Data Engineering Manager, Analytics Job at Meta (Menlo Park)

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions of events each month into ou...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

FLEX Senior Manager, Onsite Digital Data Management

This is a temporary position. We are looking for a Sr Manager, Owned Channels Di...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data management, analytics, and marketing technology OR 2+ years of experience in data management, analytics and marketing technology with a Master's degree
Proven expertise in designing and engineering complex data flows for customer data & audience development with proficiency in SQL
In-depth knowledge and hands-on experience with full funnel tag management and digital analytics platforms (e.g., Adobe Analytics, Google Analytics etc.)
Strong understanding of marketing and ad technologies, customer data platforms (CDP), and cloud data warehouses (e.g., Snowflake, AWS)
Proven ability to deliver impactful results while managing complex, high-stakes initiatives with ambiguity and cross-functional collaboration
Strong leadership skills with a track record of working closely with marketing, digital, and technology teams to drive data strategy and innovation

Job Responsibility

Provide leadership, consulting, and information expertise to achieve the goals for marketing & media
Work with MarTech and IT teams to develop and deploy an effective digital & customer data infrastructure
Contribute to data strategy, data management, and enhanced data products for use by the Marketing discipline
Contribute to the broader data strategy and effectively prioritize implementation tactics for onsite data to ensure they are in line with overall organizational goals and long-term business strategies
Work closely with the marketing and analytics teams to identify key performance indicators (KPIs) and data requirements necessary for optimizing segmentation strategies and enhancing ROI
Manage vendors/technical staff to build the infrastructure to support data & reporting solutions in AWS, Snowflake, Adobe etc
Oversee development of systems and technologies that reduce manual processes and data quality issues relating to data capture
Partner with Analytics and IT to build Data Management, Analytics and Reporting roadmaps for future years
Partner with business leadership to secure funding for critical Data Management & IT programs

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Data Engineering Manager

We are looking for a talented Data Engineering Manager with over 8 years of expe...

Location

India , Bengaluru

Salary:

Not provided

6sense

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role
Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools
Proficiency in programming languages such as Python and Java
experience with Scala is a plus
Proven track record of designing and implementing scalable data systems and pipelines
Excellent leadership, communication, and interpersonal skills
Strong problem-solving and analytical abilities and a proactive approach to addressing challenges
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

Job Responsibility

Lead, mentor and manage a team of data engineers, and tech leads
Build, hire and grow the team
Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop
Ensure data quality, consistency, and security across all data systems
Relentlessly pursue goals on data coverage, data freshness, data quality and key performance & SLA metrics
Have high technical competence and background with track record of individual technical accomplishments
Play the role of the architect for the team
Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption

What we offer

Health coverage
Paid parental leave
Generous paid time-off and holidays
Quarterly self-care days off
Stock options
Equipment and support for remote or onsite work
Learning and development initiatives including LinkedIn Learning
Quarterly wellness education sessions
ERG-hosted events.

Fulltime

Senior Manager, Product Management Data and Analytics AdTech

We are seeking a Senior Manager, Product Management (Data & Analytics) to lead o...

Location

United States , Bellevue

Salary:

151700.00 - 273700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Engineering, or Information Technology
Master's/Advanced Degree Business Administration or Technology Management
4-7 years experience in product management experience, including at least 3+ years in a leadership or mentorship capacity
Strong SQL skills
demonstrated experience integrating machine learning or predictive modeling into product strategies
Proven success leading small product teams, driving alignment, and encouraging teamwork across cross-functional groups
Ability to frame business problems in analytical terms and translate insights into actionable product features
Familiarity with ad tech identity solutions (MAIDs, cookies, IDFVs), privacy regulations (GDPR, CCPA), and data governance
Capable of articulating sophisticated technical concepts to diverse audiences, including executives, engineers, and clients
Track record of delivering products

Job Responsibility

Platform Data Product Strategy & Vision Define and execute the platform data and analytics roadmap
Hands-on Technical Execution Use SQL and other data analysis tools to investigate product performance
Team Leadership & Development Lead, mentor, and develop a small team of product managers or analysts
Machine Learning Integration Collaborate with data science teams to embed ML models into product offering
Cross-Functional Collaboration Work closely with engineering, data science, sales, and marketing to align on product goals
Data-Driven Decision-Making Leverage product metrics, user feedback, and analytics to inform decisions
Client & Stakeholder Engagement Gather and prioritize feedback from internal and external stakeholders
Market & Competitive Analysis Stay informed on emerging industry trends, technologies, and competitor strategies
Ownership of Full Product Lifecycle Oversee products from ideation through launch and ongoing optimization
Compliance & Privacy Collaborate with legal and compliance teams to design privacy-first product features

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions events each month into our a...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...

Location

United States , Washington, DC

Salary:

165000.00 - 295625.00 USD / Year

Arcadia

Expiration Date

Until further notice

Requirements

Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
Experience with data governance, security, and compliance in handling sensitive customer data

Job Responsibility

Build, lead, and scale a successful data organization
Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
Ensure data quality and that we are building our products to give our customers the insight they need
Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases

What we offer

competitive benefits and equity component to the package

Fulltime

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Sap Btp Data & Analytics Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

3+ years of experience with SAP Datasphere, SAP Analytics Cloud, SAP Databricks, and SAP BW/4HANA
Strong knowledge of data modeling, SQL, data integration & reporting techniques
Experience with data extraction, delta loads, and reporting from S/4HANA or other SAP systems
English B2+

Job Responsibility

Develop and maintain data models in SAP Datasphere for reporting and analytics consumption
Design and enhance stories and planning models in SAP Analytics Cloud
Build ETL and replication flows, manage task chains, and maintain data consistency across systems
Collaborate with business stakeholders to gather requirements and propose solutions
Ensure solutions are scalable, reliable, and aligned with global project standards

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Data Engineering Manager, Analytics

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2026

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