex problem resolution
Provide technical guidance and support to colleagues; review coding, testing, and documentation of software
Apply modern principles, methodologies and tools to advance business initiatives and capabilities

Pay Transparency

Base Salary: $55,000.00 – $138,000.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 09/02/2025, although it may be longer with business discretion.

Disability Accommodations

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will b

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Data Products Developer Jobs

Machine Learning Engineer, Frontier Data Products

Data Engineer II

Software Engineer Lead - Data Product Organization (Cloudera Hadoop, Neo4j, Spark/PySpark)

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