Lead Graph Data Engineer Job at Wells Fargo (ISELIN)

Staff Data Engineer

Checkr is hiring an experienced Staff Data Engineer to join their Data Platform ...

Location

United States , San Francisco; Denver

Salary:

166000.00 - 230000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

10+ years of designing, implementing and delivering highly scalable and performant data platform
experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
experience with ETL/ELT, stream and batch processing of data at scale
expert level proficiency in PySpark, Python, and SQL
expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
an understanding of Graph and Vector data stores (preferred)
knowledge of security best practices and data privacy concerns
strong problem-solving skills and attention to detail
experience/knowledge of data processing platforms such as Databricks or Snowflake.

Job Responsibility

Architect, design, lead and build end-to-end performant, reliable, scalable data platform
monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
mentor, guide and work with junior engineers to deliver complex and next-generation features
partner with engineering, product, design, and other stakeholders in designing and architecting new features
create and maintain data pipelines and foundational datasets to support product/business needs
experiment with rapid MVPs and encourage validation of customer needs
design and build database architectures with massive and complex data
develop audits for data quality at scale
create scalable dashboards and reports to support business objectives and enable data-driven decision-making
troubleshoot and resolve complex issues in production environments.

What we offer

A fast-paced and collaborative environment
learning and development allowance
competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
up to $25K reimbursement for fertility, adoption, and parental planning services
flexible PTO policy
monthly wellness stipend
home office stipend
in-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

Fulltime

Senior Data Engineer

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...

Location

United States

Salary:

130000.00 - 155000.00 USD / Year

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
5+ years of experience in a data engineering, analytics, or marketing technology role
Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
Strong proficiency in SQL and hands-on experience with data transformation and modeling
Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
Experience with ingress/egress patterns and interacting with API’s to move data
Experience with Python, or JavaScript in a data or scripting context
Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
Implement schema mapping, identity resolution, and data governance strategies
Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
Conduct data quality assessments and support QA for new source integrations and activations
Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
Simplify complex technical concepts and educate team members and clients in a clear, approachable way
Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies

What we offer

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts

Fulltime

Senior Software Engineer II

The Entity Graph team builds the core knowledge graph and services that connect ...

Location

United States , Seattle

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Strong backend engineering experience (typically 8+ years) with proven technical leadership
Proficiency in one or more modern languages (e.g., Java/Kotlin, C#, Go, or similar) and cloud-native service development
Experience designing data models for complex, interrelated domains and working with relational and NoSQL/graph stores
Solid systems design skills for distributed, high-throughput services
Clear communicator who collaborates effectively across teams
Security- and privacy-conscious mindset

Job Responsibility

Design and implement scalable services for entity modeling, ingestion, indexing, and query
Define and evolve data and schema models for interconnected records
Lead end-to-end projects: architecture, implementation, and delivery
Collaborate with product and data partners to translate requirements into technical solutions
Improve service reliability, testing, and observability
Mentor peers and contribute to engineering best practices

Fulltime

Scorecard Design and Management Lead Analyst

Citi is looking for a Hands-on Senior Data Engineer and Architect to join our te...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of experience, Banking or Finance industry preferred
Great understanding business analysis, project management and solution design
Communicates effectively, develops, and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Must have broad understanding of the business technology landscape, the ability to design reports, and strong analytical skills
Excellent understanding of SQL, Python, Tableau
Know how to read/write to database systems, such as SQL, NoSQL (Graph, KV, Columnar), Object Storage, with ability to work with various data formats
To be familiar with the ETL processes and Task/Job Schedulers and ability to troubleshoot technical issues on your own
Experience in building and consuming APIs
Experience on DataOps, CI/CD, automation of ETL pipelines

Job Responsibility

Design, build and enhance high-performance, data-intensive solution from all the way to data acquisition, rendering, visualization, and distribution
Mandatory experience in Building and enhancing existing data quality process to ensure accuracy, timeliness and completeness of various dashboard and reports
Determines appropriateness, and guides revisions/refinement of presentation content and materials for Governance forums
Monitor and improve the reliability and performance, scalability of the data services
Coordinate work within team or project group - escalate where required in a timely basis
Liaises with multiple Data teams/departments and serve as subject matter for planning and analysis of project deliverables and processes
Prework on the governance agenda required and appropriately highlight the relevant dependencies and Risk. Work with the team to get the information up to date before senior management review

Fulltime

Senior Data Engineer

The Windows and Devices mission is to build innovative, trusted, and open produc...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related field OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field OR equivalent experience
Have experience building cloud-based data pipelines and data stores
7+ years of experience in data engineering or a similar role
Proficiency in programming languages such as Python, Scala or Java
Strong experience with SQL and database technologies
Familiarity with big data technologies (e.g., Hadoop, Spark)
Strong working knowledge of Microsoft Fabric components and ecosystems (e.g., OneLake, Data Factory, Synapse)

