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3 jobs found

2d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

2d ago

Full time Cloud Cloud Platform Data

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Job Description

Daley and Associates is seeking a Lead Data Engineer to own the development of data integration, dbt-driven data modeling in Snowflake, and the construction of end-to-end data pipelines that empower investment data analytics. This onsite role in Boston, MA requires a collaborative leader who can support the Investment Data Management Office three days per week while driving scalable solutions that align with architectural standards.

Responsibilities

Develop and maintain dbt models inside Snowflake, embedding business logic and ensuring alignment with the existing architecture and data standards.
Oversee and contribute to dbt projects, maintaining code quality, documentation, and modular, scalable design patterns.
Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead development efforts and implement solutions that meet business requirements and support program objectives.
Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring capabilities.
Troubleshoot complex system interactions to identify root causes of issues.
Collaborate with the platform lead to design, develop, implement, and deploy new software components on the investment data platform.
Partner with the data architect to evaluate and finalize a unified data model.
Work with the integration architect to upgrade and integrate data ingestion and delivery tools within the unified platform.
Upgrade and integrate transformation, data validation, and orchestration tools to enable data engineering, analytics, and maintenance tasks.
Provide on-call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years designing, developing, and delivering data-centric, complex applications.
2-4+ years of hands-on work from SQL to Advanced SQL.
Experience developing and maintaining data models using dbt (Data Build Tool).
Background in data integration (ETL/ELT), data warehousing, analytics architecture, with familiarity in Snowflake and other cloud-native databases.
Development experience on cloud PAAS platforms such as Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
Strong understanding of Agile SDLC, DevOps, and cloud technologies, with exposure to multiple technologies and environments.
Knowledge of architectures and patterns such as unified data management, data mesh, event-driven architectures, real-time data flows, non-relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desirable.
Solid interpersonal and communication skills with the ability to lead cross-team collaborations.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What we are looking for

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years designing, developing, and delivering data-oriented, complex applications.
2-4+ years of progressive SQL experience, including advanced SQL.
Proven experience developing and maintaining data models with dbt.
Background in data integration (ETL/ELT), data warehousing, and analytics architecture; familiarity with Snowflake and other cloud-native databases.
Experience developing on cloud PAAS platforms such as Azure, GCP, or AWS.
Deep grasp of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse technologies and environments.
Knowledge of unified data management, data mesh, event-driven, real-time data flows, and related architectures.
Experience in financial services data solutions, including instruments, transactions, and positions, is desirable.
Strong collaboration and communication skills to work across internal and external teams.

Preferred Qualifications

Experience in the asset management and investment data domain, including multi-asset platforms and related data ecosystems.
Understanding of asset management concepts and familiarity with various financial instruments and products.
Industry certifications in Snowflake, dbt, cloud data engineering, data warehousing, or financial markets are highly valued.
Interest in emerging AI technologies and how AI-driven tools can enhance engineering workflows, data quality, and analytics.
Familiarity with AI-assisted development, automation, or data engineering best practices to boost productivity.

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2mo ago

Cloud Data Engineer – AI & Analytics Transformation

NavitasPartners San Diego, CA 🇺🇸 Remote

San Diego, CA

2mo ago Closed

$40+/hr Contract Analytics AWS Azure

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Contract Cloud Data Engineer role in San Diego, CA with remote options, focused on enterprise data and AI transformation.

Location: San Diego, CA (remote)

Salary: USD 40 per hourly

Job Type: Contract

Responsibilities

Design and implement modern data architectures using cloud platforms
Build and optimize ETL/ELT pipelines for large-scale datasets
Work closely with cross-functional teams to deliver business insights

Requirements

Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
Strong cloud experience (AWS, Azure, GCP)
Experience in distributed data processing and pipeline orchestration

Technologies

Snowflake
Databricks
BigQuery
AWS
Azure
GCP

Overview

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.

NICE TO HAVE

Exposure to ML engineering and MLOps practices
Experience with GenAI or Agentic AI solutions
Understanding of enterprise AI governance frameworks

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2mo ago

Senior Machine Learning Engineer

General Motors Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

2mo ago Closed

$170k - $240k/yr Full time Senior AWS Azure

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

General Motors invites you to join as a Senior Machine Learning Engineer. This role focuses on designing and building scalable ML training infrastructure that underpins AI research and model development, enabling intelligent driving technologies across GM vehicles. You will collaborate with ML engineers and researchers to deliver a scalable, reliable platform with strong performance, observability, and cross-functional collaboration. The team emphasizes rigorous engineering, a collaborative culture, and opportunities to impact the future of mobility. A comprehensive rewards package supports health, growth, and work-life balance.

Responsibilities

Design and develop a scalable, reliable, high-performance ML framework to support model training at scale.
Analyze and optimize model training performance to scale distributed workflows and maximize resource utilization across heterogeneous hardware, while controlling costs.
Raise the bar on system observability, debuggability, operational excellence, and user experience.
Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Requirements

Bachelors degree or higher in Computer Science or an equivalent major, or relevant experience.
3+ years of professional software engineering experience.
2+ years of specialized experience in AI/ML infrastructure, enabling distributed training for scaling large ML models.
Strong Python programming skills, with proficiency in PyTorch (preferred), TensorFlow, or similar frameworks.
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
Willingness to travel to Sunnyvale, CA as needed.
Comfortable working in highly ambiguous and dynamic environments.

Technologies

Python
PyTorch
TensorFlow
AWS
GCP
Azure
PyTorch 2.x+
FSDP
Pipeline Parallelism

Compensation

Salary range: $170,000 to $240,000 per year. The actual base salary offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program pays out based on company performance, role level, and individual performance.

Location and Relocation

Sunnyvale, CA (remote)

This role may be eligible for relocation benefits.

Benefits

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts

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Multi Cloud Data Jobs

Lead Data Engineer

Cloud Data Engineer – AI & Analytics Transformation

Senior Machine Learning Engineer

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