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

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Sr. Manager- Data Engineering

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

96404.10 - 169021.85 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
8+ years experience in data engineering solutions such as data platforms, data ingestion, data management, or publication/analytics
3+ years leadership experience building and managing a high performing teams
2+ years experience in Google Cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows
Progressively responsible experience starting as Data Engineer and advancement in complexity, and level of responsibility
Must be highly analytical having the proven ability to develop and reverse complex engineering solutions
Critical thinking and advanced problem-solving skills are core behaviors among the team
Excellent oral/written communication and presentation skills
Experience in objectively evaluating current processes for opportunities to optimize inter departmental communication, collaboration, and end-to-end process performance

Job Responsibility

Design and build trusted, reliable and timely datasets, metrics and data pipelines that are critical to the direction of the company
Build and lead a high-performing data engineering team in a hands-on technical capacity
Be responsible for shaping how we acquire, collect and leverage data
Define and manage SLA's for all data sets and processes running in production
Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems
Develop data democratization layer for self-served reporting
Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions
Support, grow, mentor and inspire new and existing team members
Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven
Performs other duties as assigned

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Data Engineering Support Engineer / Manager

Wissen Technology is hiring a seasoned Data Engineering Support Engineer / Manag...

Location

India , Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Bachelor of Technology or master's degree in computer science, Engineering, or related field
8-12 years of work experience
Python, SQL
Familiarity with data engineering
Experience with AWS data and analytics services or similar cloud vendor services
Strong problem solving and communication skills
Ability to organise and prioritise work effectively

Job Responsibility

Incident and user management for data and analytics platform
Development and maintenance of Data Quality framework (including anomaly detection)
Implementation of Python & SQL hotfixes and working with data engineers on more complex issues
Diagnostic tools implementation and automation of operational processes
Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment
Support research analysts and traders with issue resolution

Fulltime

Senior Product Manager (data & analytics) contractor

Userlane is a market-leading Digital Adoption Platform that empowers organisatio...

Location

Poland

Salary:

Not provided

Userlane GmbH

Expiration Date

Until further notice

Requirements

5+ years of product management experience on data/analytics products within a modern product organisation
You've built analytics for executives or senior leaders - people who need insights pushed to them, not analysts who hunt for data. You understand the difference between interesting data and actionable insight
You start with the business question, not the data. Your first instinct is "what decision are they trying to make?" rather than "what data do we have?"
You have strong opinions on data visualisation for time-poor executives and a clear rationale for every data point you include in your solutions
You've worked in enterprise B2B (not B2C product analytics). Healthcare experience is a strong plus
You figure out what works by talking to customers and watching them use the product
You're capable of explaining things to engineers, salespeople, support agents and CEOs alike
You’re fluent in English (spoken and written)

Job Responsibility

Own Application Intelligence at Userlane. You'll shape what we build across App Discovery, HEART Analytics and Portfolio Overview to help enterprise CIOs and IT leaders see where software spending delivers value and where it creates waste
Delivering outcome-linked metrics: Evolve our HEART Analytics to connect usage data to business outcomes like cost savings, efficiency and compliance risk that enterprise executives can take action on
Building for time-poor executives: Design analytics that bring insights to leaders and answers "what should I do?" not just "what happened?"
Scaling portfolio intelligence: Define how to connect engagement, cost and risk data across hundreds of applications, helping executives understand where value is created or lost in their software portfolio
Connecting fragmented data sources: Define the integration strategy to combine Userlane behavioural data with cost data from SAM tools, license data from IT asset management and employee data from HR systems
Transforming insights into action: Define what turns raw usage data into insights that drive action, not just dashboards people look at once
AI adoption governance: Extend analytics to measure how AI assistants and agents affect productivity, cost and ROI

What we offer

Team & Culture: A high-performance culture with great leadership and a fun, engaged, motivated and diverse team with people from over 20 countries
Impact: You’ll be part of an empowered cross-functional team given the freedom and autonomy to solve real customer problems
Product strategy influence: Work directly with our VP Product to shape our 2026-2030 strategy as we expand into new sectors
Market: Userlane is among the global leaders in the rapidly growing Digital Adoption industry
Growth: We take you and your development seriously. You can expect weekly 121s, a personalised skills assessment and development plan, on-the-job coaching and budget for events and training

Fulltime

Senior Product Manager (data & analytics)

Userlane is a market-leading Digital Adoption Platform that empowers organisatio...

Location

Germany , Munich

Salary:

Not provided

Userlane GmbH

Expiration Date

Until further notice

Requirements

5+ years of product management experience on data/analytics products within a modern product organisation
Experience building analytics for executives or senior leaders
Strong opinions on data visualisation for time-poor executives
Experience in enterprise B2B (not B2C product analytics)
Healthcare experience is a strong plus
Capable of explaining things to engineers, salespeople, support agents and CEOs alike
Fluent in English (spoken and written)

Job Responsibility

Own Application Intelligence at Userlane
Shape what we build across App Discovery, HEART Analytics and Portfolio Overview
Deliver outcome-linked metrics
Build for time-poor executives
Scale portfolio intelligence
Connect fragmented data sources
Transform insights into action
Govern AI adoption

What we offer

High-performance culture with great leadership and a fun, engaged, motivated and diverse team
Part of an empowered cross-functional team
Work directly with our VP Product to shape our 2026-2030 strategy
Userlane is among the global leaders in the rapidly growing Digital Adoption industry
Weekly 121s
Personalised skills assessment and development plan
On-the-job coaching
Budget for events and training

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data & Analytics Engineer

Join the best engineering team in media. Morning Brew Inc. is looking for a mid-...

Location

United States

Salary:

150000.00 - 170000.00 USD / Year

Morning Brew Inc.

Expiration Date

Until further notice

Requirements

5+ years of experience in data modeling, querying and developing for cloud data warehouse, and pipeline development
Strong proficiency in SQL, with a track record of writing and optimizing complex queries for large datasets
Experience with DBT (or similar data transformation tools)
Experience in Python or a similar scripting language for building data applications

Job Responsibility

Modeling and serving data that powers our business at every level
Improving the data architecture and adapting to new and changing business requirements
Working with leadership, product engineering, product management, analytics and insights teams to develop and sustain our first party data strategy
Working with the rest of the Product team to ensure the data stack can stay in lock step with the product software stack
Working to not only model and serve data but to tell stories with it

What we offer

401(k) employer match
Premium health, vision, and dental plans
Mental health benefits
Extra help when you need it: including a care concierge, plus free access to One Medical and the Calm app
Family planning: Generous paid parental leave and fertility coverage for eligible employees
Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded
Gym and workout class reimbursements
Annual learning credit

Fulltime

Data Engineering Manager, Analytics

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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