Job Responsibility

Lead critical initiatives to help our data platform scale to the needs of business priorities and technology advancements
Build scalable data models and pipelines to extract, load, and transform data, ensuring secure storage with a focus on data quality and compliance on Azure using services such as ADF, HDInsight, Fabric, and Synapse
Design and develop datasets that enable an AI-ready data platform supporting AI/ML pipelines, feature engineering, and Copilot applications
Provide technical leadership across the team by mentoring engineers and leading solution implementation in alignment with approved business and data requirements
Implement and Lead CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps
Anticipate data governance needs, design modeling and handling procedures, and ensure compliance with laws and policies governing data accessibility
Lead the design and maintenance of enterprise ontologies and semantic models to support AI and knowledge graph initiatives

Fulltime

Senior Technical Product Manager, Identity

tvScientific is looking for a Senior Product Manager to lead our identity graph ...

Location

United States

Salary:

165000.00 - 180000.00 USD / Year

tvScientific

Expiration Date

Until further notice

Requirements

6+ years in product management, solutions engineering, or technical partnerships focused on data-driven products, audience targeting, or martech
Deep experience working with Data Science and Engineering teams to build and launch data infrastructure
Expertise in identity resolution, segmentation, onboarding, and activation workflows
Proven ability to source, evaluate, and operationalize third-party data partnerships
Strong analytics mindset and comfort working with large datasets
Technical fluency across APIs, data pipelines, audience graphs, and privacy frameworks
Excellent communication skills that translate technical ideas into real business value
A solid foundation in AdTech

Job Responsibility

Own the identity product strategy and lead the vision for tvScientific’s identity graph enabling persistent, multi-device recognition across CTV and digital
Partner with Data Engineering and Data Science to architect and optimize graph-based data models representing user identity, household relationships, and device linkages
Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows
Embed privacy-centric solutions like UID 2.0, RampID, and emerging standards into the graph infrastructure to ensure compliance and scalability
Source, evaluate, and onboard third-party identity and behavioral data providers to improve graph completeness and targeting precision
Lead technical integration and operationalization of identity and graph enrichment partners, managing ingestion, data mapping, and deployment
Collaborate with Legal, Security, and Data teams to ensure compliance with CCPA, GDPR, and global privacy regulations
Maintain a strategic view of the identity and data ecosystem to recommend build versus partner strategies that maximize value
Write detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on performant graph storage, traversal, and querying
Define and monitor key metrics such as match rates, accuracy, persistence, identity coverage, and campaign performance impact

What we offer

Full health, dental, and vision insurance - up to 95% funded by the company for employees
Employee stock option program
Company-sponsored retirement plan with a matching contribution program
12 annual paid holidays (including 2 flexible days)
Generous PTO policy
A remote-first environment that allows employees flexibility to work from most places in the US

Fulltime

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...

Location

United States , San Francisco

Salary:

253500.00 - 380500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
Hands-on experience with Looker or other BI/semantic modeling tools
Strong understanding of graph-based data models, recommendation systems, and personalization architectures
Expertise in data modeling, metadata management, and semantic layers
Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
Strong foundation in data governance, lineage, cataloging, and compliance frameworks
Excellent communication and leadership skills to align technical direction across diverse teams

Job Responsibility

Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity

Fulltime

Lead Data Engineer

We're building the expert intelligence layer for scientific research: a knowledg...

Location

Denmark , København og omegn

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Graph Databases: Neo4j, ArangoDB, Neptune
schema design, relationship modelling, query optimisation
Python Data Engineering: ETL development
pandas/polars
distributed processing with Spark or Dask
Entity Resolution: Deduplication, merging, enrichment across heterogeneous scientific data sources
AI-Assisted Data Extraction: LLM entity extraction, schema generation & quality validation
Vector Search: Experience with Pinecone, FAISS, Qdrant, or Weaviate
embeddings, hybrid retrieval
Workflow Orchestration: Robust, observable pipelines using Airflow or Dagster

Job Responsibility

Own data end-to-end, design & run data pipelines turning millions of scientific records into a knowledge graph
Implement precision entity resolution & enrichment, disambiguate & enrich experts from noisy data sources
Utilise LLM workflows where it makes sense, for entity extraction, relationship inference & quality validation
Develop vector embeddings & semantic search capabilities to power expert discovery & similarity matching
Model life-science entities & relationships, ontologies, author networks, publication & clinical trial metadata
Build graph & vector data access, performant, accessible, reliable, observable & testable data access
Move fast & ship value incrementally, done-and-iterating beats perfect-and-pending
Radiate intent & document your thinking openly, collaborating async-first in a hybrid environment
Lead when you're the expert, follow when someone else is, challenging assumptions when necessary
Use AI as a daily force multiplier across coding, schema design, debugging, optimisation & validation

Fulltime

Lead Graph Data Engineer

Wells Fargo

Location:
United States , ISELIN ▼
CHARLOTTE
IRVING

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 25, 2026

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