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Today

Data Engineer 4 (Manager, IC)

Information Technology Senior Management Forum Richmond, VA

Richmond, VA

Today

$179k - $205k/yr Full time Backend Developer Manager Big Data

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Job Description

This role supports Capital One Risk Tech by designing, building, and deploying cloud-first, AI-powered risk management solutions. The Data Engineer 4 (Manager, IC) will help partner across GRC and company teams, with a focus on scalable data pipelines and strong data security practices.

Location

Richmond, VA (onsite)

Compensation

Salary Range: USD 179,400 - 204,700 per yearly (Richmond, VA).

Performance based incentive compensation may include cash bonus(es) and/or long term incentives (LTI).

Role Responsibilities

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies.
Influence developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
Build using Python and Spark, leveraging open-source relational and NoSQL databases and cloud data warehousing platforms including Databricks and Snowflake.
Stay current on data trends by experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring members of the data community.
Partner with product managers and software engineers to deliver robust cloud-first data solutions that support experiences for millions of Americans.
Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers.
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines.
Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency to maintain performance as data and demands grow.
Implement data security standards, including encryption at rest/transit and fine-grained access control, to support compliance with data privacy regulations.
Serve as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment.

Required Qualifications

Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
At least 4 years of experience in application development (internship experience does not apply).
At least 2 years of experience in distributed data.
At least 2 years of experience with SQL.
At least 2 years of experience with one programming language: Python, Java, or Scala.
At least 2 years of experience in data pipeline design and development.
At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational databases.

Technologies

Python, Spark
Databricks, Snowflake
SQL, NoSQL, MongoDB, Cassandra, DynamoDB
EMR, Glue, Airflow, Dagster
Monte Carlo, Splunk, Redshift
AWS, Microsoft Azure, Google Cloud
Scala, Java

Preferred Qualifications

7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java.
4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud).
4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks.
4+ years of experience designing, implementing, and operating real-time or streaming data pipelines.
2+ years of experience in data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
4+ years of experience with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift).
2+ years of experience working in an Agile development environment.
2+ years of experience developing user-centric reusable data products.

Education

Bachelor’s Degree or higher in Computer Science or a related quantitative field.

Benefits

Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being.

Additional Information

Expected application review window: minimum of 5 business days.
No agencies please.
Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Pay range may vary for candidates hired in other locations.
For technical support or questions about the recruiting process, email Careers@capitalone.com.

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Today

Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

Apple Santa Clara, CA

Santa Clara, CA

Today

$175k - $309k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

Apple’s Geo domain team is seeking a Senior Machine Learning Engineer to build machine learning and LLM-based systems that interpret user queries, rank documents, and surface useful local answers through Siri and Spotlight. The role focuses on improving search quality across the full pipeline, from query understanding to retrieval and ranking.

Role Overview

As a senior member of the AKI (Answers, Knowledge & Information) team, you will own end-to-end machine learning development to enhance how local information is understood and delivered. You will work on models and systems that support query understanding, document ranking, and overall search relevance.

Key Responsibilities

Own the entire ML development cycle, from opportunity analysis, exploration, and prototyping through data collection, feature engineering, training, evaluation, and production deployment.
Lead development of machine learning models to improve search quality across retrieval, ranking, reranking, and query understanding.
Enhance search quality and user experience by applying techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.
Provide technical leadership by mentoring junior engineers and contributing to the architecture of ML systems and model design.
Translate product requirements into modeling tasks and engineering tasks.

Required Qualifications

8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
Deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
Proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
Comfort leading experimentation, offline evaluation, and online A/B testing to support iterative improvements in search quality.
Excellent interpersonal skills, with the ability to work independently and collaboratively.
Master’s Degree in Computer Science or equivalent experience in machine learning or a related field.

Preferred Qualifications

Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics.

Technology Focus

LLMs

Location

Santa Clara, CA (onsite)

Compensation

Base pay range: USD 175,000 - 308,500 per year.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Participation in Apple’s discretionary employee stock programs (eligible for discretionary restricted stock unit awards)
Ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments as well as relocation (might be eligible)

Education

Master’s Degree in Computer Science.

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Engineering Leader Data Jobs

Data Engineer 4 (Manager, IC)

Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

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