Senior Manager, Data Engineering Job at Unilever (Ontario)

Senior Manager, Data Engineering

Senior Manager, Data Engineering (Enterprise Platforms Technology) Do you love ...

Location

United States , McLean

Salary:

229900.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks
Optimize information system for end-user and downstream application consumers by using sound data design practices
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Competitive set of health, financial and other benefits

Fulltime

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...

Location

United States , Palo Alto

Salary:

83.98 - 111.27 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
8+ years of hands-on experience in data engineering, data warehousing, or a related field
3+ years of experience in a leadership or management role, directly managing multiple technical teams
Experience in a healthcare or academic medical center environment is highly desirable
Proven ability to lead, mentor, and grow multiple high-performing engineering teams
Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
Expert-level SQL skills and proficiency in a programming language such as Python or Scala

Job Responsibility

Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
Foster a culture of collaboration, innovation, and operational excellence
Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
Recruit, coach, and motivate team members, developing leadership competencies within the team
Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery

Fulltime

Senior Manager, Data Engineering

Senior Manager, Data Engineering. Do you love building and pioneering in the tec...

Location

United States , McLean, Virginia; Richmond, Virginia

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Engineering Manager, Data Plane Systems

Crusoe is seeking a Senior Engineering Manager, Data Plane Systems to lead the t...

Location

United States , San Francisco

Salary:

237600.00 - 288000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

At least 10+ years in high-performance networking or systems engineering, with 5-7+ years specifically managing senior/staff-level talent
Deep knowledge of Linux networking internals, kernel architecture, and experience with XDP/eBPF, AF_XDP, and DPDK
Hands-on experience with DPU integration and migrating networking functions to hardware accelerators
A strong understanding of low-latency networking, performance tuning, and benchmarking
The ability to resolve complex technical challenges in a fast-moving, execution-heavy environment

Job Responsibility

Define the roadmap for SDN data plane systems and lead the integration of DPUs (such as NVIDIA BlueField) and hardware accelerators
Oversee the development of Linux kernel networking components, XDP/eBPF data paths, and DPDK-based fast paths while driving the migration of networking functions to hardware offload architectures
Lead performance benchmarking, regression prevention, and incident response, ensuring operational excellence within 3-6 month execution cycles
Mentor and grow a team of senior and staff-level systems engineers, setting technical standards and fostering a high-performance culture of accountability
Partner closely with control-plane teams (OVN/OVS) to optimize throughput and latency for multi-tenant GPU clusters

What we offer

Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)

Fulltime

Senior Manager, Data Engineering, Provider Analytics

Healthfirst is in need of a Senior Manager, Data Engineering, Provider Analytics...

Location

United States

Salary:

252712.00 - 260000.00 USD / Year

Healthfirst

Expiration Date

Until further notice

Requirements

Bachelor’s degree or foreign education equivalent in Computer Science, Electronics Engineering or related field
five (5) years of experience performing machine learning (ML) infrastructure and ML operations development within a health plan or provider organization
Demonstrated expertise using AWS or other public cloud platforms for fulfilling Data Engineering responsibilities
Demonstrated expertise performing data management and quality assurance
Demonstrated expertise engineering distributed systems and data infrastructure
Demonstrated expertise programming using R, python, Java, and C#

Job Responsibility

Improve the value and utility of provider data and provider data products
Create high-impact data products in the service of our internal business and external provider partners
Collaborate internally to build and maintain provider data assets and documentation
Manage and ensure data quality and assurance for the Provider Analytics team
Collaborate with the Provider Analytics team and Hyphen to build ML-based and provider facing decision support tools
Collaborate with the broader data management and data engineering teams to establish standards and practices around ML Ops, including governance, compliance, and data security

What we offer

medical
dental
vision coverage
incentive and recognition programs
life insurance
401k contributions

Senior Data Engineering Manager

We’re scaling fast and need a hands-on Data Engineering Manager to join our dyna...

Location

India

Salary:

Not provided

YipitData

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline
8+ years in data engineering (or adjacent), including 2-3+ years formally managing 1-3 engineers
Proven hands-on experience with: Big Data ecosystems (Spark, Hive, Hadoop)
Databricks (including Delta Lake, MLFlow, Unity Catalog)
Robust programming experience in Python and PySpark
Deep understanding of data modeling, ETL/ELT processes using Streaming, and performance tuning
Experience managing Agile teams and delivering complex projects on time
Excellent problem-solving, leadership, and communication skills
Experience designing and implementing Agentic Models with Data Pipelines (Data Cleaning and creative Feature Engineering)
Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design

Job Responsibility

Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems
Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
Hire, onboard, and develop a high-performing team—1-on-1s, growth plans, and performance reviews
Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products
Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring
Ensure high data quality, governance, and compliance with internal and external policies
Optimize performance and cost efficiency of data infrastructure in the cloud
Architect and evolve our data platform (batch & streaming) for scale, cost, and reliability
Own the end-to-end vision and strategic roadmap for various projects
Create documentation, architecture diagrams, and other training materials

Fulltime

Senior Manager Data Engineering

Lead data-driven transformation at Riverflex. At Riverflex, we help organization...

Location

Netherlands , Amsterdam

Salary:

Not provided

Riverflex

Expiration Date

Until further notice

Requirements

A Master’s Degree in Computer Science, Data Science, or a related field
7+ years of experience in data engineering roles
Proven experience leading complex data engineering projects and technical teams
Strong hands-on expertise in Python, SQL, and distributed data processing frameworks (e.g. Spark)
Extensive experience with Azure and Databricks in enterprise environments
Deep understanding of data modeling, lakehouse architectures, and modern data warehousing concepts
Experience with real-time data ingestion, orchestration, and workflow management (e.g. Airflow, Azure Data Factory)
Strong background in DevOps/DataOps, CI/CD, and infrastructure as code (Terraform)
Solid understanding of data governance, quality, security, and compliance
Excellent communication, stakeholder management, and leadership skills

Job Responsibility

Lead the architecture, design, and delivery of end-to-end data platforms on cloud environments (Azure, Databricks)
Define and oversee the implementation of scalable, secure, and high-performance data pipelines (batch and real-time)
Act as the technical authority on data engineering topics across client engagements
Ensure platform reliability, performance, monitoring, and cost efficiency
Lead, mentor, and grow teams of data engineers, fostering engineering excellence and best practices
Set standards for data modeling, data quality, testing, documentation, and governance
Contribute to capability building within the D&A practice, including tooling, accelerators, and reusable frameworks
Support hiring, onboarding, and career development of data engineering talent
Serve as a trusted advisor to senior client stakeholders, translating business needs into technical solutions
Lead technical discussions, solution proposals, and roadmap planning with clients

What we offer

An exceptional experience of working for a fast-growing start-up, with a fun, dynamic, and stable international environment
A unique opportunity to work in an open-talent network ecosystem with top industry specialists and consultants
Opportunities to work on projects for clients across all our international markets
A growth culture that values autonomy, initiative, and creativity, with fast growth opportunities
An experienced, ambitious, and innovative management team with a professional approach from previous Big 4 firms
Competitive salary and practical benefits such as flexible working arrangements, with the option to work from home or our office space in a start-up hub in the heart of Amsterdam

Fulltime

Senior Data Engineering Manager

The volume and velocity of data at Intercom are exploding, fueled by our growth ...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

7+ Years Experience: You have a proven, full-time career history in the data space, leading teams of 6+ Engineers.
Stakeholder Focus: You can communicate complex technical solutions to a business focused audience and vice versa. You are comfortable interacting with stakeholders across the entire breadth of the business.
Technical Depth: Your team will be responsible for the majority of execution, but you’re not afraid to get your hands dirty and write code when it’s needed. You lead from the front.
A Leader & Mentor: You naturally recognize opportunities to step back and mentor others, understanding when your guidance will multiply the team's output.

Job Responsibility

Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.
Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they need to move fast and deploy safely.
Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment (where dozens of changes can ship daily).
Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.
GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business focused internal software.
Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible, users should be able to query information—getting both raw numbers and contextual narratives instantly—without needing a data science degree or waiting on analysts.
Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure and to ensure it can scale exponentially for future growth and advanced use cases.

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed.

Fulltime

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